hexsha stringlengths 40 40 | size int64 2 1.02M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 245 | max_stars_repo_name stringlengths 6 130 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | 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 4 245 | max_issues_repo_name stringlengths 6 130 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | 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 4 245 | max_forks_repo_name stringlengths 6 130 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 2 1.02M | avg_line_length float64 1 958k | max_line_length int64 1 987k | alphanum_fraction float64 0 1 | content_no_comment stringlengths 0 1.01M | is_comment_constant_removed bool 2
classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f73371878d00808fee668072135c8280384ffd51 | 1,268 | py | Python | Python3/21_Merge_Two_Sorted_List.py | yangjiahao106/LeetCode | c30ba0ef06f444951f7ab8eee495ac43613d7f4f | [
"RSA-MD"
] | 1 | 2018-04-28T09:07:11.000Z | 2018-04-28T09:07:11.000Z | Python3/21_Merge_Two_Sorted_List.py | yangjiahao106/LeetCode | c30ba0ef06f444951f7ab8eee495ac43613d7f4f | [
"RSA-MD"
] | 1 | 2018-02-24T16:26:30.000Z | 2018-02-24T16:26:44.000Z | Python3/21_Merge_Two_Sorted_List.py | yangjiahao106/LeetCode | c30ba0ef06f444951f7ab8eee495ac43613d7f4f | [
"RSA-MD"
] | null | null | null | #! python3
# __author__ = "YangJiaHao"
# date: 2018/2/1
# Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def mergeTwoLists(self, l1, l2):
"""
:type l1: ListNode
:type l2: ListNode
:rtype: Li... | 22.642857 | 55 | 0.467666 |
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def mergeTwoLists(self, l1, l2):
if l1 == None:
return l2
if l2 == None:
return l1
head = ListNode(0)
node = head
while l1 and l2:
... | true | true |
f7337218de8aef79c314ae5060aa193c2e74b80b | 16,098 | py | Python | coremltools/converters/mil/mil/ops/defs/scatter_gather.py | odedzewi/coremltools | 055d4bf9c00dee8a38258128d6599609df9ae32c | [
"BSD-3-Clause"
] | 1 | 2022-02-10T10:54:28.000Z | 2022-02-10T10:54:28.000Z | coremltools/converters/mil/mil/ops/defs/scatter_gather.py | 0xgpapad/coremltools | fdd5630c423c0fc4f1a04c3f5a3c17b808a15505 | [
"BSD-3-Clause"
] | null | null | null | coremltools/converters/mil/mil/ops/defs/scatter_gather.py | 0xgpapad/coremltools | fdd5630c423c0fc4f1a04c3f5a3c17b808a15505 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
import numpy as np
import numbers
from coremltools.converters.mil.mil import Operation, types
from co... | 29.483516 | 140 | 0.531867 |
import numpy as np
import numbers
from coremltools.converters.mil.mil import Operation, types
from coremltools.converters.mil.mil.input_type import (
DefaultInputs,
InputSpec,
IntInputType,
IntTensorInputType,
TensorInputType,
StringInputType,
)
from coremltools.converters.mil.mil.operation... | true | true |
f733728277c58a28a7d19dce8537b1e9b63ec0df | 2,051 | py | Python | Golden-Miner/Python/functions.py | Henvy-Mango/Golden-Miner | 4e6ec94bafd491e3e867548736711d8ff4c0d9bf | [
"MIT"
] | 30 | 2018-04-09T03:06:26.000Z | 2022-02-24T08:33:11.000Z | Golden-Miner/Python/functions.py | Henvy-Mango/Golden-Miner | 4e6ec94bafd491e3e867548736711d8ff4c0d9bf | [
"MIT"
] | 4 | 2018-07-10T08:31:21.000Z | 2022-01-07T07:21:07.000Z | Golden-Miner/Python/functions.py | Henvy-Mango/Golden-Miner | 4e6ec94bafd491e3e867548736711d8ff4c0d9bf | [
"MIT"
] | 8 | 2018-07-25T08:38:40.000Z | 2020-01-06T06:09:34.000Z | import logging
import os
import time
def tap_screen(x, y,device_x,device_y):
#模拟点击
base_x, base_y = 1920, 1080
real_x = int(x / base_x * device_x)
real_y = int(y / base_y * device_y)
os.system('adb shell input tap {} {}'.format(real_x, real_y))
def VT_init():
#虚拟机adb初始化
os.system('adb connect 12... | 25.962025 | 65 | 0.588981 | import logging
import os
import time
def tap_screen(x, y,device_x,device_y):
base_x, base_y = 1920, 1080
real_x = int(x / base_x * device_x)
real_y = int(y / base_y * device_y)
os.system('adb shell input tap {} {}'.format(real_x, real_y))
def VT_init():
os.system('adb connect 127.0.0.1:7555')
... | true | true |
f733730f2dcf4904be19aad45f5b8b92056240ee | 253 | py | Python | youtubeviewer/colors.py | Kraphyl/YouTube-Viewer | 5fd46052984df5777fa57e140a8b37c1e226eb03 | [
"MIT"
] | null | null | null | youtubeviewer/colors.py | Kraphyl/YouTube-Viewer | 5fd46052984df5777fa57e140a8b37c1e226eb03 | [
"MIT"
] | null | null | null | youtubeviewer/colors.py | Kraphyl/YouTube-Viewer | 5fd46052984df5777fa57e140a8b37c1e226eb03 | [
"MIT"
] | null | null | null | import os
os.system("")
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN = '\033[96m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
| 16.866667 | 25 | 0.521739 | import os
os.system("")
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN = '\033[96m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
| true | true |
f73374d5193383680e6567226fe55556e50468a7 | 7,809 | py | Python | parsl/utils.py | aquanauts/parsl | 978bb483a4a41b3cef083aa242b2a78614a02dd0 | [
"Apache-2.0"
] | null | null | null | parsl/utils.py | aquanauts/parsl | 978bb483a4a41b3cef083aa242b2a78614a02dd0 | [
"Apache-2.0"
] | null | null | null | parsl/utils.py | aquanauts/parsl | 978bb483a4a41b3cef083aa242b2a78614a02dd0 | [
"Apache-2.0"
] | null | null | null | import inspect
import logging
import os
import shlex
import subprocess
import time
import typeguard
from contextlib import contextmanager
from typing import List
import parsl
from parsl.version import VERSION
logger = logging.getLogger(__name__)
@typeguard.typechecked
def get_version() -> str:
version = parsl._... | 32.810924 | 145 | 0.631579 | import inspect
import logging
import os
import shlex
import subprocess
import time
import typeguard
from contextlib import contextmanager
from typing import List
import parsl
from parsl.version import VERSION
logger = logging.getLogger(__name__)
@typeguard.typechecked
def get_version() -> str:
version = parsl._... | true | true |
f7337506208d7ee643aa3b5d1018c89ab589e49e | 12,741 | py | Python | ParamGenerator/Spearmint/spearmint/utils/compression.py | Tabor-Research-Group/ChemOS | 50117f572e95e68dc4dccb624cedb28dbfc6e419 | [
"Apache-2.0"
] | 37 | 2018-03-20T21:23:11.000Z | 2022-03-26T08:19:20.000Z | ParamGenerator/Spearmint/spearmint/utils/compression.py | Tabor-Research-Group/ChemOS | 50117f572e95e68dc4dccb624cedb28dbfc6e419 | [
"Apache-2.0"
] | 1 | 2021-06-29T10:03:22.000Z | 2021-06-29T10:03:22.000Z | ParamGenerator/Spearmint/spearmint/utils/compression.py | Tabor-Research-Group/ChemOS | 50117f572e95e68dc4dccb624cedb28dbfc6e419 | [
"Apache-2.0"
] | 10 | 2018-05-16T21:04:05.000Z | 2021-10-15T18:14:06.000Z | # -*- coding: utf-8 -*-
# Spearmint
#
# Academic and Non-Commercial Research Use Software License and Terms
# of Use
#
# Spearmint is a software package to perform Bayesian optimization
# according to specific algorithms (the “Software”). The Software is
# designed to automatically run experiments (thus the code name
... | 46.163043 | 90 | 0.728828 |
# expenses of litigation) incurred by or imposed upon the Indemnitees
# or any one of them in connection with any claims, suits, actions,
# demands or judgments aris... | true | true |
f73375827f0ed1a1d4b504b151f3741086c92efb | 18,951 | py | Python | tools/interfacedocgen.py | abelalez/nipype | 878271bd906768f11c4cabd04e5d1895551ce8a7 | [
"Apache-2.0"
] | 7 | 2017-02-17T08:54:26.000Z | 2022-03-10T20:57:23.000Z | tools/interfacedocgen.py | abelalez/nipype | 878271bd906768f11c4cabd04e5d1895551ce8a7 | [
"Apache-2.0"
] | 2 | 2018-04-17T19:18:16.000Z | 2020-03-04T22:05:02.000Z | tools/interfacedocgen.py | abelalez/nipype | 878271bd906768f11c4cabd04e5d1895551ce8a7 | [
"Apache-2.0"
] | 2 | 2017-09-23T16:22:00.000Z | 2019-08-01T14:18:52.000Z | # -*- coding: utf-8 -*-
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""Attempt to generate templates for module reference with Sphinx
XXX - we exclude extension modules
To include extension modules, first identify them as valid in the
``_uri2path``... | 35.892045 | 79 | 0.554905 |
from __future__ import print_function, unicode_literals
from builtins import object, open
import inspect
import os
import re
import sys
import tempfile
import warnings
from nipype.interfaces.base import BaseInterface
from nipype.pipeline.engine import Workflow
from nipype.utils.misc import trim
from github impo... | true | true |
f733758c28429f084545854d7df87417d20a7c1b | 12,589 | py | Python | unlp/unsupervised/Word2Vec/get_file.py | Hanscal/unlp | 93a630cac7957f1ddd38f34403ec6577a277e10a | [
"MIT"
] | 8 | 2022-02-23T08:41:26.000Z | 2022-03-14T11:42:51.000Z | unlp/unsupervised/Word2Vec/get_file.py | Hanscal/unlp | 93a630cac7957f1ddd38f34403ec6577a277e10a | [
"MIT"
] | null | null | null | unlp/unsupervised/Word2Vec/get_file.py | Hanscal/unlp | 93a630cac7957f1ddd38f34403ec6577a277e10a | [
"MIT"
] | 2 | 2022-03-09T01:50:40.000Z | 2022-03-21T09:23:09.000Z | # -*- coding: utf-8 -*-
"""
@description: Download file.
