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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9c8f7904074bb9ce6b58051b3df70e3b317ad317 | 4,996 | py | Python | tests/tensor/random/test_op.py | fshart/aesara | 1ddf96a7b8e8503fb8773b09c3ca77483fd884c4 | [
"BSD-3-Clause"
] | 111 | 2021-01-29T06:12:58.000Z | 2021-06-04T20:27:51.000Z | tests/tensor/random/test_op.py | fshart/aesara | 1ddf96a7b8e8503fb8773b09c3ca77483fd884c4 | [
"BSD-3-Clause"
] | 253 | 2020-02-07T15:19:38.000Z | 2021-01-27T20:26:55.000Z | tests/tensor/random/test_op.py | fshart/aesara | 1ddf96a7b8e8503fb8773b09c3ca77483fd884c4 | [
"BSD-3-Clause"
] | 38 | 2020-07-20T12:09:06.000Z | 2021-01-27T13:38:50.000Z | import numpy as np
from pytest import fixture, raises
import aesara.tensor as aet
from aesara import config
from aesara.gradient import NullTypeGradError, grad
from aesara.raise_op import Assert
from aesara.tensor.math import eq
from aesara.tensor.random.op import RandomVariable, default_shape_from_params
from aesara.... | 27.60221 | 86 | 0.607086 |
4c9b9272616123fe6fddfbe34580de18de3df511 | 1,716 | py | Python | script.py | unknownerror1019/Auto-Filter-Bot-V2 | 619136b56621111e1009871e16a626d14a0d3c26 | [
"MIT"
] | null | null | null | script.py | unknownerror1019/Auto-Filter-Bot-V2 | 619136b56621111e1009871e16a626d14a0d3c26 | [
"MIT"
] | null | null | null | script.py | unknownerror1019/Auto-Filter-Bot-V2 | 619136b56621111e1009871e16a626d14a0d3c26 | [
"MIT"
] | null | null | null | class script(object):
START_MSG = """ <b>Hi {}
Ada ni e group join chyada @chat_with_gopuzzedit .E group join chytha pine ni Vara group join chyanda athe editing materialum E group kidm eshta patta kuda kudiko kuda nammal unde Any other help contact owner: @GOPUZZ_EDIT02
💞💞💞💞💞💞💞💞💞💞💞💞💞
For more clic... | 26.4 | 224 | 0.681235 |
5110effc9e4f4bdcf6870077894fc86f20c93bbc | 773 | py | Python | egs2/jmd/tts1/local/clean_text.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 5,053 | 2017-12-13T06:21:41.000Z | 2022-03-31T13:38:29.000Z | egs2/jmd/tts1/local/clean_text.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 3,666 | 2017-12-14T05:58:50.000Z | 2022-03-31T22:11:49.000Z | egs2/jmd/tts1/local/clean_text.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 1,709 | 2017-12-13T01:02:42.000Z | 2022-03-31T11:57:45.000Z | #!/usr/bin/env python
# Copyright 2021 Takenori Yoshimura
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import argparse
import re
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--skip-header", action="store_true", help="if true, skip first line"
... | 30.92 | 77 | 0.583441 |
c81132dd79b8e373639f24418966a0cbb369b1d8 | 5,589 | py | Python | assets/lib/shaka-player/build/shakaBuildHelpers.py | amitrai1095/uFaberTemp | 279ba03e507ac0b4b7a87ea5c39e2c9d1fe67e29 | [
"CC0-1.0"
] | null | null | null | assets/lib/shaka-player/build/shakaBuildHelpers.py | amitrai1095/uFaberTemp | 279ba03e507ac0b4b7a87ea5c39e2c9d1fe67e29 | [
"CC0-1.0"
] | null | null | null | assets/lib/shaka-player/build/shakaBuildHelpers.py | amitrai1095/uFaberTemp | 279ba03e507ac0b4b7a87ea5c39e2c9d1fe67e29 | [
"CC0-1.0"
] | null | null | null | #
# Copyright 2016 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | 31.755682 | 80 | 0.688674 |
c3be8f87ab68461e718f8746c01f74b7d2d36c61 | 739 | py | Python | ppq/quantization/measure/statistic.py | openppl-public/ppq | 0fdea7d4982bc57feb6bb8548c7f012707fbd607 | [
"Apache-2.0"
] | 100 | 2021-12-31T09:34:06.000Z | 2022-03-25T02:54:51.000Z | ppq/quantization/measure/statistic.py | openppl-public/ppq | 0fdea7d4982bc57feb6bb8548c7f012707fbd607 | [
"Apache-2.0"
] | 12 | 2021-12-31T10:28:15.000Z | 2022-03-31T07:08:44.000Z | ppq/quantization/measure/statistic.py | openppl-public/ppq | 0fdea7d4982bc57feb6bb8548c7f012707fbd607 | [
"Apache-2.0"
] | 21 | 2021-12-31T09:51:02.000Z | 2022-03-30T12:21:55.000Z | import torch
def torch_KL_divergence(hist: torch.Tensor, ref_hist: torch.Tensor, eps=1e-30) -> float:
if hist.ndim != 1 or ref_hist.ndim != 1: raise ValueError(
'Only 1 dimension tensor can compute KL divergence with another tensor. '\
f'While your input hist has dimension {hist.ndim} and ref_hist ... | 56.846154 | 115 | 0.7023 |
0d40300c8911c8d4d559c5cbfced72c9a7468104 | 965 | py | Python | py/tools/get_version_unittest.py | arccode/factory | a1b0fccd68987d8cd9c89710adc3c04b868347ec | [
"BSD-3-Clause"
] | 3 | 2022-01-06T16:52:52.000Z | 2022-03-07T11:30:47.000Z | py/tools/get_version_unittest.py | arccode/factory | a1b0fccd68987d8cd9c89710adc3c04b868347ec | [
"BSD-3-Clause"
] | null | null | null | py/tools/get_version_unittest.py | arccode/factory | a1b0fccd68987d8cd9c89710adc3c04b868347ec | [
"BSD-3-Clause"
] | 1 | 2021-10-24T01:47:22.000Z | 2021-10-24T01:47:22.000Z | #!/usr/bin/env python3
# Copyright 2014 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Unit tests for get_version."""
import os
import unittest
from cros.factory.tools import get_version
SCRIPT_DIR = os.path.di... | 24.74359 | 74 | 0.737824 |
ebb3edef0b312bb6f8daff1089a76e79781af012 | 146 | py | Python | src/constants.py | BridgeMia/ProductEmbedding | 90f18fd7e8abc4ac629ad0ea1a5a87d4f397650f | [
"MIT"
] | null | null | null | src/constants.py | BridgeMia/ProductEmbedding | 90f18fd7e8abc4ac629ad0ea1a5a87d4f397650f | [
"MIT"
] | null | null | null | src/constants.py | BridgeMia/ProductEmbedding | 90f18fd7e8abc4ac629ad0ea1a5a87d4f397650f | [
"MIT"
] | null | null | null | import os
from src.utils import pathfinder
root = pathfinder.find_root()
# Data
TRAIN_DATA_PATH = os.path.join(root, r'data/train_data.csv')
| 13.272727 | 60 | 0.753425 |
c17b073ea5bd137e6a1dd9120f771e0b2cb4d8c9 | 18,668 | py | Python | gammal kod/Cartpole_main_v5.py | Monras/KEXinatorn | 7191f2384440f50bede999c8f66d5b909dc4918f | [
"CC-BY-3.0"
] | 1 | 2021-03-05T21:46:51.000Z | 2021-03-05T21:46:51.000Z | gammal kod/Cartpole_main_v5.py | Monras/KEXinatorn | 7191f2384440f50bede999c8f66d5b909dc4918f | [
"CC-BY-3.0"
] | null | null | null | gammal kod/Cartpole_main_v5.py | Monras/KEXinatorn | 7191f2384440f50bede999c8f66d5b909dc4918f | [
"CC-BY-3.0"
] | 4 | 2020-10-28T17:47:23.000Z | 2021-11-24T22:08:08.000Z | # By Måns Rasmussen and Gustaf Holte
"""Simulates an inverted pendulum and balance it using Neural Network coding
version 3:
- Can load and save models and training data
- Can train itself itteratevly with theta_limit getting narrower for each time as well as having different \
sc... | 49.386243 | 214 | 0.595457 |
d3c361f9f76dac40c261aa917b84714218a71c19 | 12,308 | py | Python | notebooks/python/cartopy_mapping_pyproj.py | Pearl-Ayem/ATSC_Notebook_Data | c075d166c235ac4e68a4b77750e02b2a5e77abd0 | [
"MIT"
] | null | null | null | notebooks/python/cartopy_mapping_pyproj.py | Pearl-Ayem/ATSC_Notebook_Data | c075d166c235ac4e68a4b77750e02b2a5e77abd0 | [
"MIT"
] | null | null | null | notebooks/python/cartopy_mapping_pyproj.py | Pearl-Ayem/ATSC_Notebook_Data | c075d166c235ac4e68a4b77750e02b2a5e77abd0 | [
"MIT"
] | null | null | null |
# coding: utf-8
# <h1>Table of Contents<span class="tocSkip"></span></h1>
# <div class="toc"><ul class="toc-item"><li><span><a href="#Using-pyproj-with-cartopy" data-toc-modified-id="Using-pyproj-with-cartopy-1"><span class="toc-item-num">1 </span>Using pyproj with cartopy</a></span><ul class="toc-item"><l... | 34 | 3,820 | 0.699139 |
c8976f1cf20b3d0cc5a62458348d2a554fb53054 | 4,659 | py | Python | FastRCNN/FastRCNN_config.py | jakkaj/CNTK_AMLWorkbench | 27a496c665f2565e15450da8743807f528326d5e | [
"MIT"
] | 6 | 2017-11-16T21:26:38.000Z | 2020-05-04T21:06:10.000Z | FastRCNN/FastRCNN_config.py | jakkaj/CNTK_AMLWorkbench | 27a496c665f2565e15450da8743807f528326d5e | [
"MIT"
] | null | null | null | FastRCNN/FastRCNN_config.py | jakkaj/CNTK_AMLWorkbench | 27a496c665f2565e15450da8743807f528326d5e | [
"MIT"
] | 2 | 2017-11-22T05:42:27.000Z | 2018-12-31T11:18:26.000Z | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
import os
import os.path as osp
import numpy as np
from easydict import EasyDict as... | 39.151261 | 114 | 0.767976 |
32aae0b93240779f53c5f6af2e2bb969e6691b9f | 14,983 | py | Python | evaluation/precision_recall.py | ratschlab/circEWS | b2b1f00dac4f5d46856a2c7abe2ca4f12d4c612d | [
"MIT"
] | 34 | 2020-03-17T16:42:00.000Z | 2022-03-29T15:53:24.000Z | evaluation/precision_recall.py | ranxiao/circEWS | 1e52880c268f8f763bbc16763131634ffc217153 | [
"MIT"
] | 3 | 2020-07-30T22:37:10.000Z | 2021-08-10T00:02:30.000Z | evaluation/precision_recall.py | ranxiao/circEWS | 1e52880c268f8f763bbc16763131634ffc217153 | [
"MIT"
] | 14 | 2020-04-22T01:13:54.000Z | 2021-11-27T20:23:41.000Z | import matplotlib
textsize = 12
matplotlib.rcParams['font.weight'] = 'bold'
matplotlib.rcParams['font.size'] = textsize
matplotlib.rcParams['axes.labelweight'] = 'bold'
matplotlib.rcParams['axes.labelsize'] = textsize
matplotlib.rcParams['axes.titleweight'] = 'bold'
matplotlib.rcParams['axes.titlesize'] = textsize
matp... | 40.168901 | 132 | 0.602483 |
1d621c0c5bb3827a618f4c47b114309af65ae344 | 859 | py | Python | sayi_siralama/sayi_siralama.py | EnesMercan/Python-General | 1213e7dc2b6852f3c50121e712fafed6eb909dbc | [
"MIT"
] | null | null | null | sayi_siralama/sayi_siralama.py | EnesMercan/Python-General | 1213e7dc2b6852f3c50121e712fafed6eb909dbc | [
"MIT"
] | null | null | null | sayi_siralama/sayi_siralama.py | EnesMercan/Python-General | 1213e7dc2b6852f3c50121e712fafed6eb909dbc | [
"MIT"
] | null | null | null | number1 = 0
number2 = 0
number3 = 0
number1 = int(input("\nplease input a fucking number : \n"))
number2 = int(input("\nplease input another number : \n"))
number3 = int(input("\nplease input the last fucking number : \n"))
if number1 > number2 :
if number1 > number3 :
print("\nthe biggest number is \t%6d... | 30.678571 | 67 | 0.608847 |
565df45458dabb403a120b68b8e859bd6be039ee | 6,627 | py | Python | run_realtime.py | daisukelab/ML-KWS-for-MCU | 8de2ef937f72a091aafee13a77c2a561c99fb847 | [
"Apache-2.0"
] | null | null | null | run_realtime.py | daisukelab/ML-KWS-for-MCU | 8de2ef937f72a091aafee13a77c2a561c99fb847 | [
"Apache-2.0"
] | null | null | null | run_realtime.py | daisukelab/ML-KWS-for-MCU | 8de2ef937f72a091aafee13a77c2a561c99fb847 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 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... | 33.811224 | 97 | 0.70092 |
0af8cca09c445d8209f9dc5b91583d6568942745 | 2,837 | py | Python | idunn/utils/settings.py | amatissart/idunn | cae32024165a85ad99881c373a88ea5702631d71 | [
"Apache-2.0"
] | null | null | null | idunn/utils/settings.py | amatissart/idunn | cae32024165a85ad99881c373a88ea5702631d71 | [
"Apache-2.0"
] | null | null | null | idunn/utils/settings.py | amatissart/idunn | cae32024165a85ad99881c373a88ea5702631d71 | [
"Apache-2.0"
] | null | null | null | import os
import yaml
from typing import Any
from inspect import Parameter
import logging
from apistar import Component
def _load_yaml_file(file):
with open(file, 'r') as default:
return yaml.load(default)
class Settings(dict):
"""The type of settings dictionaries.
Annotate your handler paramete... | 33.77381 | 112 | 0.682411 |
02f8d0e2df70ad82c0841c87e76db1677064d76e | 189 | py | Python | 1480-running-sum-of-1d-array/1480-running-sum-of-1d-array.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 1480-running-sum-of-1d-array/1480-running-sum-of-1d-array.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 1480-running-sum-of-1d-array/1480-running-sum-of-1d-array.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def runningSum(self, nums: List[int]) -> List[int]:
output=[nums[0]]
for num in nums[1:]:
output.append(num+output[-1])
return output | 31.5 | 55 | 0.560847 |
373c45c55c6b7c05ed018ee91cbbb07b39a23ca8 | 675 | py | Python | src/HABApp/config/_conf_location.py | DerOetzi/HABApp | a123fbfa9928ebb3cda9a84f6984dcba593c8236 | [
"Apache-2.0"
] | 44 | 2018-12-13T08:46:44.000Z | 2022-03-07T03:23:21.000Z | src/HABApp/config/_conf_location.py | DerOetzi/HABApp | a123fbfa9928ebb3cda9a84f6984dcba593c8236 | [
"Apache-2.0"
] | 156 | 2019-03-02T20:53:31.000Z | 2022-03-23T13:13:58.000Z | src/HABApp/config/_conf_location.py | DerOetzi/HABApp | a123fbfa9928ebb3cda9a84f6984dcba593c8236 | [
"Apache-2.0"
] | 18 | 2019-03-08T07:13:21.000Z | 2022-03-22T19:52:31.000Z | import logging.config
import eascheduler
import voluptuous
from EasyCo import ConfigContainer, ConfigEntry
log = logging.getLogger('HABApp.Config')
class Location(ConfigContainer):
latitude: float = ConfigEntry(default=0.0, validator=voluptuous.Any(float, int))
longitude: float = ConfigEntry(default=0.0, va... | 32.142857 | 85 | 0.745185 |
bd48a981172c58261c35241410e55cb12eb0e25c | 492 | py | Python | windows_packages_gpu/matplotlib/_version.py | codeproject/DeepStack | d96368a3db1bc0266cb500ba3701d130834da0e6 | [
"Apache-2.0"
] | 353 | 2020-12-10T10:47:17.000Z | 2022-03-31T23:08:29.000Z | windows_packages_gpu/matplotlib/_version.py | codeproject/DeepStack | d96368a3db1bc0266cb500ba3701d130834da0e6 | [
"Apache-2.0"
] | 80 | 2020-12-10T09:54:22.000Z | 2022-03-30T22:08:45.000Z | windows_packages_gpu/matplotlib/_version.py | codeproject/DeepStack | d96368a3db1bc0266cb500ba3701d130834da0e6 | [
"Apache-2.0"
] | 63 | 2020-12-10T17:10:34.000Z | 2022-03-28T16:27:07.000Z |
# This file was generated by 'versioneer.py' (0.15) from
# revision-control system data, or from the parent directory name of an
# unpacked source archive. Distribution tarballs contain a pre-generated copy
# of this file.
import json
import sys
version_json = '''
{
"dirty": false,
"error": null,
"fu... | 22.363636 | 78 | 0.699187 |
894e841234d4007864df5bfdbe11548b815472a2 | 1,879 | py | Python | examples/GenerateDealsWithDoubleDummyResults.py | BSalita/endplay | e99acff2e781e084f1982b336be7ee55b0417309 | [
"MIT"
] | null | null | null | examples/GenerateDealsWithDoubleDummyResults.py | BSalita/endplay | e99acff2e781e084f1982b336be7ee55b0417309 | [
"MIT"
] | null | null | null | examples/GenerateDealsWithDoubleDummyResults.py | BSalita/endplay | e99acff2e781e084f1982b336be7ee55b0417309 | [
"MIT"
] | null | null | null | # Generate hands, with constraints, and their double dummy results.
# Contains example code to:
# 1. Calculate distribution points.
# 2. Function to handle constraint.
# 3. Specifying a predeal string.
# 4. Generate multiple deals.
# 5. Calculate double dummy for all deals.
# 6. Create tuples of double dummy results f... | 32.396552 | 163 | 0.705162 |
e199b92e33fa0d37fb986a0553201a6749e2c6c7 | 4,428 | py | Python | bin/executor/staging_area.py | rohansachdeva1990/cassandra-db-loader | a368e225973ddccbf1f5462e596f65df65e22549 | [
"MIT"
] | null | null | null | bin/executor/staging_area.py | rohansachdeva1990/cassandra-db-loader | a368e225973ddccbf1f5462e596f65df65e22549 | [
"MIT"
] | 1 | 2021-04-03T17:51:49.000Z | 2021-04-03T17:51:49.000Z | bin/executor/staging_area.py | rohansachdeva1990/cassandra-db-loader | a368e225973ddccbf1f5462e596f65df65e22549 | [
"MIT"
] | null | null | null | from Queue import Queue
import threading
from bin.executor.batch_generator import BatchGeneratorForSubscriberWithoutDependents, \
BatchGeneratorForSubscriberWithDependents, BatchGeneratorForDependents
from bin.commons.key_saver import CustomerKeySaver
class StagingAreaForSubscribersWithoutDependents:
de... | 44.28 | 168 | 0.653342 |
8aa967d269b9380b1a3bd727d806fbb4ba500a17 | 482 | py | Python | python/qipy/test/projects/a_lib/setup.py | aldebaran/qibuild | efea6fa3744664348717fe5e8df708a3cf392072 | [
"BSD-3-Clause"
] | 51 | 2015-01-05T14:35:13.000Z | 2021-07-27T06:46:59.000Z | python/qipy/test/projects/a_lib/setup.py | aldebaran/qibuild | efea6fa3744664348717fe5e8df708a3cf392072 | [
"BSD-3-Clause"
] | 104 | 2015-04-09T10:48:42.000Z | 2020-09-16T16:33:29.000Z | python/qipy/test/projects/a_lib/setup.py | aldebaran/qibuild | efea6fa3744664348717fe5e8df708a3cf392072 | [
"BSD-3-Clause"
] | 46 | 2015-01-05T14:35:16.000Z | 2022-02-13T20:39:36.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2012-2021 SoftBank Robotics. All rights reserved.
# Use of this source code is governed by a BSD-style license (see the COPYING file).
""" QiBuild """
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import print... | 25.368421 | 84 | 0.707469 |
cee3c12b5dcae8faad1baba1e08780966caaf1be | 51 | py | Python | matsuri_monitor/__init__.py | vancassa/matsuri-monitor | 0ad639303dbc9098098a87743b4bd115e8a855f2 | [
"MIT"
] | 15 | 2020-05-14T09:05:41.000Z | 2022-01-07T09:46:17.000Z | matsuri_monitor/__init__.py | uwupp/matsuri-monitor | e54adbda5cbbb99b312f1dd42f2aa4a0b9c358d5 | [
"MIT"
] | 2 | 2021-03-31T19:37:06.000Z | 2021-12-13T20:36:35.000Z | matsuri_monitor/__init__.py | uwupp/matsuri-monitor | e54adbda5cbbb99b312f1dd42f2aa4a0b9c358d5 | [
"MIT"
] | 14 | 2020-03-30T13:06:27.000Z | 2021-10-08T09:31:33.000Z | from matsuri_monitor._supervisor import Supervisor
| 25.5 | 50 | 0.901961 |
b19a79ce7d450362ddc51cbca77d4958d7a9e02e | 3,299 | py | Python | lulu/extractors/ixigua.py | fakegit/Lulu | 940c9344df8aab6044ec603f8e78d145b0f9bad7 | [
"MIT"
] | 922 | 2018-01-17T09:22:26.000Z | 2022-03-28T04:10:45.000Z | lulu/extractors/ixigua.py | fakegit/Lulu | 940c9344df8aab6044ec603f8e78d145b0f9bad7 | [
"MIT"
] | 83 | 2018-01-16T08:33:55.000Z | 2021-06-25T06:18:24.000Z | lulu/extractors/ixigua.py | fakegit/Lulu | 940c9344df8aab6044ec603f8e78d145b0f9bad7 | [
"MIT"
] | 156 | 2018-02-03T06:24:14.000Z | 2022-01-05T05:39:14.000Z | #!/usr/bin/env python
import re
import json
import base64
import random
import binascii
from urllib import parse
from lulu.common import (
match1,
url_info,
print_info,
get_content,
download_urls,
)
__all__ = ['ixigua_download', 'ixigua_download_playlist']
site_info = '西瓜视频 ixigua.com'
def get... | 29.19469 | 79 | 0.641103 |
1772b03e9f8d7a0077aa0255f2ada98d6a02ca82 | 1,477 | py | Python | rlmodels/nets/FullyConnected.py | nestorSag/rlmodels | c703acb1e7c10c1c65d7e96753f8a7a4a62880a1 | [
"MIT"
] | 2 | 2021-03-17T07:22:34.000Z | 2021-12-22T19:46:16.000Z | rlmodels/nets/FullyConnected.py | nestorSag/rlmodels | c703acb1e7c10c1c65d7e96753f8a7a4a62880a1 | [
"MIT"
] | 1 | 2022-01-30T20:42:49.000Z | 2022-01-30T20:42:49.000Z | rlmodels/nets/FullyConnected.py | nestorSag/rlmodels | c703acb1e7c10c1c65d7e96753f8a7a4a62880a1 | [
"MIT"
] | 2 | 2021-03-17T07:22:38.000Z | 2021-03-22T20:06:10.000Z | import random
import numpy as np
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import itertools
class FullyConnected(nn.Module):
"""neural network with variable number and size of hidden layers. Uses ReLu for all of them and an allo... | 29.54 | 168 | 0.709546 |
53074aab817987375f7f5cc55cbc64fc0f9cd9d4 | 1,201 | py | Python | nipype/interfaces/diffusion_toolkit/tests/test_auto_SplineFilter.py | PAmcconnell/nipype | 39fbd5411a844ce7c023964d3295eb7643b95af5 | [
"Apache-2.0"
] | null | null | null | nipype/interfaces/diffusion_toolkit/tests/test_auto_SplineFilter.py | PAmcconnell/nipype | 39fbd5411a844ce7c023964d3295eb7643b95af5 | [
"Apache-2.0"
] | 2 | 2018-04-26T12:09:32.000Z | 2018-04-27T06:36:49.000Z | nipype/interfaces/diffusion_toolkit/tests/test_auto_SplineFilter.py | PAmcconnell/nipype | 39fbd5411a844ce7c023964d3295eb7643b95af5 | [
"Apache-2.0"
] | 1 | 2019-11-14T14:16:57.000Z | 2019-11-14T14:16:57.000Z | # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from ..postproc import SplineFilter
def test_SplineFilter_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
output_file=dict(
argstr='%s',
... | 28.595238 | 68 | 0.562864 |
ef4e61c466563650531f91cdc6d3e36843421594 | 20,189 | py | Python | test/ibm/test_ibm_jobmanager.py | LucyXing/qiskit-ibm | eddb59519e7f501a619a4bfbf2a8112a2057f848 | [
"Apache-2.0"
] | null | null | null | test/ibm/test_ibm_jobmanager.py | LucyXing/qiskit-ibm | eddb59519e7f501a619a4bfbf2a8112a2057f848 | [
"Apache-2.0"
] | null | null | null | test/ibm/test_ibm_jobmanager.py | LucyXing/qiskit-ibm | eddb59519e7f501a619a4bfbf2a8112a2057f848 | [
"Apache-2.0"
] | null | null | null | # This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... | 42.955319 | 96 | 0.616029 |
70dc0abc23d5e80ea44487b8c36cf755d15c0795 | 39,084 | py | Python | Packs/TrustwaveSEG/Integrations/TrustwaveSEG/TrustwaveSEG.py | mazmat-panw/content | 024a65c1dea2548e2637a9cbbe54966e9e34a722 | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/TrustwaveSEG/Integrations/TrustwaveSEG/TrustwaveSEG.py | mazmat-panw/content | 024a65c1dea2548e2637a9cbbe54966e9e34a722 | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/TrustwaveSEG/Integrations/TrustwaveSEG/TrustwaveSEG.py | henry-sue-pa/content | 043c6badfb4f9c80673cad9242fdea72efe301f7 | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
import hashlib
import time
from datetime import datetime
import dateparser
import requests
import urllib3
# Disable insecure warnings
urllib3.disable_warnings()
DATE_FORMAT = '%d/%m/%Y, %H:%M:%S'
class Client(BaseC... | 40.797495 | 113 | 0.578498 |
a575e717b622807eadb136fccfa522891cd67dd1 | 144 | py | Python | codigo/Live30/_chainmap.py | cassiasamp/live-de-python | 00b5e51793097544ba9b75c97a0d30e63970bf45 | [
"MIT"
] | 572 | 2018-04-03T03:17:08.000Z | 2022-03-31T19:05:32.000Z | codigo/Live30/_chainmap.py | cassiasamp/live-de-python | 00b5e51793097544ba9b75c97a0d30e63970bf45 | [
"MIT"
] | 176 | 2018-05-18T15:56:16.000Z | 2022-03-28T20:39:07.000Z | codigo/Live30/_chainmap.py | cassiasamp/live-de-python | 00b5e51793097544ba9b75c97a0d30e63970bf45 | [
"MIT"
] | 140 | 2018-04-18T13:59:11.000Z | 2022-03-29T00:43:49.000Z | from collections import ChainMap
# problema: Unir dois dicionário
a = {1: 'a', 2: 'b', 3: 'c'}
b = {2: 'x', 3: 'z', 4: 'w'}
c = ChainMap(a, b)
| 20.571429 | 32 | 0.555556 |
c1666dd3c7490494522ab4c33080f262d9b0ce02 | 2,464 | py | Python | aphla/contrib/rampgenerator/loaders/fullramploader.py | NSLS-II/aphla | ceb5410dc836a8fb16321b6dc5e10d442be765c5 | [
"BSD-3-Clause"
] | null | null | null | aphla/contrib/rampgenerator/loaders/fullramploader.py | NSLS-II/aphla | ceb5410dc836a8fb16321b6dc5e10d442be765c5 | [
"BSD-3-Clause"
] | 1 | 2020-02-17T18:56:18.000Z | 2020-02-20T17:06:20.000Z | aphla/contrib/rampgenerator/loaders/fullramploader.py | NSLS-II/aphla | ceb5410dc836a8fb16321b6dc5e10d442be765c5 | [
"BSD-3-Clause"
] | 1 | 2021-03-08T16:07:11.000Z | 2021-03-08T16:07:11.000Z | from __future__ import print_function, division, absolute_import
from ramploader import RampLoader
from ..images.fullrampimage import FullRampImage
from ..core.defaults import MAX_TIME_SLICES
# catools
try:
from cothread.catools import caput, caget, connect
_NO_CATOOLS_ = False
except ImportError:
if __d... | 32.853333 | 117 | 0.64651 |
0f69fad2ea4197985fb9463e3d5a6036bf5359be | 1,919 | py | Python | built-in/TensorFlow/Research/reinforcement-learning/ModelZoo_PPO_TensorFlow/rl/xt/algorithm/qmix/transforms.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | null | null | null | built-in/TensorFlow/Research/reinforcement-learning/ModelZoo_PPO_TensorFlow/rl/xt/algorithm/qmix/transforms.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | 3 | 2021-03-31T20:15:40.000Z | 2022-02-09T23:50:46.000Z | built-in/TensorFlow/Research/reinforcement-learning/ModelZoo_QMIX_TensorFlow/xt/algorithm/qmix/transforms.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | null | null | null | """transform utils for qmix algorithm."""