"""
import hashlib
import os
import shutil
import sys
import tarfile
import time
import typing
import zipfile
from pathlib import Path
import numpy as np
import six
from six.moves.urllib.error import HTTPError
from six.moves.urllib.error import URLError
from si... | 35.866097 | 79 | 0.57447 |
import hashlib
import os
import shutil
import sys
import tarfile
import time
import typing
import zipfile
from pathlib import Path
import numpy as np
import six
from six.moves.urllib.error import HTTPError
from six.moves.urllib.error import URLError
from six.moves.urllib.request import urlretrieve
class Progbar(ob... | true | true |
f7337830bfdf6964254436e9e7154667341067f2 | 206 | py | Python | programs/models/__init__.py | bycristhian/psp | 019825e010386b6acc8c5466e7a6765218cb10d9 | [
"MIT"
] | 2 | 2020-09-04T17:06:41.000Z | 2020-10-05T01:46:20.000Z | programs/models/__init__.py | bycristhian/psp | 019825e010386b6acc8c5466e7a6765218cb10d9 | [
"MIT"
] | null | null | null | programs/models/__init__.py | bycristhian/psp | 019825e010386b6acc8c5466e7a6765218cb10d9 | [
"MIT"
] | null | null | null |
from .languages import ProgrammingLanguage
from .estimations import Estimation, SizeEstimation, TypePart
from .programs import Program, Report, Pip
from .parts_of_code import ReusedPart, BasePart, NewPart
| 34.333333 | 61 | 0.839806 |
from .languages import ProgrammingLanguage
from .estimations import Estimation, SizeEstimation, TypePart
from .programs import Program, Report, Pip
from .parts_of_code import ReusedPart, BasePart, NewPart
| true | true |
f73378aca4b59d93f62b1204f4f20afa24aae66e | 8,678 | py | Python | scripts/input_converter.py | hahahawu/Tagger | 180a0412abf571797638d024b8dacf9d776ee6f9 | [
"BSD-3-Clause"
] | 2 | 2019-04-21T12:04:38.000Z | 2019-07-11T06:40:59.000Z | scripts/input_converter.py | hahahawu/Tagger | 180a0412abf571797638d024b8dacf9d776ee6f9 | [
"BSD-3-Clause"
] | null | null | null | scripts/input_converter.py | hahahawu/Tagger | 180a0412abf571797638d024b8dacf9d776ee6f9 | [
"BSD-3-Clause"
] | null | null | null | # input_converter.py
# author: Playinf
# email: playinf@stu.xmu.edu.cn
import os
import six
import json
import random
import argparse
import tensorflow as tf
def load_vocab(filename):
fd = open(filename, "r")
count = 0
vocab = {}
for line in fd:
word = line.strip()
vocab[word] = cou... | 30.131944 | 78 | 0.595414 |
import os
import six
import json
import random
import argparse
import tensorflow as tf
def load_vocab(filename):
fd = open(filename, "r")
count = 0
vocab = {}
for line in fd:
word = line.strip()
vocab[word] = count
count += 1
fd.close()
return vocab
def to_json... | true | true |
f733795fb48cb31e6b901353458853317334e76e | 7,191 | py | Python | run.py | dmachlanski/ce807 | 17c9b7ddd71906c018cd213a674f37cbed36856d | [
"MIT"
] | null | null | null | run.py | dmachlanski/ce807 | 17c9b7ddd71906c018cd213a674f37cbed36856d | [
"MIT"
] | null | null | null | run.py | dmachlanski/ce807 | 17c9b7ddd71906c018cd213a674f37cbed36856d | [
"MIT"
] | 1 | 2020-04-20T19:46:17.000Z | 2020-04-20T19:46:17.000Z | import numpy as np
import pandas as pd
import re, argparse, datetime
from timeit import default_timer
from sklearn.preprocessing import MultiLabelBinarizer
from sklearn.feature_extraction.text import TfidfTransformer, CountVectorizer
from sklearn.model_selection import train_test_split, cross_validate
from sklearn.metr... | 52.489051 | 174 | 0.65721 | import numpy as np
import pandas as pd
import re, argparse, datetime
from timeit import default_timer
from sklearn.preprocessing import MultiLabelBinarizer
from sklearn.feature_extraction.text import TfidfTransformer, CountVectorizer
from sklearn.model_selection import train_test_split, cross_validate
from sklearn.metr... | true | true |
f7337a3169791bc62866a541b40acf4d1fcd1fe5 | 9,279 | py | Python | tests/utils/test_shell_util.py | ddiss/WALinuxAgent | 9c9893ebdec8a43bb15d84f309ff5b564436c408 | [
"Apache-2.0"
] | null | null | null | tests/utils/test_shell_util.py | ddiss/WALinuxAgent | 9c9893ebdec8a43bb15d84f309ff5b564436c408 | [
"Apache-2.0"
] | null | null | null | tests/utils/test_shell_util.py | ddiss/WALinuxAgent | 9c9893ebdec8a43bb15d84f309ff5b564436c408 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2018 Microsoft Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | 42.177273 | 128 | 0.684664 |
import unittest
import azurelinuxagent.common.utils.shellutil as shellutil
from tests.tools import AgentTestCase, patch
class ShellQuoteTestCase(AgentTestCase):
def test_shellquote(self):
self.assertEqual("\'foo\'", shellutil.quote("foo"))
self.assertEqual("\'foo bar\'", shelluti... | true | true |
f7337ac96da895a25491e4e7acdfb8a6693363e9 | 34,887 | py | Python | python/taichi/lang/kernel_impl.py | josephgalestian/taichiV2-master | 12a63a05fdccc824205b1ee6545e4706bf473405 | [
"MIT"
] | null | null | null | python/taichi/lang/kernel_impl.py | josephgalestian/taichiV2-master | 12a63a05fdccc824205b1ee6545e4706bf473405 | [
"MIT"
] | null | null | null | python/taichi/lang/kernel_impl.py | josephgalestian/taichiV2-master | 12a63a05fdccc824205b1ee6545e4706bf473405 | [
"MIT"
] | null | null | null | import ast
import functools
import inspect
import re
import sys
import textwrap
import numpy as np
import taichi.lang
from taichi._lib import core as _ti_core
from taichi.lang import impl, runtime_ops
from taichi.lang.ast import (ASTTransformerContext, KernelSimplicityASTChecker,
transform... | 40.238754 | 120 | 0.578468 | import ast
import functools
import inspect
import re
import sys
import textwrap
import numpy as np
import taichi.lang
from taichi._lib import core as _ti_core
from taichi.lang import impl, runtime_ops
from taichi.lang.ast import (ASTTransformerContext, KernelSimplicityASTChecker,
transform... | true | true |
f7337ae7b4f7eaf22bdeba7f4aa4ba0486f8e06e | 8,378 | py | Python | configs/pipelines/templates/detector_mmdet.py | Kitware/VAIME | 47b24b9d8a208cf8c621e5bb1088c61fcf507af6 | [
"BSD-3-Clause"
] | 127 | 2019-05-23T10:05:25.000Z | 2022-03-28T05:14:11.000Z | configs/pipelines/templates/detector_mmdet.py | Kitware/VAIME | 47b24b9d8a208cf8c621e5bb1088c61fcf507af6 | [
"BSD-3-Clause"
] | 39 | 2019-06-18T21:44:58.000Z | 2022-01-12T14:47:01.000Z | configs/pipelines/templates/detector_mmdet.py | Kitware/VAIME | 47b24b9d8a208cf8c621e5bb1088c61fcf507af6 | [
"BSD-3-Clause"
] | 40 | 2016-08-23T21:44:17.000Z | 2019-04-20T23:39:53.000Z | # model settings
model = dict(
type='CascadeRCNN',
pretrained='pytorch_resnext101.pth',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', require... | 32.726563 | 79 | 0.520411 |
model = dict(
type='CascadeRCNN',
pretrained='pytorch_resnext101.pth',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
... | false | true |
f7337c2653fedb575c0e39cee804d8a17992b3b1 | 86 | py | Python | marquee/signals.py | garyjohnson/marquee | ed0379d50b10827179ec22937bdf1ec659651c89 | [
"MIT"
] | null | null | null | marquee/signals.py | garyjohnson/marquee | ed0379d50b10827179ec22937bdf1ec659651c89 | [
"MIT"
] | null | null | null | marquee/signals.py | garyjohnson/marquee | ed0379d50b10827179ec22937bdf1ec659651c89 | [
"MIT"
] | null | null | null | SHOW_MARQUEE = "SHOW_MARQUEE"
SHOW_WINDOW = "SHOW_WINDOW"
HIDE_WINDOW = "HIDE_WINDOW"
| 21.5 | 29 | 0.790698 | SHOW_MARQUEE = "SHOW_MARQUEE"
SHOW_WINDOW = "SHOW_WINDOW"
HIDE_WINDOW = "HIDE_WINDOW"
| true | true |
f7337c398a7271a3f1ad168aba4bf8992569a715 | 990 | py | Python | Estrutura While - Eric e Rafaela/Q04 - Eric e Rafaela.py | RafaelaBF/Exercicios_Python_Grupo | 03b983ab8b481fb7cdaf1bc9b84bb1c399abf538 | [
"MIT"
] | 2 | 2021-11-09T12:57:23.000Z | 2021-11-09T12:57:31.000Z | Estrutura While - Eric e Rafaela/Q04 - Eric e Rafaela.py | Ericcastell/Exercicios_Python_Grupo | 1581610bfa8905bc7e157fc8beb6c0efe103889e | [
"MIT"
] | null | null | null | Estrutura While - Eric e Rafaela/Q04 - Eric e Rafaela.py | Ericcastell/Exercicios_Python_Grupo | 1581610bfa8905bc7e157fc8beb6c0efe103889e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@author: Rafaela e Eric
"""
'''
Questão 4:
Faça um programa que leia um número inteiro positivo
e em seguida monte a figura abaixo. (Não utilize vetor)
Exemplo:
Se o número digitado for n=0. Deverá aparecer na tela:
*
Se o número digitado for n=1. Deverá aparecer na tela:
*
*
Se o n... | 18.679245 | 120 | 0.505051 |
n = int(input("Entre com um número: "))
n1 = 1
n2 = 1
i = 0
while (i < n+1):
n3 = n1+n2
n1 = n2
n2 = n3
i += 1
maior = n2-n1
auxmaior = n1-maior
i=0
while (i < n+1):
x = maior
fat = 1
while (x > 1):
fat*=x
x-=1
print("*" * fat)
y = maior
maior = auxmaior
auxm... | true | true |
f7337d4ccc29cc699a347717a8b85238dc37a3e8 | 47 | py | Python | zlzzlzz2l/0208/2741.py | Kwak-JunYoung/154Algoritm-5weeks | fa18ae5f68a1ee722a30a05309214247f7fbfda4 | [
"MIT"
] | 3 | 2022-01-24T03:06:32.000Z | 2022-01-30T08:43:58.000Z | zlzzlzz2l/0208/2741.py | Kwak-JunYoung/154Algoritm-5weeks | fa18ae5f68a1ee722a30a05309214247f7fbfda4 | [
"MIT"
] | null | null | null | zlzzlzz2l/0208/2741.py | Kwak-JunYoung/154Algoritm-5weeks | fa18ae5f68a1ee722a30a05309214247f7fbfda4 | [
"MIT"
] | 2 | 2022-01-24T02:27:40.000Z | 2022-01-30T08:57:03.000Z | for i in range(1, int(input())+1):
print(i) | 23.5 | 34 | 0.574468 | for i in range(1, int(input())+1):
print(i) | true | true |
f7337f3e34d5b0e084b19c191435b6059b7623b7 | 275 | py | Python | class.py | maverick1599/CodeShot | a0c895d85b9b91931e5a252362e6f5c458328ae5 | [
"MIT"
] | 1 | 2020-11-15T14:58:53.000Z | 2020-11-15T14:58:53.000Z | class.py | hDmtP/CodeShot | 55ed95598fd1983436ce2032476010427928c5fc | [
"MIT"
] | 1 | 2019-10-14T02:47:49.000Z | 2019-10-14T02:47:49.000Z | class.py | hDmtP/CodeShot | 55ed95598fd1983436ce2032476010427928c5fc | [
"MIT"
] | 4 | 2019-10-06T05:51:18.000Z | 2021-10-17T08:44:41.000Z | class Point:
def __init__(self, x=0, y=0):
self.x = x
self.y = y
def __str__(self):
return "({0},{1})".format(self.x, self.y)
def __add__(self, other):
x = self.x + other.x
y = self.y + other.y
return Point(x, y)
| 21.153846 | 49 | 0.490909 | class Point:
def __init__(self, x=0, y=0):
self.x = x
self.y = y
def __str__(self):
return "({0},{1})".format(self.x, self.y)
def __add__(self, other):
x = self.x + other.x
y = self.y + other.y
return Point(x, y)
| true | true |
f7337f6ada4e726fd16d405b68ab684379f9d5ab | 1,878 | py | Python | src/main/python/systemds/operator/algorithm/builtin/lasso.py | dkerschbaumer/systemds | dc3a9f489951d7e13ec47c5181d2c5d7022665ce | [
"Apache-2.0"
] | null | null | null | src/main/python/systemds/operator/algorithm/builtin/lasso.py | dkerschbaumer/systemds | dc3a9f489951d7e13ec47c5181d2c5d7022665ce | [
"Apache-2.0"
] | null | null | null | src/main/python/systemds/operator/algorithm/builtin/lasso.py | dkerschbaumer/systemds | dc3a9f489951d7e13ec47c5181d2c5d7022665ce | [
"Apache-2.0"
] | null | null | null | # -------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you unde... | 38.326531 | 110 | 0.702343 |
from typing import Dict, Iterable
from systemds.operator import OperationNode
from systemds.script_building.dag import OutputType
from systemds.utils.consts import VALID_INPUT_TYPES
def lasso(X: OperationNode, y: OperationNode, **kwargs: Dict[str, VALID_INPUT_TYPES]) -> OperationNode:
... | true | true |
f7338010ef40975077e4884f3ec3a8f8e841322c | 10,916 | py | Python | hypothesis/openannotation/elem_match.py | FrankensteinVariorum/fv-data | 2162770b06692da3b715c89f52eed5123c958979 | [
"Unlicense"
] | 2 | 2018-10-19T21:28:42.000Z | 2018-10-22T06:07:17.000Z | hypothesis/openannotation/elem_match.py | PghFrankenstein/fv-data | 2162770b06692da3b715c89f52eed5123c958979 | [
"Unlicense"
] | 19 | 2018-10-17T22:07:28.000Z | 2019-07-06T20:29:53.000Z | hypothesis/openannotation/elem_match.py | FrankensteinVariorum/fv-data | 2162770b06692da3b715c89f52eed5123c958979 | [
"Unlicense"
] | null | null | null | """
Map p elements from hypothesis annotation pointers to XML ids in the collation chunk XML
"""
import json
import re
import warnings
from glob import glob
from os import path
from lxml import etree, html
from itertools import groupby
class Annotation:
def __init__(self, js):
self.data = json.loads(js)
... | 32.585075 | 114 | 0.5393 |
import json
import re
import warnings
from glob import glob
from os import path
from lxml import etree, html
from itertools import groupby
class Annotation:
def __init__(self, js):
self.data = json.loads(js)
self.witness = re.match(
r".+Frankenstein_(.+)\.html", self.data["target"][0]... | true | true |
f73380a44ac62c7125491bfa10cbafd2c518d561 | 1,702 | py | Python | zerver/management/commands/delete_old_unclaimed_attachments.py | cozyrohan/zulip | 909b484d648cdabc8854dbf8f33e92dda4876968 | [
"Apache-2.0"
] | 2 | 2021-02-02T01:29:32.000Z | 2021-02-02T01:30:51.000Z | zerver/management/commands/delete_old_unclaimed_attachments.py | cozyrohan/zulip | 909b484d648cdabc8854dbf8f33e92dda4876968 | [
"Apache-2.0"
] | 1 | 2021-01-07T15:28:54.000Z | 2021-01-08T15:38:45.000Z | zerver/management/commands/delete_old_unclaimed_attachments.py | cozyrohan/zulip | 909b484d648cdabc8854dbf8f33e92dda4876968 | [
"Apache-2.0"
] | 1 | 2020-12-03T17:08:44.000Z | 2020-12-03T17:08:44.000Z | from argparse import ArgumentParser
from typing import Any
from django.core.management.base import BaseCommand, CommandError
from zerver.lib.actions import do_delete_old_unclaimed_attachments
from zerver.models import get_old_unclaimed_attachments
class Command(BaseCommand):
help = """Remove unclaimed attachmen... | 40.52381 | 90 | 0.634548 | from argparse import ArgumentParser
from typing import Any
from django.core.management.base import BaseCommand, CommandError
from zerver.lib.actions import do_delete_old_unclaimed_attachments
from zerver.models import get_old_unclaimed_attachments
class Command(BaseCommand):
help = """Remove unclaimed attachmen... | true | true |
f73380b341c5fa85ff56206ba6036092064aa04f | 981 | py | Python | orchestra/contrib/bills/serializers.py | RubenPX/django-orchestra | 5ab4779e1ae12ec99569d682601b7810587ed381 | [
"Unlicense"
] | 68 | 2015-02-09T10:28:44.000Z | 2022-03-12T11:08:36.000Z | orchestra/contrib/bills/serializers.py | RubenPX/django-orchestra | 5ab4779e1ae12ec99569d682601b7810587ed381 | [
"Unlicense"
] | 17 | 2015-05-01T18:10:03.000Z | 2021-03-19T21:52:55.000Z | orchestra/contrib/bills/serializers.py | RubenPX/django-orchestra | 5ab4779e1ae12ec99569d682601b7810587ed381 | [
"Unlicense"
] | 29 | 2015-03-31T04:51:03.000Z | 2022-02-17T02:58:50.000Z | from rest_framework import serializers
from orchestra.api import router
from orchestra.contrib.accounts.models import Account
from orchestra.contrib.accounts.serializers import AccountSerializerMixin
from .models import Bill, BillLine, BillContact
class BillLineSerializer(serializers.HyperlinkedModelSerializer):
... | 28.028571 | 86 | 0.704383 | from rest_framework import serializers
from orchestra.api import router
from orchestra.contrib.accounts.models import Account
from orchestra.contrib.accounts.serializers import AccountSerializerMixin
from .models import Bill, BillLine, BillContact
class BillLineSerializer(serializers.HyperlinkedModelSerializer):
... | true | true |
f73380dc833787ad16db5e30fbd5be44452f83be | 1,894 | py | Python | Home/views.py | poppingpixel/DjangoWebsite.io | 5c8a1637333a9856bdb7785016a5d8c650eab76e | [
"Apache-2.0"
] | null | null | null | Home/views.py | poppingpixel/DjangoWebsite.io | 5c8a1637333a9856bdb7785016a5d8c650eab76e | [
"Apache-2.0"
] | null | null | null | Home/views.py | poppingpixel/DjangoWebsite.io | 5c8a1637333a9856bdb7785016a5d8c650eab76e | [
"Apache-2.0"
] | null | null | null |
from django.shortcuts import render,redirect
from django.http import HttpResponse , HttpResponseRedirect
from django.contrib.auth.models import User , auth
from django.contrib.auth import authenticate , login , logout
from django.contrib import messages
def home(request):
return render(request,'home.html')
def h... | 30.548387 | 71 | 0.628828 |
from django.shortcuts import render,redirect
from django.http import HttpResponse , HttpResponseRedirect
from django.contrib.auth.models import User , auth
from django.contrib.auth import authenticate , login , logout
from django.contrib import messages
def home(request):
return render(request,'home.html')
def h... | true | true |
f73381290c29669886f42993b098e5b1d70cdb2c | 1,834 | py | Python | xor_gate_nn/datasets/keras_fn/datasets.py | AI-Huang/XOR_Gate_NN | d97c7fd7e5b046e84bd862081ab800b9ccbb1672 | [
"MIT"
] | null | null | null | xor_gate_nn/datasets/keras_fn/datasets.py | AI-Huang/XOR_Gate_NN | d97c7fd7e5b046e84bd862081ab800b9ccbb1672 | [
"MIT"
] | null | null | null | xor_gate_nn/datasets/keras_fn/datasets.py | AI-Huang/XOR_Gate_NN | d97c7fd7e5b046e84bd862081ab800b9ccbb1672 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date : Feb-09-21 22:23
# @Author : Kelly Hwong (dianhuangkan@gmail.com)
import numpy as np
import tensorflow as tf
class XOR_Dataset(tf.keras.utils.Sequence):
"""XOR_Dataset."""