import numpy as np
import tensorflow as tf
class Transform:
"""transform base class"""
def transform(self, tensor):
raise NotImplementedError
def infer_output_info(self, vshape_in, dtype_in):
raise NotImplementedError
class OneHotTf(Transform):... | 24.922078 | 67 | 0.602918 |
b97932e5a339c78c4e1129f1f5546a5f5b1e2dd0 | 21,633 | py | Python | lib/googlecloudsdk/third_party/apis/dataproc/v1/dataproc_v1_client.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/third_party/apis/dataproc/v1/dataproc_v1_client.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/third_party/apis/dataproc/v1/dataproc_v1_client.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | 1 | 2020-07-24T20:13:29.000Z | 2020-07-24T20:13:29.000Z | """Generated client library for dataproc version v1."""
# NOTE: This file is autogenerated and should not be edited by hand.
from apitools.base.py import base_api
from googlecloudsdk.third_party.apis.dataproc.v1 import dataproc_v1_messages as messages
class DataprocV1(base_api.BaseApiClient):
"""Generated client li... | 42.251953 | 605 | 0.697499 |
a58d576260aca31bb3e607d45bf80334fca1ecf7 | 9,929 | py | Python | supervisor/medusa/rpc_server.py | LexMachinaInc/supervisor | 65221682eb2590b2de504586f5736d55327e81d6 | [
"ZPL-2.1"
] | 2 | 2017-09-17T21:24:44.000Z | 2019-08-26T03:02:43.000Z | supervisor/medusa/rpc_server.py | LexMachinaInc/supervisor | 65221682eb2590b2de504586f5736d55327e81d6 | [
"ZPL-2.1"
] | null | null | null | supervisor/medusa/rpc_server.py | LexMachinaInc/supervisor | 65221682eb2590b2de504586f5736d55327e81d6 | [
"ZPL-2.1"
] | 3 | 2021-02-23T08:36:03.000Z | 2021-02-23T08:36:54.000Z | # -*- Mode: Python -*-
# Copyright 1999, 2000 by eGroups, Inc.
#
# All Rights Reserved
#
# Permission to use, copy, modify, and distribute this software and
# its documentation for any purpose and without fee is hereby
# granted, provided that the above copyright notice appear in all
# copies a... | 30.739938 | 86 | 0.538926 |
71179deb5c3fff6c175ad3bb98c694140a45798c | 32,854 | py | Python | tech_project/lib/python2.7/site-packages/cms/tests/test_rendering.py | priyamshah112/Project-Descripton-Blog | 8e01016c6be79776c4f5ca75563fa3daa839e39e | [
"MIT"
] | 5 | 2015-03-08T08:46:58.000Z | 2021-11-16T12:34:15.000Z | cms/tests/test_rendering.py | thisisalamin/django-cms | eeb1e4712b3866e243daf800c142e2199e4be9df | [
"BSD-3-Clause"
] | 102 | 2020-08-11T23:57:18.000Z | 2022-03-12T00:46:00.000Z | cms/tests/test_rendering.py | thisisalamin/django-cms | eeb1e4712b3866e243daf800c142e2199e4be9df | [
"BSD-3-Clause"
] | 4 | 2019-01-26T09:58:37.000Z | 2019-06-24T08:12:43.000Z | # -*- coding: utf-8 -*-
from django.core.cache import cache
from django.test.utils import override_settings
from sekizai.context import SekizaiContext
from cms import plugin_rendering
from cms.api import create_page, add_plugin
from cms.cache.placeholder import get_placeholder_cache
from cms.models import Page, Place... | 44.638587 | 127 | 0.623486 |
f23349e20ff55bedb9031bdc1a6293e721ee8054 | 2,657 | py | Python | sdk/keyvault/azure-keyvault-certificates/samples/contacts.py | lmcarreiro/azure-sdk-for-python | 0bde943383725320eaaa1408fa6264fb0cd0febf | [
"MIT"
] | null | null | null | sdk/keyvault/azure-keyvault-certificates/samples/contacts.py | lmcarreiro/azure-sdk-for-python | 0bde943383725320eaaa1408fa6264fb0cd0febf | [
"MIT"
] | null | null | null | sdk/keyvault/azure-keyvault-certificates/samples/contacts.py | lmcarreiro/azure-sdk-for-python | 0bde943383725320eaaa1408fa6264fb0cd0febf | [
"MIT"
] | null | null | null | # ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import os
from azure.identity import DefaultAzureCredential
from azure.keyvault.certificates import CertificateClient, CertificateContact
from azure.core.exceptions impo... | 43.557377 | 125 | 0.646218 |
1f50cbc7f0b43bfd620b67ecee1bee66c3613b49 | 4,951 | py | Python | src/data_processing/mask_rcnn_segmentation.py | claudius-kienle/self-supervised-depth-denoising | 4dffb30e8ef5022ef665825d26f45f67bf712cfd | [
"MIT"
] | 2 | 2021-12-02T15:06:28.000Z | 2021-12-03T09:48:32.000Z | src/data_processing/mask_rcnn_segmentation.py | claudius-kienle/self-supervised-depth-denoising | 4dffb30e8ef5022ef665825d26f45f67bf712cfd | [
"MIT"
] | 23 | 2022-02-24T09:17:03.000Z | 2022-03-21T16:57:58.000Z | src/data_processing/mask_rcnn_segmentation.py | alr-internship/self-supervised-depth-denoising | 4dffb30e8ef5022ef665825d26f45f67bf712cfd | [
"MIT"
] | null | null | null | from argparse import ArgumentParser
from ctypes import resize
import os
import cv2
import numpy as np
from tqdm import tqdm
os.environ["KERAS_BACKEND"] = "tensorflow"
import sys
ROOT_DIR = os.path.abspath(__file__ + "/../../../")
SRC_DIR = os.path.join(ROOT_DIR, "src")
sys.path.append(SRC_DIR)
from dataset.dataset_... | 42.316239 | 122 | 0.683498 |
9b33de0fdca2d92ac9bb6786c0a79d6e126f7f26 | 2,824 | py | Python | rpg/generator.py | happy-mammal/password-zilla | 9cf39803fbe1107a97e7324c6c1ecfeb52c66d40 | [
"MIT"
] | null | null | null | rpg/generator.py | happy-mammal/password-zilla | 9cf39803fbe1107a97e7324c6c1ecfeb52c66d40 | [
"MIT"
] | null | null | null | rpg/generator.py | happy-mammal/password-zilla | 9cf39803fbe1107a97e7324c6c1ecfeb52c66d40 | [
"MIT"
] | null | null | null | import random
class RandomPasswordGenerator:
res = []
length = 0
isUnique = False
def definedGeneration(self,strength):
picks=[]
uniques=set()
password=""
if(self.isUnique):
while(len(uniques)!=self.length):
uniques.add... | 33.619048 | 98 | 0.581445 |
20fe393fe5e6792c2c1993f847c7d64ed5d3cd64 | 760 | py | Python | h/assets.py | pombredanne/h | 9c4c2dc0d53ed5bed5183936c24b4c27b23070b4 | [
"BSD-2-Clause"
] | 2,103 | 2015-01-07T12:47:49.000Z | 2022-03-29T02:38:25.000Z | h/assets.py | pombredanne/h | 9c4c2dc0d53ed5bed5183936c24b4c27b23070b4 | [
"BSD-2-Clause"
] | 4,322 | 2015-01-04T17:18:01.000Z | 2022-03-31T17:06:02.000Z | h/assets.py | admariner/h | 25ef1b8d94889df86ace5a084f1aa0effd9f4e25 | [
"BSD-2-Clause"
] | 389 | 2015-01-24T04:10:02.000Z | 2022-03-28T08:00:16.000Z | """View for serving static assets under `/assets`."""
import importlib_resources
from h_assets import Environment, assets_view
from pyramid.settings import asbool
def includeme(config):
auto_reload = asbool(config.registry.settings.get("h.reload_assets", False))
h_files = importlib_resources.files("h")
... | 31.666667 | 80 | 0.719737 |
62df64e9b20c4a983d786c413aca8baa9c5d0781 | 4,702 | py | Python | pnf-wavenet/audio.py | ishine/pnf-sampling | d92a6b82c2abd8ce26aae6a470cd78f686c7282a | [
"MIT"
] | 22 | 2021-05-19T05:11:00.000Z | 2022-02-07T00:15:20.000Z | pnf-wavenet/audio.py | ishine/pnf-sampling | d92a6b82c2abd8ce26aae6a470cd78f686c7282a | [
"MIT"
] | 2 | 2021-05-28T03:38:00.000Z | 2022-03-01T21:51:06.000Z | pnf-wavenet/audio.py | ishine/pnf-sampling | d92a6b82c2abd8ce26aae6a470cd78f686c7282a | [
"MIT"
] | 4 | 2021-05-19T23:19:51.000Z | 2021-07-19T12:59:18.000Z | import librosa
import librosa.filters
import numpy as np
from hparams import hparams
from scipy.io import wavfile
from nnmnkwii import preprocessing as P
def low_cut_filter(x, fs, cutoff=70):
"""APPLY LOW CUT FILTER.