def __init__(
self,
batch_size=1,
shuffle=False,
... | 24.131579 | 77 | 0.558888 |
import numpy as np
import tensorflow as tf
class XOR_Dataset(tf.keras.utils.Sequence):
def __init__(
self,
batch_size=1,
shuffle=False,
seed=42,
):
self.X = np.array([[0, 0], [0, 1], [1, 0], [1, 1]])
self.y = np.array([[0], [1], [1], [0]])
assert... | true | true |
f73382abafc05d4a3cfa356e78df80f0a7b037f9 | 23,188 | py | Python | jax/experimental/loops.py | austinpeel/jax | 1e625dd3483fea07b65a7a6f701194e20f66cf45 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-11-17T13:36:58.000Z | 2020-11-17T13:36:58.000Z | jax/experimental/loops.py | hanxiao/jax | ca766caa02296023bd6714bb7fdba064a45e2258 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | jax/experimental/loops.py | hanxiao/jax | ca766caa02296023bd6714bb7fdba064a45e2258 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-07-17T18:17:31.000Z | 2020-07-17T18:17:31.000Z | # Copyright 2019 Google 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 40.256944 | 92 | 0.681732 |
import copy
from functools import partial
import itertools
import numpy as np
import traceback
from typing import Any, List, cast
from jax import abstract_arrays
from jax import lax, core
from jax._src.lax import control_flow as lax_control_flow
from jax import tree_util
from jax import numpy as jnp
fr... | true | true |
f733841869f54feb20f297d8835240a7d14283ae | 6,767 | py | Python | python/ccxt/paymium.py | born2net/ccxt | 9995e50ca28513b9a68f774a3517f2c396cc0001 | [
"MIT"
] | null | null | null | python/ccxt/paymium.py | born2net/ccxt | 9995e50ca28513b9a68f774a3517f2c396cc0001 | [
"MIT"
] | null | null | null | python/ccxt/paymium.py | born2net/ccxt | 9995e50ca28513b9a68f774a3517f2c396cc0001 | [
"MIT"
] | 1 | 2018-08-09T18:11:13.000Z | 2018-08-09T18:11:13.000Z | # -*- coding: utf-8 -*-
from ccxt.base.exchange import Exchange
from ccxt.base.errors import ExchangeError
class paymium (Exchange):
def describe(self):
return self.deep_extend(super(paymium, self).describe(), {
'id': 'paymium',
'name': 'Paymium',
'countries': ['FR', ... | 37.181319 | 126 | 0.468745 |
from ccxt.base.exchange import Exchange
from ccxt.base.errors import ExchangeError
class paymium (Exchange):
def describe(self):
return self.deep_extend(super(paymium, self).describe(), {
'id': 'paymium',
'name': 'Paymium',
'countries': ['FR', 'EU'],
'rat... | true | true |
f73384e456231ad7a7678d4ca1fe73ee0e67c76d | 15,512 | py | Python | 04dnn_hmm/02_train_dnn.py | ko-ya346/python_asr | 251d8a4ff810fbeb5f7b63229139944195ab7cb5 | [
"MIT"
] | null | null | null | 04dnn_hmm/02_train_dnn.py | ko-ya346/python_asr | 251d8a4ff810fbeb5f7b63229139944195ab7cb5 | [
"MIT"
] | null | null | null | 04dnn_hmm/02_train_dnn.py | ko-ya346/python_asr | 251d8a4ff810fbeb5f7b63229139944195ab7cb5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# DNNを学習します．
#
# Pytorchを用いた処理に必要なモジュールをインポート
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from torch import optim
# 作成したDatasetクラスをインポート
from my_dataset import SequenceDataset
# 数値演算用モジュール(numpy)をインポート
import numpy as np
# プロット用モジュール(matplotlib)をインポート
import... | 30.356164 | 63 | 0.485237 |
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from torch import optim
from my_dataset import SequenceDataset
import numpy as np
import matplotlib.pyplot as plt
from hmmfunc import MonoPhoneHMM
from my_model import MyDNN
import json
import os
import sys
import shutil
... | true | true |
f73386d2c279e30707cf30922d7659e632ef1eb0 | 637 | py | Python | tests/v3_certificate_validation/test_unit_issuance_date.py | KhoiUna/cert-issuer | a51608a98033be4fca88df6d3708c98baba2907c | [
"MIT"
] | 356 | 2016-09-15T18:41:24.000Z | 2022-03-17T19:55:10.000Z | tests/v3_certificate_validation/test_unit_issuance_date.py | KhoiUna/cert-issuer | a51608a98033be4fca88df6d3708c98baba2907c | [
"MIT"
] | 118 | 2016-10-10T20:41:56.000Z | 2022-03-31T15:23:30.000Z | tests/v3_certificate_validation/test_unit_issuance_date.py | KhoiUna/cert-issuer | a51608a98033be4fca88df6d3708c98baba2907c | [
"MIT"
] | 205 | 2016-09-16T17:53:30.000Z | 2022-03-27T18:26:20.000Z | import unittest
from cert_issuer.models import validate_issuance_date
class UnitValidationV3 (unittest.TestCase):
def test_validate_issuance_date_invalid_RFC3339 (self):
candidate = '20200202'
try:
validate_issuance_date(candidate)
except:
assert True
re... | 22.75 | 59 | 0.634223 | import unittest
from cert_issuer.models import validate_issuance_date
class UnitValidationV3 (unittest.TestCase):
def test_validate_issuance_date_invalid_RFC3339 (self):
candidate = '20200202'
try:
validate_issuance_date(candidate)
except:
assert True
re... | true | true |
f733874f4cb4ca7c6f79942d29040359a26a6ba2 | 849 | py | Python | ObjectOrientedPython/StaticAndLocalVariables.py | dsabhrawal/python-examples | 55b3dd6c9fd0b992bcfe3422765dc80fb143a54b | [
"MIT"
] | 1 | 2020-03-01T17:24:20.000Z | 2020-03-01T17:24:20.000Z | ObjectOrientedPython/StaticAndLocalVariables.py | dsabhrawal/python-examples | 55b3dd6c9fd0b992bcfe3422765dc80fb143a54b | [
"MIT"
] | null | null | null | ObjectOrientedPython/StaticAndLocalVariables.py | dsabhrawal/python-examples | 55b3dd6c9fd0b992bcfe3422765dc80fb143a54b | [
"MIT"
] | null | null | null | # Static variables are class level variables
# Static variables are always referenced by class name
# Local variables are local to methods
class Student:
school = 'PQR' #Static variable
def __init__(self,name,roll,section):
super().__init__()
self.name = name #Instance variable
self.r... | 32.653846 | 71 | 0.654888 |
class Student:
school = 'PQR'
def __init__(self,name,roll,section):
super().__init__()
self.name = name
self.roll = roll
self.section = section
def display(self):
school = 'Local School'
print('Name of student: ',self.name)
print('Roll No ... | true | true |
f733887788b82f8be36163aa08a254e9e20ada0c | 3,592 | py | Python | certbot_plugin_gandi/gandi_api.py | treydock/certbot-plugin-gandi | 773e0da99b361305a32822dac124452d2f78b24d | [
"MIT"
] | null | null | null | certbot_plugin_gandi/gandi_api.py | treydock/certbot-plugin-gandi | 773e0da99b361305a32822dac124452d2f78b24d | [
"MIT"
] | null | null | null | certbot_plugin_gandi/gandi_api.py | treydock/certbot-plugin-gandi | 773e0da99b361305a32822dac124452d2f78b24d | [
"MIT"
] | null | null | null | import requests
import urllib
from collections import namedtuple
from certbot.plugins import dns_common
try:
from urllib import quote # Python 2.X
except ImportError:
from urllib.parse import quote # Python 3+
_GandiConfig = namedtuple('_GandiConfig', ('api_key',))
_BaseDomain = namedtuple('_BaseDomain', ('... | 28.0625 | 78 | 0.663419 | import requests
import urllib
from collections import namedtuple
from certbot.plugins import dns_common
try:
from urllib import quote
except ImportError:
from urllib.parse import quote
_GandiConfig = namedtuple('_GandiConfig', ('api_key',))
_BaseDomain = namedtuple('_BaseDomain', ('zone_uuid', 'fqdn'))
... | true | true |
f73388a718dc5103b5644663388ec3af653ac9b9 | 1,701 | py | Python | app/core/migrations/0001_initial.py | LiMichael1/RecipeAPI | ef3bd0a1223277712cf5f6996f9f627c6e4c9339 | [
"MIT"
] | null | null | null | app/core/migrations/0001_initial.py | LiMichael1/RecipeAPI | ef3bd0a1223277712cf5f6996f9f627c6e4c9339 | [
"MIT"
] | null | null | null | app/core/migrations/0001_initial.py | LiMichael1/RecipeAPI | ef3bd0a1223277712cf5f6996f9f627c6e4c9339 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.6 on 2020-05-24 19:49
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0011_update_proxy_permissions'),
]
operations = [
migrations.CreateModel(
name='User',
f... | 50.029412 | 266 | 0.637272 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0011_update_proxy_permissions'),
]
operations = [
migrations.CreateModel(
name='User',
fields=[
('id', models.AutoField... | true | true |
f7338924a05e595dd854c107878cfbdff8e4e5fe | 12,939 | py | Python | build/go/build.py | EnderNightLord-ChromeBook/zircon-rpi | b09b1eb3aa7a127c65568229fe10edd251869283 | [
"BSD-2-Clause"
] | 1 | 2020-12-29T17:07:06.000Z | 2020-12-29T17:07:06.000Z | build/go/build.py | DamieFC/fuchsia | f78a4a1326f4a4bb5834500918756173c01bab4f | [
"BSD-2-Clause"
] | null | null | null | build/go/build.py | DamieFC/fuchsia | f78a4a1326f4a4bb5834500918756173c01bab4f | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3.8
# Copyright 2017 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# Build script for a Go app.
import argparse
import os
import subprocess
import sys
import string
import shutil
import errno
from g... | 36.863248 | 90 | 0.568359 |
import argparse
import os
import subprocess
import sys
import string
import shutil
import errno
from gen_library_metadata import get_sources
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'--godepfile', help='Path to godepfile tool', required=True)
parser.add_argument(... | true | true |
f73389366327068d6dbba416f0132cddf5ec3000 | 1,207 | py | Python | dev_tools/test_pattern.py | SocialSisterYi/Alconna | 3e1d986ca5486dfd3c7bd80118a75364ab6831b8 | [
"MIT"
] | null | null | null | dev_tools/test_pattern.py | SocialSisterYi/Alconna | 3e1d986ca5486dfd3c7bd80118a75364ab6831b8 | [
"MIT"
] | null | null | null | dev_tools/test_pattern.py | SocialSisterYi/Alconna | 3e1d986ca5486dfd3c7bd80118a75364ab6831b8 | [
"MIT"
] | null | null | null | from arclet.alconna.types import ObjectPattern, add_check, ArgPattern, PatternToken
from arclet.alconna import AlconnaFire
from graia.ariadne.message.chain import MessageChain
from graia.ariadne.message.element import Plain, Image, At, MusicShare
from graia.ariadne.app import Ariadne, MiraiSession
bot = Ariadne(connec... | 48.28 | 287 | 0.74565 | from arclet.alconna.types import ObjectPattern, add_check, ArgPattern, PatternToken
from arclet.alconna import AlconnaFire
from graia.ariadne.message.chain import MessageChain
from graia.ariadne.message.element import Plain, Image, At, MusicShare
from graia.ariadne.app import Ariadne, MiraiSession
bot = Ariadne(connec... | true | true |
f73389df235a94a0c337a0c36489840ae2883f92 | 252 | py | Python | tests/unit/test_algorithms_dsatuto.py | gauthier-emse/pyDcop | a51cc3f7d8ef9ee1f863beeca4ad60490862d2ed | [
"BSD-3-Clause"
] | 28 | 2018-05-18T10:25:58.000Z | 2022-03-05T16:24:15.000Z | tests/unit/test_algorithms_dsatuto.py | gauthier-emse/pyDcop | a51cc3f7d8ef9ee1f863beeca4ad60490862d2ed | [
"BSD-3-Clause"
] | 19 | 2018-09-21T21:50:15.000Z | 2022-02-22T20:23:32.000Z | tests/unit/test_algorithms_dsatuto.py | gauthier-emse/pyDcop | a51cc3f7d8ef9ee1f863beeca4ad60490862d2ed | [
"BSD-3-Clause"
] | 17 | 2018-05-29T19:54:07.000Z | 2022-02-22T20:14:46.000Z | from importlib import import_module
from pydcop.algorithms import AlgorithmDef, ComputationDef, load_algorithm_module
from pydcop.computations_graph.constraints_hypergraph import \
VariableComputationNode
from pydcop.dcop.objects import Variable
| 31.5 | 81 | 0.869048 | from importlib import import_module
from pydcop.algorithms import AlgorithmDef, ComputationDef, load_algorithm_module
from pydcop.computations_graph.constraints_hypergraph import \
VariableComputationNode
from pydcop.dcop.objects import Variable
| true | true |
f7338a76697ba4e87c7780dbe95880201fde6819 | 75 | py | Python | vertigo/datasets/__init__.py | rmarkello/vertigo | 35c79faf3a62b9b3941f0c989640c2f5de8f819e | [
"Apache-2.0"
] | null | null | null | vertigo/datasets/__init__.py | rmarkello/vertigo | 35c79faf3a62b9b3941f0c989640c2f5de8f819e | [
"Apache-2.0"
] | null | null | null | vertigo/datasets/__init__.py | rmarkello/vertigo | 35c79faf3a62b9b3941f0c989640c2f5de8f819e | [
"Apache-2.0"
] | null | null | null | __all__ = [
'fetch_fsaverage'
]
from .fetchers import fetch_fsaverage
| 12.5 | 37 | 0.733333 | __all__ = [
'fetch_fsaverage'
]
from .fetchers import fetch_fsaverage
| true | true |
f7338ac94d4fb8af8870a4afc13f0019a80d21c6 | 2,417 | py | Python | setup.py | Alymostafa/torch-cam | 3f30f0db90fba1b921dbe71e979001c954d245da | [
"MIT"
] | 1 | 2020-11-17T18:20:56.000Z | 2020-11-17T18:20:56.000Z | setup.py | Alymostafa/torch-cam | 3f30f0db90fba1b921dbe71e979001c954d245da | [
"MIT"
] | null | null | null | setup.py | Alymostafa/torch-cam | 3f30f0db90fba1b921dbe71e979001c954d245da | [
"MIT"
] | 1 | 2021-01-04T20:28:20.000Z | 2021-01-04T20:28:20.000Z | #!usr/bin/python
# -*- coding: utf-8 -*-
"""
Package installation setup
"""
import os
import subprocess
from setuptools import find_packages, setup
version = '0.1.2a0'
sha = 'Unknown'
package_name = 'torchcam'
cwd = os.path.dirname(os.path.abspath(__file__))
try:
sha = subprocess.check_output(['git', 'rev-par... | 27.781609 | 96 | 0.639222 |
import os
import subprocess
from setuptools import find_packages, setup
version = '0.1.2a0'
sha = 'Unknown'
package_name = 'torchcam'
cwd = os.path.dirname(os.path.abspath(__file__))
try:
sha = subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=cwd).decode('ascii').strip()
except Exception:
pass
... | true | true |
f7338b27cafceb5086af9c433c59de1f6156099b | 81,197 | py | Python | sphinx/writers/latex.py | hkuno/sphinx | d62220676d38f8d588fb59f92c3169385e94ad00 | [
"BSD-2-Clause"
] | 2 | 2015-02-05T13:09:34.000Z | 2015-06-24T19:39:03.000Z | sphinx/writers/latex.py | jfbu/sphinx | d62220676d38f8d588fb59f92c3169385e94ad00 | [
"BSD-2-Clause"
] | 1 | 2016-06-14T07:25:48.000Z | 2016-06-14T07:25:48.000Z | sphinx/writers/latex.py | jfbu/sphinx | d62220676d38f8d588fb59f92c3169385e94ad00 | [
"BSD-2-Clause"
] | 1 | 2020-07-14T15:46:16.000Z | 2020-07-14T15:46:16.000Z | """
sphinx.writers.latex
~~~~~~~~~~~~~~~~~~~~
Custom docutils writer for LaTeX.
Much of this code is adapted from Dave Kuhlman's "docpy" writer from his
docutils sandbox.
:copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import r... | 39.550414 | 95 | 0.567841 |
import re
import warnings
from collections import defaultdict
from os import path
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Set, Tuple, cast
from docutils import nodes, writers
from docutils.nodes import Element, Node, Text
from sphinx import addnodes, highlighting
from sphinx.deprecation import R... | true | true |
f7338bd5fc8ce08c189fae86311d7c3e1e17a4f7 | 215 | py | Python | muse_score_pdf_exporter.py | kwitee/MuseScoreAutoExporter | d1d3050b73787a8ae2a26b4969480cbcf60abfa1 | [
"MIT"
] | null | null | null | muse_score_pdf_exporter.py | kwitee/MuseScoreAutoExporter | d1d3050b73787a8ae2a26b4969480cbcf60abfa1 | [
"MIT"
] | null | null | null | muse_score_pdf_exporter.py | kwitee/MuseScoreAutoExporter | d1d3050b73787a8ae2a26b4969480cbcf60abfa1 | [
"MIT"
] | null | null | null | import sys
from common import *
def main(muse_score_path, directory_path):
muse_score_export(muse_score_path, directory_path, OutputFormat.pdf)
if __name__ == "__main__":
main(sys.argv[1], sys.argv[2])
| 17.916667 | 72 | 0.744186 | import sys
from common import *
def main(muse_score_path, directory_path):
muse_score_export(muse_score_path, directory_path, OutputFormat.pdf)
if __name__ == "__main__":
main(sys.argv[1], sys.argv[2])
| true | true |
f7338c79c2a36b79835f2421455db0c575892ca0 | 395 | py | Python | docs/components_page/components/spinner/simple.py | glsdown/dash-bootstrap-components | 0ebea4f7de43975f6e3a2958359c4480ae1d4927 | [
"Apache-2.0"
] | 776 | 2019-02-07T19:36:59.000Z | 2022-03-31T05:53:04.000Z | docs/components_page/components/spinner/simple.py | glsdown/dash-bootstrap-components | 0ebea4f7de43975f6e3a2958359c4480ae1d4927 | [
"Apache-2.0"
] | 350 | 2019-02-05T10:42:19.000Z | 2022-03-31T19:23:35.000Z | docs/components_page/components/spinner/simple.py | glsdown/dash-bootstrap-components | 0ebea4f7de43975f6e3a2958359c4480ae1d4927 | [
"Apache-2.0"
] | 219 | 2019-02-10T13:46:25.000Z | 2022-03-23T17:03:39.000Z | import dash_bootstrap_components as dbc
from dash import html
spinners = html.Div(
[
dbc.Spinner(color="primary"),
dbc.Spinner(color="secondary"),
dbc.Spinner(color="success"),
dbc.Spinner(color="warning"),
dbc.Spinner(color="danger"),
dbc.Spinner(color="info"),
... | 24.6875 | 39 | 0.602532 | import dash_bootstrap_components as dbc
from dash import html
spinners = html.Div(
[
dbc.Spinner(color="primary"),
dbc.Spinner(color="secondary"),
dbc.Spinner(color="success"),
dbc.Spinner(color="warning"),
dbc.Spinner(color="danger"),
dbc.Spinner(color="info"),
... | true | true |
f7338cfd399d2b0c39454b622b16d13949a6c4b0 | 4,484 | py | Python | src/s2_put_skeleton_txts_to_a_single_txt.py | SilviaVec/Realtime-Action-Recognition | 330a64fc1b2158b1884a1ee86b9cc875925fc121 | [
"MIT"
] | null | null | null | src/s2_put_skeleton_txts_to_a_single_txt.py | SilviaVec/Realtime-Action-Recognition | 330a64fc1b2158b1884a1ee86b9cc875925fc121 | [
"MIT"
] | 3 | 2020-06-08T14:22:36.000Z | 2020-06-08T14:27:52.000Z | src/s2_put_skeleton_txts_to_a_single_txt.py | mmlab-cv/Realtime-Action-Recognition | 330a64fc1b2158b1884a1ee86b9cc875925fc121 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
'''
Read multiple skeletons txts and saved them into a single txt.
If an image doesn't have skeleton, discard it.
If an image label is not `CLASSES`, discard it.
Input:
`skeletons/00001.txt` ~ `skeletons/xxxxx.txt` from `SRC_DETECTED_SKELETONS_FOLDER`.
Output:
`skeletons_i... | 34.229008 | 97 | 0.662801 |
import numpy as np
import simplejson
import collections
if True:
import sys
import os
ROOT = os.path.dirname(os.path.abspath(__file__))+"/../"
CURR_PATH = os.path.dirname(os.path.abspath(__file__))+"/"
sys.path.append(ROOT)
tils.lib_commons as lib_commons
def par(path):
return RO... | true | true |
f7338d56e91bbfd73a238452f2b8f6fba056c9ac | 190 | py | Python | _celery/Celery/demo/celery_app/task2.py | yc19890920/ap | 5df907afdeeea06befbb29c11f2bab8ff06efb16 | [
"Apache-2.0"
] | 1 | 2021-01-11T06:30:44.000Z | 2021-01-11T06:30:44.000Z | _celery/Celery/demo/celery_app/task2.py | yc19890920/ap | 5df907afdeeea06befbb29c11f2bab8ff06efb16 | [
"Apache-2.0"
] | 23 | 2020-02-12T02:35:49.000Z | 2022-02-11T03:45:40.000Z | _celery/Celery/demo/celery_app/task2.py | yc19890920/ap | 5df907afdeeea06befbb29c11f2bab8ff06efb16 | [
"Apache-2.0"
] | 2 | 2020-04-08T15:39:46.000Z | 2020-10-10T10:13:09.000Z | # -*- coding: utf-8 -*-
import time
from celery_app import app
@app.task
@app.task(queue='test_celey_queue_multiply')
def multiply(x, y):
# time.sleep(0.02)
return x * y
| 17.272727 | 45 | 0.631579 |
import time
from celery_app import app
@app.task
@app.task(queue='test_celey_queue_multiply')
def multiply(x, y):
return x * y
| true | true |
f7338eebb28d83e5ed91ee4013c8eac11bcbfae5 | 352 | py | Python | utils.py | schorrm/arm2riscv | 5fa28e28d920705b660874a03b9906fae710b442 | [
"MIT"
] | 8 | 2020-07-07T13:08:26.000Z | 2022-03-29T23:12:37.000Z | utils.py | schorrm/arm2riscv | 5fa28e28d920705b660874a03b9906fae710b442 | [
"MIT"
] | 2 | 2020-04-05T07:17:22.000Z | 2021-06-27T22:33:25.000Z | utils.py | schorrm/arm2riscv | 5fa28e28d920705b660874a03b9906fae710b442 | [
"MIT"
] | 1 | 2021-06-19T12:38:45.000Z | 2021-06-19T12:38:45.000Z | #!/usr/bin/python3
class InstructionNotRecognized(Exception):
''' Exception to throw when an instruction does not have defined conversion code '''
pass
reg_labels = """ .section .tdata
REG_BANK:
.dword 0
.dword 0
.dword 0
.dword 0
.dword 0
.dword 0
... | 19.555556 | 88 | 0.5625 |
class InstructionNotRecognized(Exception):
pass
reg_labels = """ .section .tdata
REG_BANK:
.dword 0
.dword 0
.dword 0
.dword 0
.dword 0
.dword 0
.dword 0
.dword 0
""" | true | true |
f7338f6dd3f181e895e19eec66ca21d59cbbdafa | 14,786 | py | Python | Source/JavaScriptCore/inspector/scripts/codegen/cpp_generator.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | 6 | 2021-07-05T16:09:39.000Z | 2022-03-06T22:44:42.000Z | Source/JavaScriptCore/inspector/scripts/codegen/cpp_generator.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | 7 | 2022-03-15T13:25:39.000Z | 2022-03-15T13:25:44.000Z | Source/JavaScriptCore/inspector/scripts/codegen/cpp_generator.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (c) 2014-2018 Apple Inc. All rights reserved.