https://github.com/kan-bayashi/PytorchWaveNetVocoder
Args:
x (ndarray): Wavefor... | 27.022989 | 83 | 0.661208 |
088fde1b379c4266a9d909a1a0a87161fb7f2d03 | 880 | py | Python | client/app.py | wezzyofficial/discord_soft | 1fdbeffa2b4511a95e147fd7bac09a83d1546a7b | [
"MIT"
] | null | null | null | client/app.py | wezzyofficial/discord_soft | 1fdbeffa2b4511a95e147fd7bac09a83d1546a7b | [
"MIT"
] | null | null | null | client/app.py | wezzyofficial/discord_soft | 1fdbeffa2b4511a95e147fd7bac09a83d1546a7b | [
"MIT"
] | null | null | null | from engine import console
def menu():
console.log(text='(Client) доступные варианты работы:')
console.log('(Client) 1. Синхронизировать аккаунты')
console.log('(Client) 2. Синхронизировать прокси')
console.log('(Client) 3. Синхронизировать логи')
console.log('(Client) 4. Наблюдать за процессом')... | 30.344828 | 98 | 0.638636 |
a81b5ae2f40c4c4f8389b051630a1df2722439e9 | 2,516 | py | Python | python/seldon_deploy_sdk/models/label_selector_operator.py | adriangonz/seldon-deploy-sdk | c5504838630a87053387cec57ec2e1e7251971e2 | [
"Apache-2.0"
] | 6 | 2021-02-18T14:37:54.000Z | 2022-01-13T13:27:43.000Z | python/seldon_deploy_sdk/models/label_selector_operator.py | adriangonz/seldon-deploy-sdk | c5504838630a87053387cec57ec2e1e7251971e2 | [
"Apache-2.0"
] | 14 | 2021-01-04T16:32:03.000Z | 2021-12-13T17:53:59.000Z | python/seldon_deploy_sdk/models/label_selector_operator.py | adriangonz/seldon-deploy-sdk | c5504838630a87053387cec57ec2e1e7251971e2 | [
"Apache-2.0"
] | 7 | 2021-03-17T09:05:55.000Z | 2022-01-05T10:39:56.000Z | # coding: utf-8
"""
Seldon Deploy API
API to interact and manage the lifecycle of your machine learning models deployed through Seldon Deploy. # noqa: E501
OpenAPI spec version: v1alpha1
Contact: hello@seldon.io
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint... | 28.590909 | 122 | 0.56399 |
a4bd5d39f8cdb883f40c3c6561f755f96d86b745 | 72 | py | Python | Math/411/411-148.py | anaconda121/School | eefc30a780171082dae00591e2a7bdd8ad1a6d68 | [
"MIT"
] | 1 | 2022-03-10T02:18:19.000Z | 2022-03-10T02:18:19.000Z | Math/411/411-148.py | anaconda121/School | eefc30a780171082dae00591e2a7bdd8ad1a6d68 | [
"MIT"
] | null | null | null | Math/411/411-148.py | anaconda121/School | eefc30a780171082dae00591e2a7bdd8ad1a6d68 | [
"MIT"
] | null | null | null | ans = 1
m = -1
for i in range((99999)):
ans = 1 + m * ans
print(ans)
| 10.285714 | 24 | 0.527778 |
6071570371249e2e059c7d5096990d9ff06f43fc | 935 | py | Python | test/vanilla/Expected/AcceptanceTests/BodyComplex/bodycomplex/models/dog.py | iscai-msft/autorest.python | a9f38dd762fbc046ce6197bfabea2f56045d2957 | [
"MIT"
] | null | null | null | test/vanilla/Expected/AcceptanceTests/BodyComplex/bodycomplex/models/dog.py | iscai-msft/autorest.python | a9f38dd762fbc046ce6197bfabea2f56045d2957 | [
"MIT"
] | null | null | null | test/vanilla/Expected/AcceptanceTests/BodyComplex/bodycomplex/models/dog.py | iscai-msft/autorest.python | a9f38dd762fbc046ce6197bfabea2f56045d2957 | [
"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 ... | 26.714286 | 76 | 0.500535 |
6dbd9a33d03d84313c2d5714dfb9e6cfb31ab9e7 | 9,492 | py | Python | common/net_builder.py | scotty1373/Torcs_PPO | 864e30e7d02bef852907cd2abb9bba7a0630b53a | [
"MIT"
] | 3 | 2022-01-07T09:04:42.000Z | 2022-02-06T16:32:56.000Z | common/net_builder.py | scotty1373/Torcs_PPO | 864e30e7d02bef852907cd2abb9bba7a0630b53a | [
"MIT"
] | null | null | null | common/net_builder.py | scotty1373/Torcs_PPO | 864e30e7d02bef852907cd2abb9bba7a0630b53a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import time
import torch
from torch import nn
from torch.distributions import Normal
from itertools import chain
class Common(nn.Module):
def __init__(self, in_channel):
super(Common, self).__init__()
self.Conv1 = nn.Conv2d(in_channels=in_channel, out_channels=32,
... | 42.950226 | 104 | 0.599768 |
4b5c5068757bebf829822632199a27ce5ba05975 | 2,152 | py | Python | metadata-ingestion/src/datahub/ingestion/api/source.py | buggythepirate/datahub | cd8acd23cf0a7aeae3d34c7d92a140eb7b466ced | [
"Apache-2.0"
] | null | null | null | metadata-ingestion/src/datahub/ingestion/api/source.py | buggythepirate/datahub | cd8acd23cf0a7aeae3d34c7d92a140eb7b466ced | [
"Apache-2.0"
] | 1 | 2022-02-02T17:26:16.000Z | 2022-02-02T17:26:16.000Z | metadata-ingestion/src/datahub/ingestion/api/source.py | liftoffio/datahub | ff163059587a137a22fa0c655f568a40eda44236 | [
"Apache-2.0"
] | 1 | 2022-01-27T04:44:22.000Z | 2022-01-27T04:44:22.000Z | import platform
import sys
from abc import ABCMeta, abstractmethod
from dataclasses import dataclass, field
from typing import Dict, Generic, Iterable, List, TypeVar
import datahub
from datahub.ingestion.api.closeable import Closeable
from datahub.ingestion.api.common import PipelineContext, RecordEnvelope, WorkUnit
f... | 30.309859 | 85 | 0.707249 |
41f00d2cd3da853f3a0785cedf7e76b360dc2538 | 18,117 | py | Python | PyAnalysisTools/PlottingUtils/EventComparisonPlotter.py | morgenst/PyAnalysisTools | f3b1f89870e7bbae1549c228a56d2c36bbba7af3 | [
"MIT"
] | null | null | null | PyAnalysisTools/PlottingUtils/EventComparisonPlotter.py | morgenst/PyAnalysisTools | f3b1f89870e7bbae1549c228a56d2c36bbba7af3 | [
"MIT"
] | null | null | null | PyAnalysisTools/PlottingUtils/EventComparisonPlotter.py | morgenst/PyAnalysisTools | f3b1f89870e7bbae1549c228a56d2c36bbba7af3 | [
"MIT"
] | null | null | null | from __future__ import print_function
from __future__ import division
from builtins import next
from builtins import str
from past.utils import old_div
from builtins import object
import collections
from copy import copy
import pandas as pd
import PyAnalysisTools.PlottingUtils.Formatting as FM
import PyAnalysisTools... | 47.302872 | 117 | 0.607496 |
b45caab8660f170c5933c584b2cb35d9b91be6c0 | 172,183 | py | Python | sympy/polys/polytools.py | pbrady/sympy | 7163137e22fbefbb645147a15147b26dad220d49 | [
"BSD-3-Clause"
] | null | null | null | sympy/polys/polytools.py | pbrady/sympy | 7163137e22fbefbb645147a15147b26dad220d49 | [
"BSD-3-Clause"
] | null | null | null | sympy/polys/polytools.py | pbrady/sympy | 7163137e22fbefbb645147a15147b26dad220d49 | [
"BSD-3-Clause"
] | null | null | null | """User-friendly public interface to polynomial functions. """
from __future__ import print_function, division
from sympy.core import (
S, Basic, Expr, I, Integer, Add, Mul, Dummy, Tuple
)
from sympy.core.mul import _keep_coeff
from sympy.core.symbol import Symbol
from sympy.core.basic import preorder_traversal
... | 25.302425 | 104 | 0.505288 |
a77bc30e54ea73edb1570b928cc30163da630de7 | 237 | py | Python | deploy/virenv/lib/python2.7/site-packages/haystack/allocators/__init__.py | wangvictor2012/liuwei | 0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1 | [
"BSD-3-Clause"
] | null | null | null | deploy/virenv/lib/python2.7/site-packages/haystack/allocators/__init__.py | wangvictor2012/liuwei | 0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1 | [
"BSD-3-Clause"
] | null | null | null | deploy/virenv/lib/python2.7/site-packages/haystack/allocators/__init__.py | wangvictor2012/liuwei | 0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2011 Loic Jaquemet loic.jaquemet+python@gmail.com
#
__author__ = "Loic Jaquemet loic.jaquemet+python@gmail.com"
__doc__ = """
Structures used in haystack
"""
all = [
]
| 15.8 | 65 | 0.670886 |
3d3c0c69e7cd36c838a830a558e7d0a0c3c84fd1 | 878 | py | Python | userbot/core/vcbot/ytdl.py | Cloder07/Gojo-userbot | 38b687b129f81c66e27c537e6501987143a76760 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2022-03-27T17:56:08.000Z | 2022-03-27T17:56:08.000Z | userbot/core/vcbot/ytdl.py | Cloder07/Gojo-userbot | 38b687b129f81c66e27c537e6501987143a76760 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | userbot/core/vcbot/ytdl.py | Cloder07/Gojo-userbot | 38b687b129f81c66e27c537e6501987143a76760 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2022-03-25T08:16:40.000Z | 2022-03-25T08:16:40.000Z | # Copyright (c) 2022 Man-Userbot
# Credits: @mrismanaziz
# This file is a part of < https://github.com/mrismanaziz/Man-Userbot/ >
#
from youtubesearchpython import VideosSearch
from userbot import LOGS
from userbot.utils import bash
def ytsearch(query: str):
try:
search = VideosSearch(query, limit=1).r... | 25.823529 | 72 | 0.611617 |
0c7528cdd909663473930f0a54e21bcf6edbe4ee | 1,983 | py | Python | rpython/jit/backend/arm/detect.py | jptomo/pypy-lang-scheme | 55edb2cec69d78f86793282a4566fcbc1ef9fcac | [
"MIT"
] | 34 | 2015-07-09T04:53:27.000Z | 2021-07-19T05:22:27.000Z | rpython/jit/backend/arm/detect.py | jptomo/pypy-lang-scheme | 55edb2cec69d78f86793282a4566fcbc1ef9fcac | [
"MIT"
] | 6 | 2015-05-30T17:20:45.000Z | 2017-06-12T14:29:23.000Z | rpython/jit/backend/arm/detect.py | jptomo/pypy-lang-scheme | 55edb2cec69d78f86793282a4566fcbc1ef9fcac | [
"MIT"
] | 11 | 2015-09-07T14:26:08.000Z | 2020-04-10T07:20:41.000Z | import os
from rpython.translator.tool.cbuild import ExternalCompilationInfo
from rpython.rtyper.tool import rffi_platform
from rpython.rlib.clibffi import FFI_DEFAULT_ABI, FFI_SYSV, FFI_VFP
from rpython.translator.platform import CompilationError
from rpython.rlib.debug import debug_print, debug_start, debug_stop
ec... | 30.045455 | 73 | 0.644982 |
7e0abb190372ed705317a98ec94e5a0e6f271a19 | 994 | py | Python | saleor/core/permissions.py | nobism/saleor | a199bee5ef8cb2ecd1d7fd4bcc708f3b4903aa2d | [
"BSD-3-Clause"
] | 3 | 2018-06-14T22:52:38.000Z | 2019-01-24T03:48:46.000Z | saleor/core/permissions.py | nobism/saleor | a199bee5ef8cb2ecd1d7fd4bcc708f3b4903aa2d | [
"BSD-3-Clause"
] | null | null | null | saleor/core/permissions.py | nobism/saleor | a199bee5ef8cb2ecd1d7fd4bcc708f3b4903aa2d | [
"BSD-3-Clause"
] | 1 | 2018-06-29T10:54:09.000Z | 2018-06-29T10:54:09.000Z | from django.contrib.auth.models import Permission
MODELS_PERMISSIONS = [
'menu.view_menu',
'menu.edit_menu',
'order.view_order',
'order.edit_order',
'page.view_page',
'page.edit_page',
'product.view_category',
'product.edit_category',
'product.view_product',
'product.edit_produc... | 26.157895 | 79 | 0.681087 |
d07339f3fec36acd7c2971bf286533a4277a3345 | 15,257 | py | Python | tests/test_scheduler.py | FakeEmperor/rq | c481792c5c7816061ec07170fc9b47e2d638b8ce | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | tests/test_scheduler.py | FakeEmperor/rq | c481792c5c7816061ec07170fc9b47e2d638b8ce | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | tests/test_scheduler.py | FakeEmperor/rq | c481792c5c7816061ec07170fc9b47e2d638b8ce | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | import os
from datetime import datetime, timedelta, timezone
from multiprocessing import Process
import mock
from rq import Queue
from rq.compat import PY2
from rq.exceptions import NoSuchJobError
from rq.job import Job, Retry
from rq.registry import FinishedJobRegistry, ScheduledJobRegistry
from rq.scheduler import R... | 43.09887 | 102 | 0.669004 |
4896bffc94a0cb963182f10726d0af9dbaa8d46e | 926 | py | Python | src/apps/surveys20/migrations/0004_product_new_type.py | COAStatistics/alss | e1b14cb13de7b8455fa6835587cb1ceb16e4595c | [
"MIT"
] | null | null | null | src/apps/surveys20/migrations/0004_product_new_type.py | COAStatistics/alss | e1b14cb13de7b8455fa6835587cb1ceb16e4595c | [
"MIT"
] | 81 | 2018-09-04T13:16:02.000Z | 2022-03-11T23:20:40.000Z | src/apps/surveys20/migrations/0004_product_new_type.py | COAStatistics/alss | e1b14cb13de7b8455fa6835587cb1ceb16e4595c | [
"MIT"
] | 4 | 2018-08-21T22:17:59.000Z | 2019-03-15T01:14:29.000Z | # Generated by Django 2.2.14 on 2020-08-15 09:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('surveys20', '0003_auto_20200527_1035'),
]
operations = [
migrations.AddField(
model_name='product',
name='new_type'... | 31.931034 | 128 | 0.579914 |
6939e73bffbe55bb96b1cfbcff74f3fbc7388db3 | 4,533 | py | Python | Phoenix/features/google_calendar.py | DevangML/Phoenix-The-Virtual-Assistant | 3fa6949216c49f88717b7c5eaedaf84441029347 | [
"BSD-3-Clause"
] | null | null | null | Phoenix/features/google_calendar.py | DevangML/Phoenix-The-Virtual-Assistant | 3fa6949216c49f88717b7c5eaedaf84441029347 | [
"BSD-3-Clause"
] | null | null | null | Phoenix/features/google_calendar.py | DevangML/Phoenix-The-Virtual-Assistant | 3fa6949216c49f88717b7c5eaedaf84441029347 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function
import datetime, pytz, pyttsx3, pickle, os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
MONTHS = ["january", "february", "march", "april", "may", "june", "july", "august",... | 34.082707 | 119 | 0.585484 |
d834745a5e80763763a617dc85502a1827cb7611 | 401 | py | Python | src/presquel/__init__.py | groboclown/presquel | 83a099729678a1d0a5e46ac55f07c772a5410e34 | [
"CC0-1.0"
] | null | null | null | src/presquel/__init__.py | groboclown/presquel | 83a099729678a1d0a5e46ac55f07c772a5410e34 | [
"CC0-1.0"
] | null | null | null | src/presquel/__init__.py | groboclown/presquel | 83a099729678a1d0a5e46ac55f07c772a5410e34 | [
"CC0-1.0"
] | null | null | null | __author__ = 'Groboclown'
import sys
req_version = (3, 1)
cur_version = sys.version_info
assert cur_version >= req_version, "You must run this with Python 3"
from .parser import load_package
from .schemagen import (get_generator, BranchUpgradeAnalysis)
from . import (model, codegen, schemagen, parser... | 22.277778 | 69 | 0.710723 |
6bc424e324341ebd1f017c6b8bdd1f31db6c3b02 | 2,954 | py | Python | code/tests/test_S4_SR_class.py | claudiavr/AIS | 5a9b9db8377efbfba3e8bfc8bf126845ef6e9aea | [
"MIT"
] | null | null | null | code/tests/test_S4_SR_class.py | claudiavr/AIS | 5a9b9db8377efbfba3e8bfc8bf126845ef6e9aea | [
"MIT"
] | null | null | null | code/tests/test_S4_SR_class.py | claudiavr/AIS | 5a9b9db8377efbfba3e8bfc8bf126845ef6e9aea | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""SPARC4 spectrum response tests.