# Copyright (c) 2014 University of Washington. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# 1. Redistribution... | 44.269461 | 148 | 0.653524 |
import logging
import os.path
import re
try:
from .generator import ucfirst, Generator
from .models import PrimitiveType, ObjectType, ArrayType, EnumType, AliasedType, Frameworks
except ValueError:
from generator import ucfirst, Generator
from models import PrimitiveType, Obje... | true | true |
f73390ff913ad0d3db1ad7b68b7cc2ba3cb10194 | 3,815 | py | Python | keepercommander/custom/send_breachwatch_reminder.py | Keeper-Security/commander | 93fee5d2ba56f2288e00ab33003597d00a302b5c | [
"MIT"
] | null | null | null | keepercommander/custom/send_breachwatch_reminder.py | Keeper-Security/commander | 93fee5d2ba56f2288e00ab33003597d00a302b5c | [
"MIT"
] | null | null | null | keepercommander/custom/send_breachwatch_reminder.py | Keeper-Security/commander | 93fee5d2ba56f2288e00ab33003597d00a302b5c | [
"MIT"
] | null | null | null | # _ __
# | |/ /___ ___ _ __ ___ _ _ ®
# | ' </ -_) -_) '_ \/ -_) '_|
# |_|\_\___\___| .__/\___|_|
# |_|
#
# Keeper Commander
# Copyright 2022 Keeper Security Inc.
# Contact: commander@keepersecurity.com
#
# Example script to run a BreachWatch status report, parse the results,
# and send users an email r... | 34.0625 | 122 | 0.647182 |
# |_|\_\___\___| .__/\___|_|
# |_|
#
# Keeper Commander
# Copyright 2022 Keeper Security Inc.
# Contact: commander@keepersecurity.com
#
# Example script to run a BreachWatch status report, parse the results,
# and send users an email reminder to address their found issues.
#
# Note: SMTP credentials mus... | true | true |
f73391199401e76d26dbccadc07847533bdcd32e | 2,448 | py | Python | wandb/vendor/graphql-core-1.1/graphql/pyutils/version.py | theodumont/client | 7402ac67ada5bc8078078a49fd3e0cb4b6172307 | [
"MIT"
] | 3,968 | 2017-08-23T21:27:19.000Z | 2022-03-31T22:00:19.000Z | wandb/vendor/graphql-core-1.1/graphql/pyutils/version.py | theodumont/client | 7402ac67ada5bc8078078a49fd3e0cb4b6172307 | [
"MIT"
] | 2,725 | 2017-04-17T00:29:15.000Z | 2022-03-31T21:01:53.000Z | wandb/vendor/graphql-core-1.1/graphql/pyutils/version.py | theodumont/client | 7402ac67ada5bc8078078a49fd3e0cb4b6172307 | [
"MIT"
] | 351 | 2018-04-08T19:39:34.000Z | 2022-03-30T19:38:08.000Z | from __future__ import unicode_literals
import datetime
import os
import subprocess
def get_version(version=None):
"Returns a PEP 440-compliant version number from VERSION."
version = get_complete_version(version)
# Now build the two parts of the version number:
# main = X.Y[.Z]
# sub = .devN - ... | 30.987342 | 80 | 0.640523 | from __future__ import unicode_literals
import datetime
import os
import subprocess
def get_version(version=None):
version = get_complete_version(version)
main = get_main_version(version)
sub = ''
if version[3] == 'alpha' and version[4] == 0:
git_changeset = get_git_cha... | true | true |
f7339188525147d06d219cb552b6c1f3da5b7a37 | 503 | py | Python | creten/indicators/StdDev.py | nardew/Creten | 15ddb0b52e6f2afec2c79b3c731fccb34a2c63d6 | [
"MIT"
] | 9 | 2019-12-17T10:42:40.000Z | 2021-12-02T23:07:05.000Z | creten/indicators/StdDev.py | nardew/Creten | 15ddb0b52e6f2afec2c79b3c731fccb34a2c63d6 | [
"MIT"
] | null | null | null | creten/indicators/StdDev.py | nardew/Creten | 15ddb0b52e6f2afec2c79b3c731fccb34a2c63d6 | [
"MIT"
] | 6 | 2019-03-04T15:01:10.000Z | 2022-01-12T23:22:55.000Z | from indicators.SingleValueIndicator import SingleValueIndicator
from math import sqrt
class StdDev(SingleValueIndicator):
def __init__(self, period, timeSeries = None):
super(StdDev, self).__init__()
self.period = period
self.initialize(timeSeries)
def _calculate(self):
if len(self.timeSeries) < self.per... | 29.588235 | 108 | 0.745527 | from indicators.SingleValueIndicator import SingleValueIndicator
from math import sqrt
class StdDev(SingleValueIndicator):
def __init__(self, period, timeSeries = None):
super(StdDev, self).__init__()
self.period = period
self.initialize(timeSeries)
def _calculate(self):
if len(self.timeSeries) < self.per... | true | true |
f7339194cf76cb7005d56a755ff75b834296c7fd | 21,029 | py | Python | twisted/python/compat.py | hawkowl/twisted | c413aac3888dea2202c0dc26f978d7f88b4b837a | [
"Unlicense",
"MIT"
] | null | null | null | twisted/python/compat.py | hawkowl/twisted | c413aac3888dea2202c0dc26f978d7f88b4b837a | [
"Unlicense",
"MIT"
] | null | null | null | twisted/python/compat.py | hawkowl/twisted | c413aac3888dea2202c0dc26f978d7f88b4b837a | [
"Unlicense",
"MIT"
] | null | null | null | # -*- test-case-name: twisted.test.test_compat -*-
#
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Compatibility module to provide backwards compatibility for useful Python
features.
This is mainly for use of internal Twisted code. We encourage you to use
the latest version of Python di... | 26.090571 | 79 | 0.629369 |
from __future__ import absolute_import, division
import inspect
import os
import platform
import socket
import string
import struct
import sys
from types import MethodType as _MethodType
from io import TextIOBase, IOBase
if sys.version_info < (3, 0):
_PY3 = False
else:
_PY3 = True
if platform.python... | true | true |
f73391bf5a7e433e31d3b050efc800afce4dbb19 | 1,202 | py | Python | python/saddle-points/saddle_points.py | tamireinhorn/exercism | 3ca78b262ad590b67c75c5d1cd83db02bc2d1e6e | [
"MIT"
] | null | null | null | python/saddle-points/saddle_points.py | tamireinhorn/exercism | 3ca78b262ad590b67c75c5d1cd83db02bc2d1e6e | [
"MIT"
] | 2 | 2021-12-18T16:31:51.000Z | 2021-12-18T16:33:33.000Z | python/saddle-points/saddle_points.py | tamireinhorn/Exercism | 3a3d5744e88ab4457df4e6ac20d772d8c50c43da | [
"MIT"
] | null | null | null | from copy import copy
def saddle_points(matrix):
if not matrix:
return []
if len(set(map(len, matrix))) != 1:
raise ValueError('irregular matrix')
# Saddle point is a point where the element is the biggest in its row but the smallest in its column.
# First off, I guess I'd create colum... | 44.518519 | 137 | 0.634775 | from copy import copy
def saddle_points(matrix):
if not matrix:
return []
if len(set(map(len, matrix))) != 1:
raise ValueError('irregular matrix')
# We revert the matrix
copy_matrix = [copy(row) for row in matrix[::-1]]
columns = [[] for i in range(len(copy_matrix[0]))]
... | true | true |
f7339222d0e6934c4e43bd1c184c8763ac7acd7c | 2,410 | py | Python | HackTheBox/Easy/Shocker/enum/ssh/45939.py | whatsyourask/vuln-boxes | 25b53ccdf318634c0d9d57335c0973ffc2277500 | [
"MIT"
] | null | null | null | HackTheBox/Easy/Shocker/enum/ssh/45939.py | whatsyourask/vuln-boxes | 25b53ccdf318634c0d9d57335c0973ffc2277500 | [
"MIT"
] | 72 | 2021-06-17T21:20:46.000Z | 2022-02-10T19:55:44.000Z | HackTheBox/Easy/Shocker/enum/ssh/45939.py | whatsyourask/vuln-boxes | 25b53ccdf318634c0d9d57335c0973ffc2277500 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# CVE-2018-15473 SSH User Enumeration by Leap Security (@LeapSecurity) https://leapsecurity.io
# Credits: Matthew Daley, Justin Gardner, Lee David Painter
import argparse, logging, paramiko, socket, sys, os
class InvalidUsername(Exception):
pass
# malicious function to malform p... | 35.970149 | 113 | 0.734855 |
import argparse, logging, paramiko, socket, sys, os
class InvalidUsername(Exception):
pass
def add_boolean(*args, **kwargs):
pass
old_service_accept = paramiko.auth_handler.AuthHandler._client_handler_table[
paramiko.common.MSG_SERVICE_ACCEPT]
# malicious function to overwrite MS... | false | true |
f7339293297efa587024ab7b9ae02ecf9e0013db | 14,011 | py | Python | platypush/plugins/media/mpv.py | RichardChiang/platypush | 1777ebb0516118cdef20046a92caab496fa7c6cb | [
"MIT"
] | null | null | null | platypush/plugins/media/mpv.py | RichardChiang/platypush | 1777ebb0516118cdef20046a92caab496fa7c6cb | [
"MIT"
] | null | null | null | platypush/plugins/media/mpv.py | RichardChiang/platypush | 1777ebb0516118cdef20046a92caab496fa7c6cb | [
"MIT"
] | null | null | null | import os
import threading
from platypush.context import get_bus
from platypush.plugins.media import PlayerState, MediaPlugin
from platypush.message.event.media import MediaPlayEvent, MediaPlayRequestEvent, \
MediaPauseEvent, MediaStopEvent, NewPlayingMediaEvent, MediaSeekEvent
from platypush.plugins import actio... | 32.735981 | 117 | 0.593177 | import os
import threading
from platypush.context import get_bus
from platypush.plugins.media import PlayerState, MediaPlugin
from platypush.message.event.media import MediaPlayEvent, MediaPlayRequestEvent, \
MediaPauseEvent, MediaStopEvent, NewPlayingMediaEvent, MediaSeekEvent
from platypush.plugins import actio... | true | true |
f7339296a259556a6062ae990caf0bcc72efd96e | 1,061 | py | Python | cride/users/models/profiles.py | ChekeGT/Comparte-Ride | cb30f1cb6cdafe81fd61ff7539ecaa39f3751353 | [
"MIT"
] | 1 | 2019-09-26T22:49:51.000Z | 2019-09-26T22:49:51.000Z | cride/users/models/profiles.py | ChekeGT/Comparte-Ride | cb30f1cb6cdafe81fd61ff7539ecaa39f3751353 | [
"MIT"
] | 3 | 2021-06-08T22:54:10.000Z | 2022-01-13T03:33:36.000Z | cride/users/models/profiles.py | ChekeGT/Comparte-Ride | cb30f1cb6cdafe81fd61ff7539ecaa39f3751353 | [
"MIT"
] | null | null | null | """Profile model and related models declaration."""
# Django
from django.db import models
# Models
from cride.utils.models import CRideModel
from cride.users.models import User
class Profile(CRideModel):
"""Profile Model Declaration
It's a proxy model to the user but its difference
is that this one is... | 23.065217 | 84 | 0.67295 |
from django.db import models
from cride.utils.models import CRideModel
from cride.users.models import User
class Profile(CRideModel):
user = models.OneToOneField(User, on_delete=models.CASCADE)
picture = models.ImageField(
upload_to='users/pictures/',
blank=True,
null=True
)... | true | true |
f7339354144b687c585f31b180384991e55d7608 | 1,270 | py | Python | configs/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-5shot.py | BIGWangYuDong/mmfewshot | dac097afc92df176bc2de76b7c90968584865197 | [
"Apache-2.0"
] | 376 | 2021-11-23T13:29:57.000Z | 2022-03-30T07:22:14.000Z | configs/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-5shot.py | BIGWangYuDong/mmfewshot | dac097afc92df176bc2de76b7c90968584865197 | [
"Apache-2.0"
] | 51 | 2021-11-23T14:45:08.000Z | 2022-03-30T03:37:15.000Z | configs/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-5shot.py | BIGWangYuDong/mmfewshot | dac097afc92df176bc2de76b7c90968584865197 | [
"Apache-2.0"
] | 56 | 2021-11-23T14:02:27.000Z | 2022-03-31T09:01:50.000Z | _base_ = [
'../../_base_/meta_test/mini-imagenet_meta-test_5way-5shot.py',
'../../_base_/runtime/iter_based_runtime.py',
'../../_base_/schedules/adam_100k_iter.py'
]
img_size = 84
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
train_pipeline = [
dict(... | 30.97561 | 77 | 0.634646 | _base_ = [
'../../_base_/meta_test/mini-imagenet_meta-test_5way-5shot.py',
'../../_base_/runtime/iter_based_runtime.py',
'../../_base_/schedules/adam_100k_iter.py'
]
img_size = 84
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
train_pipeline = [
dict(... | true | true |
f733935b6223c301bbf13251c4a9f50ffb38b622 | 9,362 | py | Python | numba/cuda/kernels/reduction.py | auderson/numba | 3d67c9850ab56457f418cf40af6245fd9c337705 | [
"BSD-2-Clause"
] | 6,620 | 2015-01-04T08:51:04.000Z | 2022-03-31T12:52:18.000Z | numba/cuda/kernels/reduction.py | auderson/numba | 3d67c9850ab56457f418cf40af6245fd9c337705 | [
"BSD-2-Clause"
] | 6,457 | 2015-01-04T03:18:41.000Z | 2022-03-31T17:38:42.000Z | numba/cuda/kernels/reduction.py | auderson/numba | 3d67c9850ab56457f418cf40af6245fd9c337705 | [
"BSD-2-Clause"
] | 930 | 2015-01-25T02:33:03.000Z | 2022-03-30T14:10:32.000Z | """
A library written in CUDA Python for generating reduction kernels
"""
from numba.np.numpy_support import from_dtype
_WARPSIZE = 32
_NUMWARPS = 4
def _gpu_reduce_factory(fn, nbtype):
from numba import cuda
reduce_op = cuda.jit(device=True)(fn)
inner_sm_size = _WARPSIZE + 1 # plus one to avoid SM ... | 35.596958 | 80 | 0.561739 |
from numba.np.numpy_support import from_dtype
_WARPSIZE = 32
_NUMWARPS = 4
def _gpu_reduce_factory(fn, nbtype):
from numba import cuda
reduce_op = cuda.jit(device=True)(fn)
inner_sm_size = _WARPSIZE + 1
max_blocksize = _NUMWARPS * _WARPSIZE
@cuda.jit(device=True)
def inner_warp_reducti... | true | true |
f7339427a053d8f4b9965edf88dc8405e5ffbbd3 | 9,358 | py | Python | pkg/pkg/stats/fisher_exact_nonunity.py | dlee0156/bilateral-connectome | 26fe165341bb79379fecdd8bc5d7b5bfe3983fdc | [
"MIT"
] | null | null | null | pkg/pkg/stats/fisher_exact_nonunity.py | dlee0156/bilateral-connectome | 26fe165341bb79379fecdd8bc5d7b5bfe3983fdc | [
"MIT"
] | null | null | null | pkg/pkg/stats/fisher_exact_nonunity.py | dlee0156/bilateral-connectome | 26fe165341bb79379fecdd8bc5d7b5bfe3983fdc | [
"MIT"
] | null | null | null | from scipy.stats import nchypergeom_fisher
import numpy as np
def fisher_exact_nonunity(table, alternative="two-sided", null_odds=1):
"""Perform a Fisher exact test on a 2x2 contingency table.