This script tests the operation of the SPARC4 spectrum response classes.
"""
from S4_SR import (Abstract_SPARC4_Spectral_Response,
Concrete_SPARC4_Spectral_Response_1,
Concrete_SPARC4_Spectral_Response_2,
... | 23.259843 | 72 | 0.587678 |
8e983814c4d4f18baea340c3739c7eea9dfc3de3 | 3,507 | py | Python | src/main/python/daggit/core/nodes/keras.py | aleenaraj/sunbird-ml-workbench | e971357c8030200cfa645e0cc31ffcfc3916d9d9 | [
"MIT"
] | 14 | 2019-06-07T11:32:49.000Z | 2021-11-14T18:34:31.000Z | src/main/python/daggit/core/nodes/keras.py | aleenaraj/sunbird-ml-workbench | e971357c8030200cfa645e0cc31ffcfc3916d9d9 | [
"MIT"
] | 16 | 2019-06-28T12:14:29.000Z | 2022-03-12T00:17:08.000Z | src/main/python/daggit/core/nodes/keras.py | aleenaraj/sunbird-ml-workbench | e971357c8030200cfa645e0cc31ffcfc3916d9d9 | [
"MIT"
] | 47 | 2019-03-06T06:54:41.000Z | 2021-05-31T16:59:45.000Z | import importlib
import pandas as pd
from daggit.core.base.factory import BaseOperator
from daggit.core.io.io import Pandas_Dataframe, Pickle_Obj, File_Txt
from daggit.core.nodes.registry import get_node_callable
def baseline_model_svm():
from keras.models import Sequential
from keras.layers import Dense, Dro... | 35.07 | 74 | 0.646421 |
975413966d4c0b83d55d34ec10cd43aceb616a78 | 640 | py | Python | prototype/anissa.py | thecsw/sandissa-dev | 85e37c90127a0b2e0834f98de066b0d183c3c3cb | [
"MIT"
] | 1 | 2021-05-24T18:43:42.000Z | 2021-05-24T18:43:42.000Z | prototype/anissa.py | thecsw/sandissa-dev | 85e37c90127a0b2e0834f98de066b0d183c3c3cb | [
"MIT"
] | null | null | null | prototype/anissa.py | thecsw/sandissa-dev | 85e37c90127a0b2e0834f98de066b0d183c3c3cb | [
"MIT"
] | 1 | 2021-07-13T20:19:24.000Z | 2021-07-13T20:19:24.000Z | from flask import Flask, request, current_app
import RPi.GPIO as GPIO
LED_OUT = 11
app = Flask(__name__)
@app.route('/', methods = ['GET'])
def index():
return current_app.send_static_file("index.html")
@app.route('/turn_on', methods = ['POST'])
def turnOn():
GPIO.output(LED_OUT, GPIO.HIGH)
return "succ... | 19.393939 | 53 | 0.642188 |
1bdc746f54dc18052e6a32e1b77a76ae6ffb9521 | 5,321 | py | Python | midca/examples/cogsci_demo_mortar_construction.py | COLAB2/midca | 18d6b13e3d6b0d980cd3453196e82fad7302e79b | [
"MIT"
] | 12 | 2018-01-23T01:31:33.000Z | 2022-02-03T04:47:10.000Z | midca/examples/cogsci_demo_mortar_construction.py | COLAB2/midca | 18d6b13e3d6b0d980cd3453196e82fad7302e79b | [
"MIT"
] | 32 | 2017-11-02T20:58:03.000Z | 2021-04-15T18:59:27.000Z | midca/examples/cogsci_demo_mortar_construction.py | COLAB2/midca | 18d6b13e3d6b0d980cd3453196e82fad7302e79b | [
"MIT"
] | 5 | 2017-12-01T17:28:01.000Z | 2020-03-18T14:43:32.000Z | #!/usr/bin/env python
import midca
from midca.worldsim import domainread, stateread
from midca.modules.perceive import PerfectObserver
from midca.modules.plan import PyHopPlanner
from midca.modules.intend import SimpleIntend_construction
from midca.modules.act import SimpleAct
from midca.modules.interpret import TFFire... | 43.260163 | 337 | 0.77617 |
5f3903cfa65ddc4297b0f433657826a19fab226c | 3,482 | py | Python | neutron/plugins/ml2/drivers/openvswitch/agent/ovs_agent_extension_api.py | ISCAS-VDI/neutron-base | 687f03d7131839ae8bc324d5823194d1245bb050 | [
"Apache-2.0"
] | null | null | null | neutron/plugins/ml2/drivers/openvswitch/agent/ovs_agent_extension_api.py | ISCAS-VDI/neutron-base | 687f03d7131839ae8bc324d5823194d1245bb050 | [
"Apache-2.0"
] | 3 | 2015-02-27T00:48:55.000Z | 2015-04-21T05:29:37.000Z | neutron/plugins/ml2/drivers/openvswitch/agent/ovs_agent_extension_api.py | ISCAS-VDI/neutron-base | 687f03d7131839ae8bc324d5823194d1245bb050 | [
"Apache-2.0"
] | 3 | 2015-02-26T00:55:17.000Z | 2020-03-01T17:05:40.000Z | # Copyright 2016 Intel Corporation.
# 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 requir... | 34.475248 | 78 | 0.674325 |
2c94e5757a1d13a655e913b83d211006bb756c3f | 4,606 | py | Python | zenml/components/tokenizer/executor.py | ORG-MARS/zenml | 8ee9a9264397d4e24a34c906e34a443782b189d3 | [
"Apache-2.0"
] | 1 | 2021-08-13T03:07:53.000Z | 2021-08-13T03:07:53.000Z | zenml/components/tokenizer/executor.py | ORG-MARS/zenml | 8ee9a9264397d4e24a34c906e34a443782b189d3 | [
"Apache-2.0"
] | null | null | null | zenml/components/tokenizer/executor.py | ORG-MARS/zenml | 8ee9a9264397d4e24a34c906e34a443782b189d3 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) maiot GmbH 2021. 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... | 38.705882 | 76 | 0.65393 |
056769b3ffe60575ac3bb5ec1e6e550ff94956f2 | 520 | py | Python | digits_multiplication.py | lisprolog/python | 3d2acea2721873d57418b9158ed3bed6e160eb16 | [
"BSD-3-Clause"
] | null | null | null | digits_multiplication.py | lisprolog/python | 3d2acea2721873d57418b9158ed3bed6e160eb16 | [
"BSD-3-Clause"
] | null | null | null | digits_multiplication.py | lisprolog/python | 3d2acea2721873d57418b9158ed3bed6e160eb16 | [
"BSD-3-Clause"
] | null | null | null | # multiply digits of number
def checkio(number):
if (number < 1 or number > 10**6 ):
return "Error"
text = str(number);
text = text.split('0');
text = ''.join(text);
result = 1;
for ch in text:
result *= int(ch);
return result
#These "asserts" using only for s... | 20.8 | 80 | 0.594231 |
da471bdb5b6735f81db27d54424ab6a15bf5a127 | 1,662 | py | Python | src/src/urls.py | HershyKing/MealPlannerApp | d654ea71bb6dd79efb7a03d432b4a6af2bb06250 | [
"MIT"
] | 1 | 2018-02-19T00:46:39.000Z | 2018-02-19T00:46:39.000Z | src/src/urls.py | HershyKing/FreeRangeHuman | d654ea71bb6dd79efb7a03d432b4a6af2bb06250 | [
"MIT"
] | null | null | null | src/src/urls.py | HershyKing/FreeRangeHuman | d654ea71bb6dd79efb7a03d432b4a6af2bb06250 | [
"MIT"
] | null | null | null | """src URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-based ... | 40.536585 | 124 | 0.711191 |
7d49bf6a9ae0b377863a9cdcf786318d50f55723 | 4,155 | py | Python | rename_subs/rename_subs.py | Namdrib/rename-subs | 968212af29c24e91640cd566dfb2e3a01ea9cc45 | [
"MIT"
] | null | null | null | rename_subs/rename_subs.py | Namdrib/rename-subs | 968212af29c24e91640cd566dfb2e3a01ea9cc45 | [
"MIT"
] | null | null | null | rename_subs/rename_subs.py | Namdrib/rename-subs | 968212af29c24e91640cd566dfb2e3a01ea9cc45 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Created on 19 Feb. 2018
@author: Namdrib
"""
import argparse
import glob
import re
import subprocess
def filename_without_extension(filename):
return filename[:filename.rfind('.')]
def get_extension(filename):
return filename[filename.rfind('.'):]
# Given an input scene release... | 29.468085 | 138 | 0.60698 |
15ca172bf53f2e6c37bfab5620cefbfa6e1f856f | 896 | py | Python | scripts/addons/animation_nodes/nodes/geometry/point_list_normal.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2020-04-16T22:12:40.000Z | 2022-01-22T17:18:45.000Z | scripts/addons/animation_nodes/nodes/geometry/point_list_normal.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | null | null | null | scripts/addons/animation_nodes/nodes/geometry/point_list_normal.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2019-05-16T04:01:09.000Z | 2020-08-25T11:42:26.000Z | import bpy
from ... base_types import AnimationNode
class PointListNormalNode(bpy.types.Node, AnimationNode):
bl_idname = "an_PointListNormalNode"
bl_label = "Point List Normal"
bl_width_default = 160
errorHandlingType = "MESSAGE"
searchTags = ["Points Normal", "Calculate Normal"]
def create(s... | 33.185185 | 76 | 0.631696 |
fa52fddce85167880b97a8656528b8fbb4a2de79 | 606 | py | Python | neighbuor/migrations/0010_alter_location_user.py | Rubyroy12/neighbourinfo | 619e6e7b20c7f06310d55c3922d9372c0e2455f7 | [
"MIT"
] | null | null | null | neighbuor/migrations/0010_alter_location_user.py | Rubyroy12/neighbourinfo | 619e6e7b20c7f06310d55c3922d9372c0e2455f7 | [
"MIT"
] | null | null | null | neighbuor/migrations/0010_alter_location_user.py | Rubyroy12/neighbourinfo | 619e6e7b20c7f06310d55c3922d9372c0e2455f7 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.5 on 2021-07-25 17:19
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('neighbuor', '0009_auto_2... | 27.545455 | 135 | 0.683168 |
402f38e1ce8733d8c0504ed8489c983c2179c311 | 1,035 | py | Python | fm/migrations/0032_ingnore_event_rules.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 84 | 2017-10-22T11:01:39.000Z | 2022-02-27T03:43:48.000Z | fm/migrations/0032_ingnore_event_rules.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 22 | 2017-12-11T07:21:56.000Z | 2021-09-23T02:53:50.000Z | fm/migrations/0032_ingnore_event_rules.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 23 | 2017-12-06T06:59:52.000Z | 2022-02-24T00:02:25.000Z | # ----------------------------------------------------------------------
# ignore event rules
# ----------------------------------------------------------------------
# Copyright (C) 2007-2019 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# Third-par... | 35.689655 | 77 | 0.479227 |
e8179bf53261551bf3e0bb825d5ef6060a5c1f96 | 2,455 | py | Python | matplotcheck/tests/test_timeseries_module.py | earthlab/matPlotCheck | c1b6a3bf805b1b813b9bdf98752f2bf4baa9cdcf | [
"BSD-3-Clause"
] | 12 | 2019-03-01T15:07:10.000Z | 2022-03-04T08:23:26.000Z | matplotcheck/tests/test_timeseries_module.py | earthlab/matPlotCheck | c1b6a3bf805b1b813b9bdf98752f2bf4baa9cdcf | [
"BSD-3-Clause"
] | 382 | 2018-12-20T23:05:47.000Z | 2022-01-13T02:34:44.000Z | matplotcheck/tests/test_timeseries_module.py | earthlab/matPlotCheck | c1b6a3bf805b1b813b9bdf98752f2bf4baa9cdcf | [
"BSD-3-Clause"
] | 8 | 2019-01-23T23:10:51.000Z | 2021-11-03T16:17:51.000Z | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pytest
from matplotcheck.timeseries import TimeSeriesTester
@pytest.fixture
def pd_df_timeseries():
"""Create a pandas dataframe for testing, with timeseries in one column"""
return pd.DataFrame(
{
"time": pd.dat... | 32.302632 | 78 | 0.701833 |
16768390b371d34bd7c235fa0c83f2cacf5edc20 | 14,343 | py | Python | c7n/resources/iam.py | nyetsche/cloud-custodian | e4e3e538f1242a7f5516b557f91d269035141b06 | [
"Apache-2.0"
] | null | null | null | c7n/resources/iam.py | nyetsche/cloud-custodian | e4e3e538f1242a7f5516b557f91d269035141b06 | [
"Apache-2.0"
] | null | null | null | c7n/resources/iam.py | nyetsche/cloud-custodian | e4e3e538f1242a7f5516b557f91d269035141b06 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Capital One Services, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 32.159193 | 78 | 0.615213 |
0ad26a2274d9f9df369c6fd266f6ab7d9e74aead | 3,562 | py | Python | KNNClassifier.py | suhail-ansari/Machine-Learning-Algortihms | e116c28848a2cb2132a09fcfdc0301ae89ebcf8b | [
"MIT"
] | null | null | null | KNNClassifier.py | suhail-ansari/Machine-Learning-Algortihms | e116c28848a2cb2132a09fcfdc0301ae89ebcf8b | [
"MIT"
] | null | null | null | KNNClassifier.py | suhail-ansari/Machine-Learning-Algortihms | e116c28848a2cb2132a09fcfdc0301ae89ebcf8b | [
"MIT"
] | null | null | null | import sys
import csv
import math
import numpy as np
from collections import OrderedDict, Counter
class KNNClassifier(object):
def __init__(self):
pass
def train(self, data):
self.raw_data = data
self.attr_count = len(data[0]) - 2
self.total_samples = len(data)
... | 32.09009 | 156 | 0.56429 |
6b46ddc3687add27ea6ddf696ecad034ccdc1079 | 522 | py | Python | env/lib/python3.6/site-packages/django/utils/html_parser.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | 58 | 2018-10-03T19:41:36.000Z | 2022-03-14T21:24:43.000Z | env/lib/python3.6/site-packages/django/utils/html_parser.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | 67 | 2017-09-11T05:06:12.000Z | 2022-02-14T04:44:04.000Z | env/lib/python3.6/site-packages/django/utils/html_parser.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | 210 | 2017-09-01T00:10:08.000Z | 2022-03-19T18:05:12.000Z | import html.parser
try:
HTMLParseError = html.parser.HTMLParseError
except AttributeError:
# create a dummy class for Python 3.5+ where it's been removed
class HTMLParseError(Exception):
pass
class HTMLParser(html.parser.HTMLParser):
"""Explicitly set convert_charrefs to be False.
This s... | 29 | 90 | 0.731801 |
b2088c016190e16018000108d1db2fc2dee1cdfd | 16,266 | py | Python | edkrepo/commands/list_repos_command.py | iberkun/edk2-edkrepo | f925099497dea2584612c47e42a7fe75b4c64255 | [
"BSD-2-Clause-Patent"
] | 4 | 2021-04-18T22:04:59.000Z | 2022-03-31T03:59:17.000Z | edkrepo/commands/list_repos_command.py | iberkun/edk2-edkrepo | f925099497dea2584612c47e42a7fe75b4c64255 | [
"BSD-2-Clause-Patent"
] | 19 | 2021-04-06T21:07:29.000Z | 2022-03-25T17:17:25.000Z | edkrepo/commands/list_repos_command.py | iberkun/edk2-edkrepo | f925099497dea2584612c47e42a7fe75b4c64255 | [
"BSD-2-Clause-Patent"
] | 9 | 2021-03-16T23:13:09.000Z | 2021-11-20T09:19:38.000Z | #!/usr/bin/env python3
#
## @file
# list_repos_command.py
#
# Copyright (c) 2019 - 2020, Intel Corporation. All rights reserved.<BR>
# SPDX-License-Identifier: BSD-2-Clause-Patent
#
import collections
import os
#from git import Repo
from colorama import Fore, Style
# Our modules
from edkrepo.commands... | 52.302251 | 143 | 0.591356 |
54048879f7a5a699f19e2e604092047c7710c78a | 772 | py | Python | maru/pymorphy/tag.py | chomechome/maru | dae41e250a64a8b6f6ab9647fd60221d5ede8ab6 | [
"MIT"
] | 47 | 2018-09-25T05:17:13.000Z | 2022-03-31T09:27:15.000Z | maru/pymorphy/tag.py | ojomio/maru | 7a44be7f974c0962f3023f5d064a391d2b4f20b1 | [
"MIT"
] | 2 | 2019-11-26T08:48:54.000Z | 2020-09-10T10:00:39.000Z | maru/pymorphy/tag.py | ojomio/maru | 7a44be7f974c0962f3023f5d064a391d2b4f20b1 | [
"MIT"
] | 5 | 2019-01-05T17:36:23.000Z | 2021-06-29T08:55:24.000Z | import pymorphy2.analyzer
from maru.pymorphy.grammeme import (
get_animacy,
get_aspect,
get_case,
get_degree,
get_gender,
get_mood,
get_number,
get_part_of_speech,
get_person,
get_tense,
get_verbform,
get_voice,
)
from maru.tag import Tag
def get_tag(parse: pymorphy2.a... | 22.057143 | 52 | 0.645078 |
d0016ca11f68272e15c9f98bf5585d55fe9f2384 | 1,222 | py | Python | Handler/data_handler.py | H-BlackGom/StockDataCrawler-Python | 47b8a5685189f2f194a71ae5ed4d51a87c589a7d | [
"Apache-2.0"
] | null | null | null | Handler/data_handler.py | H-BlackGom/StockDataCrawler-Python | 47b8a5685189f2f194a71ae5ed4d51a87c589a7d | [
"Apache-2.0"
] | null | null | null | Handler/data_handler.py | H-BlackGom/StockDataCrawler-Python | 47b8a5685189f2f194a71ae5ed4d51a87c589a7d | [
"Apache-2.0"
] | null | null | null | import yaml
import types
import pandas as pd
from Handler.mongo_handler import MongoHandler
from Utils.utils import Log
yaml.warnings({'YAMLLoadWarning': False})
with open("config.yaml", "rt", encoding="utf-8") as stream:
CONFIG = yaml.load(stream)['StockCrawler']
class DataHandler:
def __init__(self):
... | 33.027027 | 88 | 0.695581 |
a180a99dcf5a21554de9a47a681001a3ba2e1f23 | 3,823 | py | Python | sigpy/interp_test.py | davidyzeng/sigpy | 56f8eb9be57b5a80e53ae09f2ba0802586fe69bc | [
"BSD-3-Clause"
] | null | null | null | sigpy/interp_test.py | davidyzeng/sigpy | 56f8eb9be57b5a80e53ae09f2ba0802586fe69bc | [
"BSD-3-Clause"
] | null | null | null | sigpy/interp_test.py | davidyzeng/sigpy | 56f8eb9be57b5a80e53ae09f2ba0802586fe69bc | [
"BSD-3-Clause"
] | null | null | null | import unittest
import numpy as np
from sigpy import util, interp, config
if config.cupy_enabled:
import cupy as cp
if __name__ == '__main__':
unittest.main()
class TestInterp(unittest.TestCase):
def test_interp(self):
batch = 2
for ndim in [1, 2, 3]:
shape = [3] + [1] * (... | 37.116505 | 91 | 0.414073 |
249bc0588e2f700066a1a01e12351fc637ca32d3 | 3,389 | py | Python | influxdb_client/domain/check.py | wasted925/influxdb-client-python | afee531fd1dc244b3d9d270e262b0a1865a7c89d | [
"MIT"
] | 380 | 2019-09-19T20:20:10.000Z | 2022-03-31T12:59:33.000Z | influxdb_client/domain/check.py | wasted925/influxdb-client-python | afee531fd1dc244b3d9d270e262b0a1865a7c89d | [
"MIT"
] | 362 | 2019-09-16T11:53:29.000Z | 2022-03-29T03:11:59.000Z | influxdb_client/domain/check.py | wasted925/influxdb-client-python | afee531fd1dc244b3d9d270e262b0a1865a7c89d | [
"MIT"
] | 130 | 2019-09-20T08:02:35.000Z | 2022-03-30T16:44:45.000Z | # coding: utf-8
"""
Influx OSS API Service.