Parameters
----------
table : array_like of ints
A 2x2 contingency table. Elements must be non-negat... | 41.22467 | 80 | 0.565292 | from scipy.stats import nchypergeom_fisher
import numpy as np
def fisher_exact_nonunity(table, alternative="two-sided", null_odds=1):
dist = nchypergeom_fisher
c = np.asarray(table, dtype=np.int64)
if not c.shape == (2, 2):
raise ValueError("The input `table` must be of shape (2, 2).")
... | true | true |
f733950fa6f5f5f02c90aca71819e98db7ea1158 | 27,241 | py | Python | sanic/request.py | aericson/sanic | 4a416e177aa5037ba9436e53f531631707e87ea7 | [
"MIT"
] | null | null | null | sanic/request.py | aericson/sanic | 4a416e177aa5037ba9436e53f531631707e87ea7 | [
"MIT"
] | null | null | null | sanic/request.py | aericson/sanic | 4a416e177aa5037ba9436e53f531631707e87ea7 | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import (
TYPE_CHECKING,
Any,
DefaultDict,
Dict,
List,
NamedTuple,
Optional,
Tuple,
Union,
)
from sanic_routing.route import Route # type: ignore
from sanic.models.http_types import Credentials
if TYPE_CHECKING: # no cov
from s... | 31.712456 | 79 | 0.574538 | from __future__ import annotations
from typing import (
TYPE_CHECKING,
Any,
DefaultDict,
Dict,
List,
NamedTuple,
Optional,
Tuple,
Union,
)
from sanic_routing.route import Route
from sanic.models.http_types import Credentials
if TYPE_CHECKING:
from sanic.server import Con... | true | true |
f733955e890eb485d0b5a2d7a9e0ecde1d990814 | 4,990 | py | Python | sg_sr/sr_data/sr_cplx/svd/cpxrbm.py | JunaidAkhter/vmc_jax | 4f0dcc9f32cb6885cad3c5d797d9f9e01247f737 | [
"MIT"
] | null | null | null | sg_sr/sr_data/sr_cplx/svd/cpxrbm.py | JunaidAkhter/vmc_jax | 4f0dcc9f32cb6885cad3c5d797d9f9e01247f737 | [
"MIT"
] | null | null | null | sg_sr/sr_data/sr_cplx/svd/cpxrbm.py | JunaidAkhter/vmc_jax | 4f0dcc9f32cb6885cad3c5d797d9f9e01247f737 | [
"MIT"
] | null | null | null | import sys
# Find jVMC package
#sys.path.append("/Users/akhter/githesis-/jvmc/vmc_jax")
sys.path.append("/Users/akhter/thesis/vmc_jax")
import jax
from jax.config import config
config.update("jax_enable_x64", True)
import jax.random as random
import jax.numpy as jnp
import numpy as np
from jax.tree_util import tree_... | 34.178082 | 119 | 0.672545 | import sys
sys.path.append("/Users/akhter/thesis/vmc_jax")
import jax
from jax.config import config
config.update("jax_enable_x64", True)
import jax.random as random
import jax.numpy as jnp
import numpy as np
from jax.tree_util import tree_flatten, tree_unflatten
import jVMC
import tensornetwork as tn
tn.set_defa... | true | true |
f733965676db0cd299d017c3fa2104464e3702c7 | 65 | py | Python | src/DREAMPlace/dreamplace/ops/lp_dp/lpdp_flow/__init__.py | lbz007/rectanglequery | 59d6eb007bf65480fa3e9245542d0b6071f81831 | [
"BSD-3-Clause"
] | 1 | 2021-01-01T23:39:02.000Z | 2021-01-01T23:39:02.000Z | src/DREAMPlace/dreamplace/ops/lp_dp/lpdp_flow/__init__.py | zoumingzhe/OpenEDA | e87867044b495e40d4276756a6cb13bb38fe49a9 | [
"BSD-3-Clause"
] | null | null | null | src/DREAMPlace/dreamplace/ops/lp_dp/lpdp_flow/__init__.py | zoumingzhe/OpenEDA | e87867044b495e40d4276756a6cb13bb38fe49a9 | [
"BSD-3-Clause"
] | null | null | null | ##
# @file __init__.py
# @author Zhou Fei
# @date Oct 2020
#
| 10.833333 | 21 | 0.584615 | true | true | |
f7339702cad3ed2804fe276b9d1fc6857c368206 | 2,473 | py | Python | PythonAndroid/youtube-dl/lib/python3.5/youtube_dl/extractor/einthusan.py | jianglei12138/python-3.5.1 | 2d248ceba8aa4c14ee43e57ece99cc1a43fd22b7 | [
"PSF-2.0"
] | 10 | 2020-05-29T03:20:03.000Z | 2022-03-29T01:05:20.000Z | youtube_dl/extractor/einthusan.py | huyangfeng/youtobedl | 7b0d1c28597bd38567e5b4e853f669a5a601c6e8 | [
"Unlicense"
] | 5 | 2016-04-22T01:33:31.000Z | 2016-08-04T15:33:19.000Z | PythonSamples/library/files/lib/python2.7/site-packages/youtube_dl/extractor/einthusan.py | jianglei12138/python2.7 | 280aa96d8cac98c03ca8c8ed71541f7ff7817055 | [
"PSF-2.0"
] | 9 | 2020-05-29T03:21:02.000Z | 2021-04-14T03:26:05.000Z | # coding: utf-8
from __future__ import unicode_literals
from .common import InfoExtractor
from ..compat import compat_urlparse
from ..utils import (
remove_start,
sanitized_Request,
)
class EinthusanIE(InfoExtractor):
_VALID_URL = r'https?://(?:www\.)?einthusan\.com/movies/watch.php\?([^#]*?)id=(?P<id>[0... | 34.830986 | 116 | 0.535786 |
from __future__ import unicode_literals
from .common import InfoExtractor
from ..compat import compat_urlparse
from ..utils import (
remove_start,
sanitized_Request,
)
class EinthusanIE(InfoExtractor):
_VALID_URL = r'https?://(?:www\.)?einthusan\.com/movies/watch.php\?([^#]*?)id=(?P<id>[0-9]+)'
_TES... | true | true |
f733979048193e4066264f6686623c3d00567158 | 8,434 | py | Python | sknano/structures/_nanotube_bundle.py | haidi-ustc/scikit-nano | ef9b24165ba37918b3f520657f7311ba139b3e7d | [
"BSD-2-Clause"
] | 21 | 2016-06-08T18:27:20.000Z | 2022-03-22T08:27:46.000Z | sknano/structures/_nanotube_bundle.py | haidi-ustc/scikit-nano | ef9b24165ba37918b3f520657f7311ba139b3e7d | [
"BSD-2-Clause"
] | 8 | 2016-06-24T19:45:58.000Z | 2021-03-25T21:42:29.000Z | sknano/structures/_nanotube_bundle.py | scikit-nano/scikit-nano | ef9b24165ba37918b3f520657f7311ba139b3e7d | [
"BSD-2-Clause"
] | 9 | 2016-12-08T16:35:52.000Z | 2021-06-23T17:13:44.000Z | # -*- coding: utf-8 -*-
"""
==============================================================================
Nanotube bundle base class (:mod:`sknano.structures._nanotube_bundle`)
==============================================================================
.. currentmodule:: sknano.structures._nanotube_bundle
"""
fro... | 30.447653 | 78 | 0.541499 |
from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
__docformat__ = 'restructuredtext en'
import numbers
import numpy as np
from sknano.core.atoms import Atom, vdw_radius_from_basis
from sknano.core.refdata import aCC, grams_per_Da
from sknano.core.math import Ve... | true | true |
f73398ac99bb6ad76208a2cc03425876fd1c766b | 521 | py | Python | app/tests.py | Sergey-59/magnit_test | f769642deed3d6c92b641a348311104c6bb23b93 | [
"Apache-2.0"
] | null | null | null | app/tests.py | Sergey-59/magnit_test | f769642deed3d6c92b641a348311104c6bb23b93 | [
"Apache-2.0"
] | null | null | null | app/tests.py | Sergey-59/magnit_test | f769642deed3d6c92b641a348311104c6bb23b93 | [
"Apache-2.0"
] | null | null | null | '''
Base test
'''
def test_index(client):
assert client.get('/').status_code == 302
def test_registration(client):
assert client.post('/registration',
json={"email": "test4@gmail.com", "password": "12345", "name": "PyTest"}).status_code == 200
assert client.post('/registratio... | 28.944444 | 115 | 0.591171 |
def test_index(client):
assert client.get('/').status_code == 302
def test_registration(client):
assert client.post('/registration',
json={"email": "test4@gmail.com", "password": "12345", "name": "PyTest"}).status_code == 200
assert client.post('/registration',
... | true | true |
f73398fb3cd36cbd081f97b2634fad9d29ff25bc | 2,207 | py | Python | soccer/gameplay/plays/skel/binary_clock.py | kasohrab/robocup-software | 73c92878baf960844b5a4b34c72804093f1ea459 | [
"Apache-2.0"
] | null | null | null | soccer/gameplay/plays/skel/binary_clock.py | kasohrab/robocup-software | 73c92878baf960844b5a4b34c72804093f1ea459 | [
"Apache-2.0"
] | null | null | null | soccer/gameplay/plays/skel/binary_clock.py | kasohrab/robocup-software | 73c92878baf960844b5a4b34c72804093f1ea459 | [
"Apache-2.0"
] | null | null | null | import robocup
import constants
import play
import enum
import behavior
import main
import skills.move
import plays.testing.line_up
import time
# Maintains the state of the ball's position by keeping track of which
# half the ball is on and prints on both entering a given state and
# continuously during the execution... | 37.40678 | 74 | 0.535569 | import robocup
import constants
import play
import enum
import behavior
import main
import skills.move
import plays.testing.line_up
import time
# half the ball is on and prints on both entering a given state and
# continuously during the execution of a given state.
class BinaryClock(play.Play):
class State(enum.... | true | true |
f73399555c889d7db5b4869eb6411073d53546bb | 2,959 | py | Python | wtfml/data_loaders/image/classification.py | nagapavan525/wtfml | f2211addbe423a51b4dbbdec5a40d09649412452 | [
"MIT"
] | 1 | 2020-12-14T05:12:06.000Z | 2020-12-14T05:12:06.000Z | wtfml/data_loaders/image/classification.py | nagapavan525/wtfml | f2211addbe423a51b4dbbdec5a40d09649412452 | [
"MIT"
] | null | null | null | wtfml/data_loaders/image/classification.py | nagapavan525/wtfml | f2211addbe423a51b4dbbdec5a40d09649412452 | [
"MIT"
] | null | null | null | """
__author__: Abhishek Thakur
"""
import torch
import numpy as np
from PIL import Image
from PIL import ImageFile
try:
import torch_xla.core.xla_model as xm
_xla_available = True
except ImportError:
_xla_available = False
ImageFile.LOAD_TRUNCATED_IMAGES = True
class ClassificationDataset:
def ... | 29.59 | 87 | 0.607638 |
import torch
import numpy as np
from PIL import Image
from PIL import ImageFile
try:
import torch_xla.core.xla_model as xm
_xla_available = True
except ImportError:
_xla_available = False
ImageFile.LOAD_TRUNCATED_IMAGES = True
class ClassificationDataset:
def __init__(self, image_paths, targets,... | true | true |
f73399d6c68d8f96a2e10891a342e6fd6459b010 | 7,616 | py | Python | scripts/reinforcement_learning/maml-rl-easy/maze.py | alallala/MAML2 | 6f79426b5449f1fc7a66e0182913329c486e4b86 | [
"MIT"
] | 17 | 2020-02-18T06:49:38.000Z | 2022-02-20T12:06:27.000Z | scripts/reinforcement_learning/maml-rl-easy/maze.py | alallala/MAML2 | 6f79426b5449f1fc7a66e0182913329c486e4b86 | [
"MIT"
] | 2 | 2020-04-15T09:36:15.000Z | 2020-04-30T09:40:09.000Z | scripts/reinforcement_learning/maml-rl-easy/maze.py | alallala/MAML2 | 6f79426b5449f1fc7a66e0182913329c486e4b86 | [
"MIT"
] | 1 | 2021-04-15T08:04:31.000Z | 2021-04-15T08:04:31.000Z | import math
import gym
from gym import spaces, logger
from gym.utils import seeding
import numpy as np
from gym.envs.classic_control import rendering
class MazeEnv(gym.Env):
def __init__(self, task={}):
super(MazeEnv, self).__init__()
# 0-up 1-down 2-left 3-right
self.action_space = [0, 1... | 39.666667 | 110 | 0.553834 | import math
import gym
from gym import spaces, logger
from gym.utils import seeding
import numpy as np
from gym.envs.classic_control import rendering
class MazeEnv(gym.Env):
def __init__(self, task={}):
super(MazeEnv, self).__init__()
self.action_space = [0, 1, 2, 3]
self.action_... | false | true |
f73399f9760977ca6b0406f171a5dc7217817bae | 394 | py | Python | lagtraj/forcings/conversion/targets/__init__.py | BuildJet/lagtraj | a49bff9c165b225b37e212dec4c1d319452cc3f3 | [
"MIT"
] | 4 | 2020-04-16T22:57:00.000Z | 2021-10-05T02:37:58.000Z | lagtraj/forcings/conversion/targets/__init__.py | BuildJet/lagtraj | a49bff9c165b225b37e212dec4c1d319452cc3f3 | [
"MIT"
] | 112 | 2020-05-21T09:47:14.000Z | 2022-03-20T16:00:27.000Z | lagtraj/forcings/conversion/targets/__init__.py | BuildJet/lagtraj | a49bff9c165b225b37e212dec4c1d319452cc3f3 | [
"MIT"
] | 5 | 2020-05-14T11:04:07.000Z | 2022-03-11T16:38:35.000Z | import os
import glob
import importlib
def _package_contents():
for path in glob.glob(os.path.join(os.path.dirname(__file__), "*.py")):
path = os.path.basename(path)
if not path.startswith("_"):
module_name = path.replace(".py", "")
yield module_name, importlib.import_modul... | 26.266667 | 86 | 0.659898 | import os
import glob
import importlib
def _package_contents():
for path in glob.glob(os.path.join(os.path.dirname(__file__), "*.py")):
path = os.path.basename(path)
if not path.startswith("_"):
module_name = path.replace(".py", "")
yield module_name, importlib.import_modul... | true | true |
f7339a9f25e4749bcece34bebe912861f3ed0139 | 89 | py | Python | lhrhost/robot/__init__.py | ethanjli/liquid-handling-robotics | 999ab03c225b4c5382ab9fcac6a4988d0c232c67 | [
"BSD-3-Clause"
] | null | null | null | lhrhost/robot/__init__.py | ethanjli/liquid-handling-robotics | 999ab03c225b4c5382ab9fcac6a4988d0c232c67 | [
"BSD-3-Clause"
] | null | null | null | lhrhost/robot/__init__.py | ethanjli/liquid-handling-robotics | 999ab03c225b4c5382ab9fcac6a4988d0c232c67 | [
"BSD-3-Clause"
] | 1 | 2018-08-03T17:17:31.000Z | 2018-08-03T17:17:31.000Z | """Higher-level abstractions for robot control."""
from lhrhost.robot.robot import Robot
| 29.666667 | 50 | 0.786517 | from lhrhost.robot.robot import Robot
| true | true |
f7339b5e447635f91727aa3325317aed927ac459 | 1,255 | py | Python | ow_lander/scripts/constants.py | nasa/ow_simulator | 662fea6bf83d82e1b0aac69d05c16dee77cd71a5 | [
"NASA-1.3"
] | 97 | 2020-08-10T08:43:14.000Z | 2022-03-21T21:14:15.000Z | ow_lander/scripts/constants.py | AliMuhammadOfficial/ow_simulator | e0c96d74c1f3dea1451c90782172a10cfe183d94 | [
"NASA-1.3"
] | 153 | 2020-08-11T22:37:25.000Z | 2022-03-31T23:29:41.000Z | ow_lander/scripts/constants.py | AliMuhammadOfficial/ow_simulator | e0c96d74c1f3dea1451c90782172a10cfe183d94 | [
"NASA-1.3"
] | 26 | 2020-08-06T17:07:03.000Z | 2022-03-16T01:04:01.000Z | #!/usr/bin/env python2
# The Notices and Disclaimers for Ocean Worlds Autonomy Testbed for Exploration
# Research and Simulation can be found in README.md in the root directory of
# this repository.
## GLOBAL VARS ##
J_SCOOP_YAW = 5
J_HAND_YAW = 4
J_DIST_PITCH = 3
J_PROX_PITCH = 2
J_SHOU_PITCH = 1
J_SHOU_YAW = 0
J_GR... | 22.818182 | 96 | 0.776892 |
HAND_YAW = 4
J_DIST_PITCH = 3
J_PROX_PITCH = 2
J_SHOU_PITCH = 1
J_SHOU_YAW = 0
J_GRINDER = 5
X_SHOU = 0.79
Y_SHOU = 0.175
HAND_Y_OFFSET = 0.0249979319838
SCOOP_OFFSET = 0.215
GRINDER_OFFSET = 0.16
SCOOP_HEIGHT = 0.076
DEFAULT_GROUND_HEIGHT = -0.155
X_DELIV = 0.2
Y_DELIV = 0.2
Z_DELIV = 1.2
SHOU_YAW_DELIV = ... | true | true |
f7339ba9a7dc732eebf511630a68c4deab31743e | 914 | py | Python | pyblis/tests/utils.py | jcrist/pyblis | d9c67d40a15c656a4681ba1b9ca0c52eff40163c | [
"BSD-3-Clause"
] | 2 | 2020-03-07T14:02:51.000Z | 2021-02-03T05:18:11.000Z | pyblis/tests/utils.py | jcrist/pyblis | d9c67d40a15c656a4681ba1b9ca0c52eff40163c | [
"BSD-3-Clause"
] | null | null | null | pyblis/tests/utils.py | jcrist/pyblis | d9c67d40a15c656a4681ba1b9ca0c52eff40163c | [
"BSD-3-Clause"
] | null | null | null | import pytest
import numpy as np
all_dtypes = pytest.mark.parametrize('dtype', ['f4', 'f8', 'c8', 'c16'])
class Base(object):
def rand(self, dtype, shape=()):
a = np.random.normal(size=shape).astype(dtype)
if np.issubdtype(dtype, np.complexfloating):
a += np.random.normal(size=a.sha... | 24.702703 | 72 | 0.608315 | import pytest
import numpy as np
all_dtypes = pytest.mark.parametrize('dtype', ['f4', 'f8', 'c8', 'c16'])
class Base(object):
def rand(self, dtype, shape=()):
a = np.random.normal(size=shape).astype(dtype)
if np.issubdtype(dtype, np.complexfloating):
a += np.random.normal(size=a.sha... | true | true |
f7339bfcce133685fc20bcc3937e577b436a7a84 | 822 | py | Python | application/DemandSideNew/Building/DemandProfile.py | FrancisDinh/Smart-Energy-Project | 16b021e127d9ac5c01653abc31d8cc5d0a7a05c6 | [
"MIT"
] | null | null | null | application/DemandSideNew/Building/DemandProfile.py | FrancisDinh/Smart-Energy-Project | 16b021e127d9ac5c01653abc31d8cc5d0a7a05c6 | [
"MIT"
] | 4 | 2021-06-02T00:34:13.000Z | 2021-06-02T00:35:28.000Z | application/DemandSideNew/Building/DemandProfile.py | FrancisDinh/Smart-Energy-Project | 16b021e127d9ac5c01653abc31d8cc5d0a7a05c6 | [
"MIT"
] | null | null | null | import os, sys
import json
import os.path
import numpy
class DemandProfile:
def __init__(self):
cwd = os.getcwd()
self.fname = cwd + '/demand-profile.json'
def get_data(self):
demand={}
with open(self.fname) as demand_info:
demand = json.load(demand_info)
... | 27.4 | 140 | 0.600973 | import os, sys
import json
import os.path
import numpy
class DemandProfile:
def __init__(self):
cwd = os.getcwd()
self.fname = cwd + '/demand-profile.json'
def get_data(self):
demand={}
with open(self.fname) as demand_info:
demand = json.load(demand_info)
... | true | true |
f7339c3e2aaf49ae2d4dd0b7a9e21662f14c3370 | 1,355 | py | Python | src/senjyu/ml/clustering/kmeans.py | Koukyosyumei/Senjyu | 70faa45e13cb3b1ccdee8a40146a03d60abe11e5 | [
"Apache-2.0"
] | null | null | null | src/senjyu/ml/clustering/kmeans.py | Koukyosyumei/Senjyu | 70faa45e13cb3b1ccdee8a40146a03d60abe11e5 | [
"Apache-2.0"
] | null | null | null | src/senjyu/ml/clustering/kmeans.py | Koukyosyumei/Senjyu | 70faa45e13cb3b1ccdee8a40146a03d60abe11e5 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from mpi4py import MPI
class Kmeans:
def __init__(self, k=3, num_iterations=100, seed=42):
self.k = k
self.num_iterations = num_iterations
self.centorids = None
self.dim = None
self.n = None
np.random.seed(seed)
def train(self, X, parallel=F... | 26.568627 | 85 | 0.563838 | import numpy as np
from mpi4py import MPI
class Kmeans:
def __init__(self, k=3, num_iterations=100, seed=42):
self.k = k
self.num_iterations = num_iterations
self.centorids = None
self.dim = None
self.n = None
np.random.seed(seed)
def train(self, X, parallel=F... | true | true |
f7339c847db5d1e76e116f1c088045635c3233e4 | 6,571 | py | Python | xalpha/realtime.py | Aaron-YunZhao/xalpha | 76dc6390cb5714b1c004f7e79e4af832ad1e6fa5 | [
"MIT"
] | 1 | 2020-03-15T01:48:52.000Z | 2020-03-15T01:48:52.000Z | xalpha/realtime.py | tersapp/xalpha | 76dc6390cb5714b1c004f7e79e4af832ad1e6fa5 | [
"MIT"
] | null | null | null | xalpha/realtime.py | tersapp/xalpha | 76dc6390cb5714b1c004f7e79e4af832ad1e6fa5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
module for realtime watch and notfication
"""
import datetime as dt
import smtplib
from email.header import Header
from email.mime.text import MIMEText
from email.utils import formataddr, parseaddr
from re import match
import pandas as pd
from xalpha.cons import today
from xalpha.info imp... | 33.35533 | 118 | 0.564906 |
import datetime as dt
import smtplib
from email.header import Header
from email.mime.text import MIMEText
from email.utils import formataddr, parseaddr
from re import match
import pandas as pd
from xalpha.cons import today
from xalpha.info import _download, fundinfo
from xalpha.trade import trade
def _format_addr... | true | true |
f7339cfa5ea0739989c4ed11621487244b20116b | 3,415 | py | Python | hls-segmenter.py | rsereda/HLS-Segmenter-AWS-S3 | e98e6f43e8923c46fafcc60fd3585c935e9bb369 | [
"Apache-2.0"
] | 12 | 2015-03-25T10:04:32.000Z | 2021-03-01T14:39:50.000Z | hls-segmenter.py | rsereda/HLS-Segmenter-AWS-S3 | e98e6f43e8923c46fafcc60fd3585c935e9bb369 | [
"Apache-2.0"
] | null | null | null | hls-segmenter.py | rsereda/HLS-Segmenter-AWS-S3 | e98e6f43e8923c46fafcc60fd3585c935e9bb369 | [
"Apache-2.0"
] | 3 | 2015-10-03T09:45:20.000Z | 2019-03-22T14:45:35.000Z | #!/usr/bin/env python
# upload to AWS S3 and clean up
# author Roman Sereda
# sereda.roman@gmail.com
#
# install dependenses
#sudo pip install boto
import json
import os.path
import logging
import subprocess
from boto.s3.connection import S3Connection
from boto.s3.key import Key
config_file = 'config.json'
json... | 31.62037 | 269 | 0.667057 |
import json
import os.path
import logging
import subprocess
from boto.s3.connection import S3Connection
from boto.s3.key import Key
config_file = 'config.json'
json_data=open(config_file)
config = json.load(json_data)
json_data.close()
logging.basicConfig(filename=config['log'],level=logging.DEBUG)
| false | true |
f7339d1d513d9c652ded4f4a4dc0b3fea224e681 | 781 | py | Python | project_euler/ex25_1000digit_fib_number.py | ralphribeiro/uri-projecteuler | 7151d86e014aea9c56026cc88f50b4e940117dd8 | [
"MIT"
] | null | null | null | project_euler/ex25_1000digit_fib_number.py | ralphribeiro/uri-projecteuler | 7151d86e014aea9c56026cc88f50b4e940117dd8 | [
"MIT"
] | null | null | null | project_euler/ex25_1000digit_fib_number.py | ralphribeiro/uri-projecteuler | 7151d86e014aea9c56026cc88f50b4e940117dd8 | [
"MIT"
] | null | null | null | """
The Fibonacci sequence is defined by the recurrence relation:
Fn = Fn−1 + Fn−2, where F1 = 1 and F2 = 1.
Hence the first 12 terms will be:
F1 = 1
F2 = 1
F3 = 2
F4 = 3
F5 = 5
F6 = 8
F7 = 13
F8 = 21
F9 = 34
F10 = 55
F11 = 89
F12 = 144
The 12th term, F12, is the first term to contain three digits.