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
OpenAPI spec version: 2.0.0
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
class Check(object):
... | 27.552846 | 120 | 0.564178 |
e834d7fd18646b1f51eacb71e70054f75decc17d | 3,282 | py | Python | lib/spack/spack/cmd/extensions.py | alkino/spack | b87ff60c7e23d7b50fac620ad60c8e2537312ebd | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2020-06-25T15:25:29.000Z | 2020-06-25T15:25:29.000Z | lib/spack/spack/cmd/extensions.py | alkino/spack | b87ff60c7e23d7b50fac620ad60c8e2537312ebd | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | lib/spack/spack/cmd/extensions.py | alkino/spack | b87ff60c7e23d7b50fac620ad60c8e2537312ebd | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import argparse
import llnl.util.tty as tty
from llnl.util.tty.colify import colify
import spack.environment as ev
impor... | 32.49505 | 77 | 0.631322 |
22145a49459d42e4cf746cab6672f2dbc1d1e0da | 31 | py | Python | src/campaign/api/models/hex.py | zdog234/campaign | 61a0f556762ce9977190cb132c52318e40edf610 | [
"MIT"
] | 1 | 2020-11-26T09:08:16.000Z | 2020-11-26T09:08:16.000Z | src/campaign/api/models/hex.py | zdog234/campaign | 61a0f556762ce9977190cb132c52318e40edf610 | [
"MIT"
] | 1 | 2021-02-19T12:48:22.000Z | 2021-02-19T12:48:22.000Z | src/divergent/api/models_v1.py | kibalabs/divergent-api | e01229cceff72693a23ce3da9079a52fd9b1fc2e | [
"MIT"
] | null | null | null | from pydantic import BaseModel
| 15.5 | 30 | 0.870968 |
950e4dd2ac1f32d408bc2376d0aaeda83ef2e0ef | 385 | py | Python | tests/parser/sugar_test.py | fifth-postulate/nand-optimizer | 936d278411a073b8a7b860a47c9032e310736ba2 | [
"MIT"
] | null | null | null | tests/parser/sugar_test.py | fifth-postulate/nand-optimizer | 936d278411a073b8a7b860a47c9032e310736ba2 | [
"MIT"
] | null | null | null | tests/parser/sugar_test.py | fifth-postulate/nand-optimizer | 936d278411a073b8a7b860a47c9032e310736ba2 | [
"MIT"
] | null | null | null | from parser.kernel import Any, Filter, Map, Predicate, Sequence, Success, Word, atleast, many
from parser.sugar import intersperse
from tests.parser.kernel_test import assert_unique_parse
def test_intersperse():
parser = intersperse(Word(','), [Word('A'), Word('B'), Word('C')])
parses = parser.parse('A,B,C')
... | 32.083333 | 93 | 0.672727 |
9d8f2a8060ecde0cf11f5f58ca4c2eeb4248e97e | 16,798 | py | Python | bann_demo/pytorch/networks/ae_net_demo.py | arturOnRails/BANN | 027af04349304941fb73c2ede502aca4b76f1ad1 | [
"MIT"
] | null | null | null | bann_demo/pytorch/networks/ae_net_demo.py | arturOnRails/BANN | 027af04349304941fb73c2ede502aca4b76f1ad1 | [
"MIT"
] | null | null | null | bann_demo/pytorch/networks/ae_net_demo.py | arturOnRails/BANN | 027af04349304941fb73c2ede502aca4b76f1ad1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
""".. moduleauthor:: Artur Lissin"""
import sys
from copy import deepcopy
from enum import Enum
from typing import Type, Callable, Dict, Tuple, List, Optional, final, Final
import numpy as np # type: ignore
import torch
from torch import nn
from torch.utils.data import Dataset
from torchvision... | 42.20603 | 100 | 0.677521 |
d9d6e35a5ff535616eb1b656f47c30a0b9ea2cdd | 1,719 | py | Python | tests/config/test_methods_partial.py | Playfloor/bonobo | feb7ec850566ca3c2ccc139610201dbd237d6083 | [
"Apache-2.0"
] | 1,573 | 2016-12-09T09:28:50.000Z | 2022-03-31T06:16:45.000Z | tests/config/test_methods_partial.py | Playfloor/bonobo | feb7ec850566ca3c2ccc139610201dbd237d6083 | [
"Apache-2.0"
] | 257 | 2016-12-25T06:54:33.000Z | 2022-03-18T22:12:17.000Z | tests/config/test_methods_partial.py | Playfloor/bonobo | feb7ec850566ca3c2ccc139610201dbd237d6083 | [
"Apache-2.0"
] | 153 | 2016-12-09T07:23:58.000Z | 2022-03-18T22:01:23.000Z | from unittest.mock import MagicMock
from bonobo.config import Configurable, ContextProcessor, Method, Option
from bonobo.util.inspect import inspect_node
class Bobby(Configurable):
handler = Method()
handler2 = Method()
foo = Option(positional=True)
bar = Option(required=False)
@ContextProcessor... | 25.656716 | 72 | 0.602676 |
8c9610ac420dd6f6ffe70f378b8179c6ec971618 | 4,177 | py | Python | readthedocs/rtd_tests/tests/test_domains.py | agarwalrounak/readthedocs.org | 4911600c230809bd6fb3585d1903121db2928ad6 | [
"MIT"
] | 10 | 2019-05-21T03:00:40.000Z | 2022-03-12T11:24:39.000Z | readthedocs/rtd_tests/tests/test_domains.py | agarwalrounak/readthedocs.org | 4911600c230809bd6fb3585d1903121db2928ad6 | [
"MIT"
] | 12 | 2019-12-05T04:47:01.000Z | 2022-01-09T00:56:58.000Z | readthedocs/rtd_tests/tests/test_domains.py | agarwalrounak/readthedocs.org | 4911600c230809bd6fb3585d1903121db2928ad6 | [
"MIT"
] | 5 | 2019-07-08T23:45:10.000Z | 2021-02-26T07:29:49.000Z | # -*- coding: utf-8 -*-
import json
from django.core.cache import cache
from django.test import TestCase
from django.test.client import RequestFactory
from django.test.utils import override_settings
from django_dynamic_fixture import get
from readthedocs.core.middleware import SubdomainMiddleware
from readthedocs.pr... | 32.130769 | 98 | 0.627723 |
63fb27979251b68aed29b57a621d9dc6e4231a8f | 21,789 | py | Python | neutron/db/securitygroups_rpc_base.py | p0i0/openstack-neutron | df2ee28ae9a43cc511482bd6ece5396eb1288814 | [
"Apache-2.0"
] | null | null | null | neutron/db/securitygroups_rpc_base.py | p0i0/openstack-neutron | df2ee28ae9a43cc511482bd6ece5396eb1288814 | [
"Apache-2.0"
] | null | null | null | neutron/db/securitygroups_rpc_base.py | p0i0/openstack-neutron | df2ee28ae9a43cc511482bd6ece5396eb1288814 | [
"Apache-2.0"
] | null | null | null | # Copyright 2012, Nachi Ueno, NTT MCL, 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
#
# Unles... | 46.359574 | 79 | 0.62091 |
a089bebc79de82e1c18c083c89da4bb77bf38546 | 793 | py | Python | dz5/zad2.py | vedrankolka/APR | 4f8afefc74f3d0f67f5d2ec665c93a4b38fbdf2f | [
"Apache-2.0"
] | null | null | null | dz5/zad2.py | vedrankolka/APR | 4f8afefc74f3d0f67f5d2ec665c93a4b38fbdf2f | [
"Apache-2.0"
] | null | null | null | dz5/zad2.py | vedrankolka/APR | 4f8afefc74f3d0f67f5d2ec665c93a4b38fbdf2f | [
"Apache-2.0"
] | null | null | null | from main import *
integrate(EulerIntegrator(A, B, step=step), x0, start, end, title="Euler")
integrate(ReversedEulerIntegrator(A, B, step=step), x0, start, end, title="Reversed Euler")
integrate(TrapezeIntegrator(A, B, step=step), x0, start, end, title="Trapeze")
integrate(RungeKutta4Real(A, B, step=step), x0, start,... | 49.5625 | 91 | 0.747793 |
4c717d1877f52a20556478bfb4e0043e8a6a2ef8 | 4,010 | py | Python | src/third_party/skia/infra/bots/recipes/recreate_skps.py | rhencke/engine | 1016db292c4e73374a0a11536b18303c9522a224 | [
"BSD-3-Clause"
] | 54 | 2016-04-05T17:45:19.000Z | 2022-01-31T06:27:33.000Z | src/third_party/skia/infra/bots/recipes/recreate_skps.py | rhencke/engine | 1016db292c4e73374a0a11536b18303c9522a224 | [
"BSD-3-Clause"
] | 25 | 2016-03-18T04:01:06.000Z | 2020-06-27T15:39:35.000Z | src/third_party/skia/infra/bots/recipes/recreate_skps.py | rhencke/engine | 1016db292c4e73374a0a11536b18303c9522a224 | [
"BSD-3-Clause"
] | 50 | 2016-03-03T20:31:58.000Z | 2022-03-31T18:26:13.000Z | # Copyright 2014 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.
"""Recipe for the Skia RecreateSKPs Bot."""
DEPS = [
'checkout',
'depot_tools/gclient',
'infra',
'recipe_engine/context',
'recipe_engine/file',
... | 31.574803 | 79 | 0.634913 |
96b207cbdbc5e3d05f47f56b5a7aa60c4a124f4f | 2,418 | py | Python | dual_tb9051ftg_rpi.py | dakoner/rpi_balance_bot | 7ca013924c486548f6a87ae30cce5ff5e0082c0f | [
"BSD-3-Clause"
] | 4 | 2019-12-22T03:33:22.000Z | 2020-09-07T14:36:32.000Z | dual_tb9051ftg_rpi.py | pololu/dual-tb9051ftg-motor-driver-rpi | 4496583444e4a4d37c081b6d59bd78bfcbfaf912 | [
"MIT"
] | null | null | null | dual_tb9051ftg_rpi.py | pololu/dual-tb9051ftg-motor-driver-rpi | 4496583444e4a4d37c081b6d59bd78bfcbfaf912 | [
"MIT"
] | null | null | null | import pigpio
_pi = pigpio.pi()
if not _pi.connected:
raise IOError("Can't connect to pigpio")
# Motor speeds for this library are specified as numbers between -MAX_SPEED and
# MAX_SPEED, inclusive.
# This has a value of 480 for historical reasons/to maintain compatibility with
# older libraries for other Pololu ... | 26.866667 | 83 | 0.65426 |
b3b1cc0fc1b7c224bcb1a4cbd30f542b4be290f5 | 1,142 | py | Python | disk.py | Manishkumarlinux/Linux | b86ac6ab5124faa4af4f394294a2f6b7cdb7601d | [
"Apache-2.0"
] | null | null | null | disk.py | Manishkumarlinux/Linux | b86ac6ab5124faa4af4f394294a2f6b7cdb7601d | [
"Apache-2.0"
] | null | null | null | disk.py | Manishkumarlinux/Linux | b86ac6ab5124faa4af4f394294a2f6b7cdb7601d | [
"Apache-2.0"
] | null | null | null | #Object-oriented Python disk-monitoring script
from subprocess import Popen, PIPE
import re
class DiskMonitor():
"""Disk Monitoring Class"""
def __init__(self, pattern="2[0-9]%", message="CAPACITY WARNING", cmd= "df -h"):
self.pattern = pattern
self.message = message
self.cmd = cmd
... | 30.052632 | 84 | 0.57268 |
0fd071f40a763b4fde266b13ac521fe698997032 | 5,381 | py | Python | Data/download.py | softbankrobotics-research/Generative_Continual_Learning | 66b121437c248993b41f154b5a2d6b7197278578 | [
"MIT"
] | 55 | 2018-10-24T11:43:16.000Z | 2022-02-28T20:13:31.000Z | Data/download.py | softbankrobotics-research/Generative_Continual_Learning | 66b121437c248993b41f154b5a2d6b7197278578 | [
"MIT"
] | null | null | null | Data/download.py | softbankrobotics-research/Generative_Continual_Learning | 66b121437c248993b41f154b5a2d6b7197278578 | [
"MIT"
] | 12 | 2019-01-15T09:47:01.000Z | 2022-03-26T15:07:58.000Z |
"""
Modification of https://github.com/stanfordnlp/treelstm/blob/master/scripts/download.py
Downloads the following:
- Celeb-A dataset
- LSUN dataset
- MNIST dataset
"""
from __future__ import print_function
import os
import sys
import gzip
import json
import shutil
import zipfile
import argparse
import requests
impo... | 29.894444 | 102 | 0.676826 |
975a718248d0210c554491aaade99ea287d226d0 | 9,252 | py | Python | dossiers/models.py | dezede/dezede | 985ed1b42a2a6bab996e26c1b92444ae04afcc2c | [
"BSD-3-Clause"
] | 15 | 2015-02-10T21:16:31.000Z | 2021-03-25T16:46:20.000Z | dossiers/models.py | dezede/dezede | 985ed1b42a2a6bab996e26c1b92444ae04afcc2c | [
"BSD-3-Clause"
] | 4 | 2021-02-10T15:42:08.000Z | 2022-03-11T23:20:38.000Z | dossiers/models.py | dezede/dezede | 985ed1b42a2a6bab996e26c1b92444ae04afcc2c | [
"BSD-3-Clause"
] | 6 | 2016-07-10T14:20:48.000Z | 2022-01-19T18:34:02.000Z | from datetime import datetime
from django.db.models import (
CharField, DateField, ManyToManyField,
TextField, PositiveSmallIntegerField, Q,
ForeignKey, SlugField, CASCADE)
from django.urls import reverse
from django.utils.encoding import smart_text
from django.utils.html import strip_tags
from django.utils... | 43.032558 | 95 | 0.631431 |
053f50ffa11ec061ab740f05b6cedf0c894a8fc7 | 1,987 | py | Python | dask_sql/physical/rel/logical/filter.py | DaceT/dask-sql | c545f2bf9a786b0e9ff7f68c90da4dcc39cdcd73 | [
"MIT"
] | 154 | 2020-08-28T03:03:39.000Z | 2021-08-07T02:02:36.000Z | dask_sql/physical/rel/logical/filter.py | DaceT/dask-sql | c545f2bf9a786b0e9ff7f68c90da4dcc39cdcd73 | [
"MIT"
] | 192 | 2020-08-26T20:05:24.000Z | 2021-08-13T16:14:00.000Z | dask_sql/physical/rel/logical/filter.py | DaceT/dask-sql | c545f2bf9a786b0e9ff7f68c90da4dcc39cdcd73 | [
"MIT"
] | 29 | 2020-08-28T17:15:51.000Z | 2021-08-02T20:19:44.000Z | import logging
from typing import TYPE_CHECKING, Union
import dask.dataframe as dd
import numpy as np
from dask_sql.datacontainer import DataContainer
from dask_sql.physical.rel.base import BaseRelPlugin
from dask_sql.physical.rex import RexConverter
if TYPE_CHECKING:
import dask_sql
from dask_sql.java impor... | 32.57377 | 93 | 0.691495 |
0bace9f8fd8a1fb48157e844a1e4f3e7cc78b4ce | 650 | py | Python | leetcode/1768_merge_strings_alternately.py | jacquerie/leetcode | a05e6b832eb0e0740aaff7b2eb3109038ad404bf | [
"MIT"
] | 3 | 2018-05-10T09:56:49.000Z | 2020-11-07T18:09:42.000Z | leetcode/1768_merge_strings_alternately.py | jacquerie/leetcode | a05e6b832eb0e0740aaff7b2eb3109038ad404bf | [
"MIT"
] | null | null | null | leetcode/1768_merge_strings_alternately.py | jacquerie/leetcode | a05e6b832eb0e0740aaff7b2eb3109038ad404bf | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
class Solution:
def mergeAlternately(self, word1: str, word2: str) -> str:
result, i, j = [], 0, 0
while i < len(word1) or j < len(word2):
if i < len(word1):
result.append(word1[i])
i += 1
if j < len(word2):
... | 27.083333 | 62 | 0.52 |
302aa4f781d0c94bf69a4478072f68fc72a85512 | 2,776 | py | Python | stage/configuration/test_field_order_processor.py | Sentienz/datacollector-tests | ca27988351dc3366488098b5db6c85a8be2f7b85 | [
"Apache-2.0"
] | null | null | null | stage/configuration/test_field_order_processor.py | Sentienz/datacollector-tests | ca27988351dc3366488098b5db6c85a8be2f7b85 | [
"Apache-2.0"
] | null | null | null | stage/configuration/test_field_order_processor.py | Sentienz/datacollector-tests | ca27988351dc3366488098b5db6c85a8be2f7b85 | [
"Apache-2.0"
] | 1 | 2019-10-29T08:46:11.000Z | 2019-10-29T08:46:11.000Z | import pytest
from streamsets.testframework.decorators import stub
@stub
@pytest.mark.parametrize('stage_attributes', [{'default_type': 'BOOLEAN', 'missing_fields': 'USE_DEFAULT'},
{'default_type': 'DATE', 'missing_fields': 'USE_DEFAULT'},
... | 37.513514 | 113 | 0.598703 |
db908598429bc37e215ce119bc03a5a30009cd8d | 5,051 | py | Python | asv_bench/benchmarks/xr_vs_xs.py | bradyrx/xskillscore | 6521f9d114edf012a2829e5ac7f423190bb8de4a | [
"Apache-2.0"
] | 1 | 2020-07-09T01:21:54.000Z | 2020-07-09T01:21:54.000Z | asv_bench/benchmarks/xr_vs_xs.py | bradyrx/xskillscore | 6521f9d114edf012a2829e5ac7f423190bb8de4a | [
"Apache-2.0"
] | null | null | null | asv_bench/benchmarks/xr_vs_xs.py | bradyrx/xskillscore | 6521f9d114edf012a2829e5ac7f423190bb8de4a | [
"Apache-2.0"
] | null | null | null | # Write the benchmarking functions here.
# See "Writing benchmarks" in the asv docs for more information.
import numpy as np
import pandas as pd
import xarray as xr
from xskillscore import mse as xs_mse, pearson_r as xs_pearson_r
from . import parameterized, randn, requires_dask
def xr_mse(a, b, dim):
"""mse ... | 29.887574 | 86 | 0.592952 |
de14b21db1a0693735f089d1a667dd2ffcec6cea | 3,454 | py | Python | bigmler/options/externalconnector.py | bigmlcom/bigmler | 91973ca1e752954302bf26bb22aa6874dc34ce69 | [
"Apache-2.0"
] | 32 | 2015-01-12T10:11:42.000Z | 2021-11-14T19:45:14.000Z | bigmler/options/externalconnector.py | bigmlcom/bigmler | 91973ca1e752954302bf26bb22aa6874dc34ce69 | [
"Apache-2.0"
] | 42 | 2015-02-12T09:54:11.000Z | 2022-03-31T11:33:39.000Z | bigmler/options/externalconnector.py | bigmlcom/bigmler | 91973ca1e752954302bf26bb22aa6874dc34ce69 | [
"Apache-2.0"
] | 23 | 2015-03-04T13:25:23.000Z | 2020-07-15T18:25:52.000Z | # -*- coding: utf-8 -*-
#
# Copyright 2020-2021 BigML
#
# 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 ... | 32.584906 | 77 | 0.54806 |
40d69850ab47f7458b4fead9b5c8f8b7fcaefd7a | 8,583 | py | Python | cpu_ver/hyperserver/experimentResult/meta30/initial_mnist.py | bigaidream-projects/drmad | a4bb6010595d956f29c5a42a095bab76a60b29eb | [
"MIT"
] | 119 | 2016-02-24T17:20:50.000Z | 2021-05-28T21:35:16.000Z | cpu_ver/hyperserver/experimentResult/meta30/initial_mnist.py | LinZichuan/drmad | a4bb6010595d956f29c5a42a095bab76a60b29eb | [
"MIT"
] | 8 | 2016-02-25T03:13:38.000Z | 2017-09-15T00:54:52.000Z | cpu_ver/hyperserver/experimentResult/meta30/initial_mnist.py | LinZichuan/drmad | a4bb6010595d956f29c5a42a095bab76a60b29eb | [
"MIT"
] | 31 | 2016-03-10T04:57:11.000Z | 2021-05-02T01:00:04.000Z | """Runs for paper"""
import sys
import os
project_dir = os.environ['EXPERI_PROJECT_PATH']
sys.path.append(project_dir)
sys.path.append(project_dir+"/hyperParamServerSubSet")
sys.path.append(project_dir+"/library")
sys.path.append(project_dir+"/library/autogradwithbay")
sys.path.append(project_dir+"/library/hypergrad")
... | 35.614108 | 93 | 0.649656 |
0b9cde3675f7c3c24b4b57a7ff8463afe5566dfb | 3,476 | py | Python | NeuralNet.py | xiaoqing1993/Neural_Net | fd6d18f2c9191172a4adf25d385ee8f8ed6c1b4e | [
"MIT"
] | null | null | null | NeuralNet.py | xiaoqing1993/Neural_Net | fd6d18f2c9191172a4adf25d385ee8f8ed6c1b4e | [
"MIT"
] | null | null | null | NeuralNet.py | xiaoqing1993/Neural_Net | fd6d18f2c9191172a4adf25d385ee8f8ed6c1b4e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 28 19:36:17 2016
@author: Xiaoqing
"""
from Layer import Layer
from Weights import Weights
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
import numpy as np
import copy
class NeuralNet():
def __init__(self, n_Hlayer, n_... | 35.835052 | 82 | 0.590621 |
16dd85cb6a3e3ce944d09b0368431edb1a27b058 | 796 | py | Python | migrations/versions/331e9b9a47a8_link_one_engine_many_ship.py | StahlFerro/Erlenmeyer | a337813eb18f1a688dfe7da8b194c7887aa89bdb | [
"MIT"
] | 1 | 2018-11-28T12:46:52.000Z | 2018-11-28T12:46:52.000Z | migrations/versions/331e9b9a47a8_link_one_engine_many_ship.py | StahlFerro/IMVR | a337813eb18f1a688dfe7da8b194c7887aa89bdb | [
"MIT"
] | null | null | null | migrations/versions/331e9b9a47a8_link_one_engine_many_ship.py | StahlFerro/IMVR | a337813eb18f1a688dfe7da8b194c7887aa89bdb | [
"MIT"
] | null | null | null | """Link_One_Engine_Many_Ship
Revision ID: 331e9b9a47a8
Revises: 7c1fe1050867
Create Date: 2018-11-20 21:55:16.175271
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '331e9b9a47a8'
down_revision = '7c1fe1050867'
branch_labels = None
depends_on = None
def upgra... | 25.677419 | 78 | 0.690955 |
ff7786b5b09280c62d94e5690af3826d338c9f92 | 1,002 | py | Python | dfirtrack_main/views/taskstatus_views.py | thomas-kropeit/dfirtrack | b1e0e659af7bc8085cfe2d269ddc651f9f4ba585 | [
"Apache-2.0"
] | 273 | 2018-04-18T22:09:15.000Z | 2021-06-04T09:15:48.000Z | dfirtrack_main/views/taskstatus_views.py | stuhli/dfirtrack | 9260c91e4367b36d4cb1ae7efe4e2d2452f58e6e | [
"Apache-2.0"
] | 75 | 2018-08-31T11:05:37.000Z | 2021-06-08T14:15:07.000Z | dfirtrack_main/views/taskstatus_views.py | thomas-kropeit/dfirtrack | b1e0e659af7bc8085cfe2d269ddc651f9f4ba585 | [
"Apache-2.0"
] | 61 | 2018-11-12T22:55:48.000Z | 2021-06-06T15:16:16.000Z | from django.contrib.auth.mixins import LoginRequiredMixin
from django.views.generic import DetailView, ListView
from dfirtrack_main.logger.default_logger import debug_logger
from dfirtrack_main.models import Taskstatus
class TaskstatusList(LoginRequiredMixin, ListView):
login_url = '/login'
model = Taskstatu... | 34.551724 | 78 | 0.758483 |
29492b87d56dacd6d76d24116a743590cfce8273 | 3,231 | py | Python | CIS1_PA2/distortion_correction.py | JiaheXu/CIS | 01881beb8db270ecda917af07c2588ed66dddbc9 | [
"MIT"
] | null | null | null | CIS1_PA2/distortion_correction.py | JiaheXu/CIS | 01881beb8db270ecda917af07c2588ed66dddbc9 | [
"MIT"
] | null | null | null | CIS1_PA2/distortion_correction.py | JiaheXu/CIS | 01881beb8db270ecda917af07c2588ed66dddbc9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""distortion_correction.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1gglk8QCSftUUW1lES8tGVs3g-WG2nWsq
"""
import numpy as np
import glob
from distort_calibration import *
from cartesian import*
from registration_3d im... | 33.309278 | 112 | 0.638812 |
feb53f462e29b8192533849f79f439dbd23c393c | 4,418 | py | Python | lab4/main.py | khaoulabelahsen/MVA-AlteGrad | 517cd62ef359bce0a7a8c939466f8bad61b5d743 | [
"MIT"
] | 1 | 2021-01-30T12:01:15.000Z | 2021-01-30T12:01:15.000Z | lab4/main.py | khaoulabelahsen/MVA-AlteGrad | 517cd62ef359bce0a7a8c939466f8bad61b5d743 | [
"MIT"
] | null | null | null | lab4/main.py | khaoulabelahsen/MVA-AlteGrad | 517cd62ef359bce0a7a8c939466f8bad61b5d743 | [
"MIT"
] | null | null | null | import sys
import json
import torch
from torch.utils import data
import matplotlib.pyplot as plt
from matplotlib import ticker
from model import *
# = = = = = = = = = = =
path_root = '/content/drive/My Drive/for_moodle'# fill me !
path_to_model = path_root + '/code/'
sys.path.insert(0, path_to_model)
#from model ... | 33.469697 | 100 | 0.596876 |
2d523e044a72e998e205c332454c7b6c569881c0 | 1,438 | py | Python | tools/nntool/interpreter/commands/onnx.py | 00-01/gap_sdk | 25444d752b26ccf0b848301c381692d77172852c | [
"Apache-2.0"
] | 118 | 2018-05-22T08:45:59.000Z | 2022-03-30T07:00:45.000Z | tools/nntool/interpreter/commands/onnx.py | 00-01/gap_sdk | 25444d752b26ccf0b848301c381692d77172852c | [
"Apache-2.0"
] | 213 | 2018-07-25T02:37:32.000Z | 2022-03-30T18:04:01.000Z | tools/nntool/interpreter/commands/onnx.py | 00-01/gap_sdk | 25444d752b26ccf0b848301c381692d77172852c | [
"Apache-2.0"
] | 76 | 2018-07-04T08:19:27.000Z | 2022-03-24T09:58:05.000Z | # Copyright (C) 2020 GreenWaves Technologies, SAS
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# This progr... | 44.9375 | 163 | 0.730876 |
546171b345ffe41d57c7f4ca623957ed58875b93 | 4,108 | py | Python | models/model_s2s.py | gheyret/EfficientConformer | b28a0aaa3b182f72abaccbeb12df0402adf96097 | [
"Apache-2.0"
] | 101 | 2021-09-06T03:52:37.000Z | 2022-03-17T07:57:43.000Z | models/model_s2s.py | entn-at/EfficientConformer | d75c2dc74c44941ca34c62b4196488d34a4fb3a0 | [
"Apache-2.0"
] | 11 | 2021-09-13T05:52:33.000Z | 2022-02-18T04:40:50.000Z | models/model_s2s.py | entn-at/EfficientConformer | d75c2dc74c44941ca34c62b4196488d34a4fb3a0 | [
"Apache-2.0"
] | 17 | 2021-09-06T01:34:28.000Z | 2022-03-24T06:36:46.000Z | # Copyright 2021, Maxime Burchi.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 34.233333 | 174 | 0.659932 |
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