... | 16.617021 | 76 | 0.583867 |
def fib():
last = 1
penultimate = 1
yield last
yield penultimate
while True:
ret = last + penultimate
penultimate = last
yield ret
last = ret
f = fib()
index = 1
while True:
ret = next(f)
ret_list = [n for n in str(ret)]
if len(ret_list) > 999:
... | true | true |
f7339d56480d376c52eba03d3815e0df05ad5d71 | 619 | py | Python | GMXToPython.py | Karuji/GMProjectImporter | 2e810dcaf740304550a82315e720ad39cdbc4fe7 | [
"MIT"
] | null | null | null | GMXToPython.py | Karuji/GMProjectImporter | 2e810dcaf740304550a82315e720ad39cdbc4fe7 | [
"MIT"
] | null | null | null | GMXToPython.py | Karuji/GMProjectImporter | 2e810dcaf740304550a82315e720ad39cdbc4fe7 | [
"MIT"
] | null | null | null | import xml.etree.ElementTree as ET
import os
from Element import Element
class GMXToPython(object):
def __init__(self, xmlFile):
self.gmxroot = ET.parse(xmlFile).getroot()
self.root = Element(self.gmxroot)
for child in self.gmxroot:
self.process(child, self.root)
def process(self, element, parent):
ele... | 22.925926 | 44 | 0.728595 | import xml.etree.ElementTree as ET
import os
from Element import Element
class GMXToPython(object):
def __init__(self, xmlFile):
self.gmxroot = ET.parse(xmlFile).getroot()
self.root = Element(self.gmxroot)
for child in self.gmxroot:
self.process(child, self.root)
def process(self, element, parent):
ele... | true | true |
f7339e8916132c9d410b936f39152a5243dc3a95 | 13,341 | py | Python | convlab/modules/e2e/multiwoz/Mem2Seq/utils/utils_babi_mem2seq.py | ngduyanhece/ConvLab | a04582a77537c1a706fbf64715baa9ad0be1301a | [
"MIT"
] | 405 | 2019-06-17T05:38:47.000Z | 2022-03-29T15:16:51.000Z | convlab/modules/e2e/multiwoz/Mem2Seq/utils/utils_babi_mem2seq.py | ngduyanhece/ConvLab | a04582a77537c1a706fbf64715baa9ad0be1301a | [
"MIT"
] | 69 | 2019-06-20T22:57:41.000Z | 2022-03-04T12:12:07.000Z | convlab/modules/e2e/multiwoz/Mem2Seq/utils/utils_babi_mem2seq.py | ngduyanhece/ConvLab | a04582a77537c1a706fbf64715baa9ad0be1301a | [
"MIT"
] | 124 | 2019-06-17T05:11:23.000Z | 2021-12-31T05:58:18.000Z | # Modified by Microsoft Corporation.
# Licensed under the MIT license.
import logging
import torch
import torch.utils.data as data
from torch.autograd import Variable
from utils.config import *
from utils.until_temp import entityList
def hasNumbers(inputString):
return any(char.isdigit() for char in inputString... | 39.008772 | 141 | 0.55603 |
import logging
import torch
import torch.utils.data as data
from torch.autograd import Variable
from utils.config import *
from utils.until_temp import entityList
def hasNumbers(inputString):
return any(char.isdigit() for char in inputString)
MEM_TOKEN_SIZE = 3
class Lang:
def __init__(self):
se... | true | true |
f7339ef7fada422038c26aff3a05596353cb5673 | 643 | py | Python | main.py | fossabot/ar4maps | 053a0bc623c40a8b3aa1e3e7ce57b10f00ae2849 | [
"MIT"
] | 6 | 2020-05-26T10:13:45.000Z | 2021-12-04T08:46:59.000Z | main.py | fossabot/ar4maps | 053a0bc623c40a8b3aa1e3e7ce57b10f00ae2849 | [
"MIT"
] | 1 | 2020-05-25T15:03:10.000Z | 2020-05-25T15:03:10.000Z | main.py | fossabot/ar4maps | 053a0bc623c40a8b3aa1e3e7ce57b10f00ae2849 | [
"MIT"
] | 2 | 2020-05-25T14:55:40.000Z | 2020-12-06T03:52:27.000Z | # *****************************************************************************
# * Author: Miguel Magalhaes
# * Email: miguel@magalhaes.pro
# *****************************************************************************
# * Main
# *****************************************************************************
import sy... | 30.619048 | 79 | 0.415241 |
import sys
import yaml
from PyQt5.QtWidgets import QApplication
from interface import Interface
if __name__ == "__main__":
app = QApplication(sys.argv)
with open(sys.argv[1] + 'config.yml') as f:
config = yaml.safe_load(f)
win = Interface(sys.argv[1], config)
win.show()
sys... | true | true |
f7339f758dce9f4a54ec4e742425982bcaa3bec7 | 1,770 | py | Python | chords/admin.py | Ilias95/guitarchords | 4477ad1110718ad64d2180b6dc9a5f03eb49ebde | [
"MIT"
] | 4 | 2015-08-28T23:35:54.000Z | 2016-12-30T15:26:50.000Z | chords/admin.py | Ilias95/guitarchords | 4477ad1110718ad64d2180b6dc9a5f03eb49ebde | [
"MIT"
] | null | null | null | chords/admin.py | Ilias95/guitarchords | 4477ad1110718ad64d2180b6dc9a5f03eb49ebde | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Artist, Song
admin.AdminSite.site_title = 'Chords administration'
admin.AdminSite.site_header = 'Chords Administration'
class ArtistAdmin(admin.ModelAdmin):
exclude = ['slug']
actions = ['delete_selected']
search_fields = ['name']
def delete_sele... | 31.607143 | 78 | 0.642938 | from django.contrib import admin
from .models import Artist, Song
admin.AdminSite.site_title = 'Chords administration'
admin.AdminSite.site_header = 'Chords Administration'
class ArtistAdmin(admin.ModelAdmin):
exclude = ['slug']
actions = ['delete_selected']
search_fields = ['name']
def delete_sele... | true | true |
f7339ffceb1271b59fe05fe8af5b4d70a0b4e922 | 340 | py | Python | Jumping around and changing speed.py | Toulik1729231/Python3.7 | 56acd1af1b7c7e664c7bd8bd6eec0740871b6815 | [
"MIT"
] | null | null | null | Jumping around and changing speed.py | Toulik1729231/Python3.7 | 56acd1af1b7c7e664c7bd8bd6eec0740871b6815 | [
"MIT"
] | null | null | null | Jumping around and changing speed.py | Toulik1729231/Python3.7 | 56acd1af1b7c7e664c7bd8bd6eec0740871b6815 | [
"MIT"
] | null | null | null | import turtle
ninja = turtle.Turtle()
ninja.speed(10)
for i in range(180):
ninja.forward(100)
ninja.right(30)
ninja.forward(20)
ninja.left(60)
ninja.forward(50)
ninja.right(30)
ninja.penup()
ninja.setposition(0, 0)
ninja.pendown()
ninja.right(2)
... | 15.454545 | 28 | 0.570588 | import turtle
ninja = turtle.Turtle()
ninja.speed(10)
for i in range(180):
ninja.forward(100)
ninja.right(30)
ninja.forward(20)
ninja.left(60)
ninja.forward(50)
ninja.right(30)
ninja.penup()
ninja.setposition(0, 0)
ninja.pendown()
ninja.right(2)
... | true | true |
f733a1fa06978ea0db0e27d7877804c982cfb8be | 211 | py | Python | tests/conftest.py | dustye/policyguru | 16da990ff600468077660acf10a9db6682454df1 | [
"MIT"
] | 8 | 2021-01-25T03:27:44.000Z | 2022-01-18T08:07:43.000Z | tests/conftest.py | dustye/policyguru | 16da990ff600468077660acf10a9db6682454df1 | [
"MIT"
] | 2 | 2021-04-24T22:49:20.000Z | 2021-06-10T16:25:37.000Z | tests/conftest.py | dustye/policyguru | 16da990ff600468077660acf10a9db6682454df1 | [
"MIT"
] | 4 | 2021-04-24T23:06:56.000Z | 2021-11-18T22:50:26.000Z | import pytest
from starlette.testclient import TestClient
from policyguru.main import app
@pytest.fixture(scope="module")
def test_app():
client = TestClient(app)
yield client # testing happens here
| 19.181818 | 43 | 0.763033 | import pytest
from starlette.testclient import TestClient
from policyguru.main import app
@pytest.fixture(scope="module")
def test_app():
client = TestClient(app)
yield client
| true | true |
f733a244a6d71168c73c92692652d8e6b6eb0e22 | 6,761 | py | Python | Mini-DeepText-2.0/train.py | Ethan-Yang0101/Mini-DeepText-Project | 6ed70fae7d00610b942fb9b2526d11ebfd1b48f7 | [
"MIT"
] | null | null | null | Mini-DeepText-2.0/train.py | Ethan-Yang0101/Mini-DeepText-Project | 6ed70fae7d00610b942fb9b2526d11ebfd1b48f7 | [
"MIT"
] | null | null | null | Mini-DeepText-2.0/train.py | Ethan-Yang0101/Mini-DeepText-Project | 6ed70fae7d00610b942fb9b2526d11ebfd1b48f7 | [
"MIT"
] | null | null | null |
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
import torch.nn.functional as F
import torch.optim as optim
from TextDataset import TextDataset
from Model.BasicModel.TextCLRModel import TextCLRModel
from Model.BasicModel.TextSLBModel import TextSLBModel
from Model.BasicModel.TextNMTModel imp... | 39.538012 | 79 | 0.659222 |
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
import torch.nn.functional as F
import torch.optim as optim
from TextDataset import TextDataset
from Model.BasicModel.TextCLRModel import TextCLRModel
from Model.BasicModel.TextSLBModel import TextSLBModel
from Model.BasicModel.TextNMTModel imp... | true | true |
f733a2810ed0c62aaf5db77c8205e09e414d3286 | 61,223 | py | Python | scripts/automation/trex_control_plane/interactive/trex/astf/trex_astf_client.py | kphaye/trex-core | 4b4d738182f7b3c44671c10ad6404ddd14e06498 | [
"Apache-2.0"
] | null | null | null | scripts/automation/trex_control_plane/interactive/trex/astf/trex_astf_client.py | kphaye/trex-core | 4b4d738182f7b3c44671c10ad6404ddd14e06498 | [
"Apache-2.0"
] | null | null | null | scripts/automation/trex_control_plane/interactive/trex/astf/trex_astf_client.py | kphaye/trex-core | 4b4d738182f7b3c44671c10ad6404ddd14e06498 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import hashlib
import sys
import time
import os
import shlex
from ..utils.common import get_current_user, user_input, PassiveTimer
from ..utils import parsing_opts, text_tables
from ..common.trex_api_annotators import client_api, console_api
from ..common.trex_client import TRexC... | 35.0246 | 169 | 0.560459 | from __future__ import print_function
import hashlib
import sys
import time
import os
import shlex
from ..utils.common import get_current_user, user_input, PassiveTimer
from ..utils import parsing_opts, text_tables
from ..common.trex_api_annotators import client_api, console_api
from ..common.trex_client import TRexC... | true | true |
f733a38586237d09cb05dc4b8ec5ac633e12d4d7 | 6,724 | py | Python | examples/pwr_run/checkpointing/nonpc_short/final1/job20.py | boringlee24/keras_old | 1e1176c45c4952ba1b9b9e58e9cc4df027ab111d | [
"MIT"
] | null | null | null | examples/pwr_run/checkpointing/nonpc_short/final1/job20.py | boringlee24/keras_old | 1e1176c45c4952ba1b9b9e58e9cc4df027ab111d | [
"MIT"
] | null | null | null | examples/pwr_run/checkpointing/nonpc_short/final1/job20.py | boringlee24/keras_old | 1e1176c45c4952ba1b9b9e58e9cc4df027ab111d | [
"MIT"
] | null | null | null | """
#Trains a ResNet on the CIFAR10 dataset.
"""
from __future__ import print_function
import keras
from keras.layers import Dense, Conv2D, BatchNormalization, Activation
from keras.layers import AveragePooling2D, Input, Flatten
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint, LearningRa... | 30.563636 | 118 | 0.703004 |
from __future__ import print_function
import keras
from keras.layers import Dense, Conv2D, BatchNormalization, Activation
from keras.layers import AveragePooling2D, Input, Flatten
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint, LearningRateScheduler
from keras.callbacks import ReduceLROn... | true | true |
f733a3ecee48a2958a6f46d7e9a4ea6651a8b85a | 7,142 | py | Python | DeepFilterNet/df/utils.py | Rikorose/DeepFilterNet | afe6bfb53efae70207e18df7ed372c2cfe337fee | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 54 | 2021-10-13T01:17:11.000Z | 2022-03-24T00:54:01.000Z | DeepFilterNet/df/utils.py | Rikorose/DeepFilterNet | afe6bfb53efae70207e18df7ed372c2cfe337fee | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 33 | 2021-11-04T23:16:12.000Z | 2022-03-24T10:15:34.000Z | DeepFilterNet/df/utils.py | Rikorose/DeepFilterNet | afe6bfb53efae70207e18df7ed372c2cfe337fee | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 16 | 2021-10-15T02:06:52.000Z | 2022-03-24T00:54:04.000Z | import collections
import math
import os
import random
import subprocess
from socket import gethostname
from typing import Any, Dict, Set, Tuple, Union
import numpy as np
import torch
from loguru import logger
from torch import Tensor
from torch._six import string_classes
from torch.autograd import Function
from torch... | 30.917749 | 98 | 0.646458 | import collections
import math
import os
import random
import subprocess
from socket import gethostname
from typing import Any, Dict, Set, Tuple, Union
import numpy as np
import torch
from loguru import logger
from torch import Tensor
from torch._six import string_classes
from torch.autograd import Function
from torch... | true | true |
f733a40bf98049f8734ae87f832ac02da58c2d79 | 1,471 | py | Python | backfill_alerting/delphi_backfill_alerting/config.py | jingjtang/covidcast-indicators | 34cb8786f78fbea2710b810a9500ee02c2379241 | [
"MIT"
] | null | null | null | backfill_alerting/delphi_backfill_alerting/config.py | jingjtang/covidcast-indicators | 34cb8786f78fbea2710b810a9500ee02c2379241 | [
"MIT"
] | null | null | null | backfill_alerting/delphi_backfill_alerting/config.py | jingjtang/covidcast-indicators | 34cb8786f78fbea2710b810a9500ee02c2379241 | [
"MIT"
] | null | null | null | """
This file contains configuration variables used for the backfill alerting.
"""
from datetime import datetime, timedelta
class Config:
"""Static configuration variables."""
## dates
FIRST_DATA_DATE = datetime(2020, 1, 1)
# shift dates forward for labeling purposes
DAY_SHIFT = timedelta(days=1... | 27.754717 | 74 | 0.627464 |
from datetime import datetime, timedelta
class Config:
RST_DATA_DATE = datetime(2020, 1, 1)
DAY_SHIFT = timedelta(days=1)
NT = "Covid"
TOTAL_COUNT = "Denom"
COUNT_COL = "count"
DATE_COL = "time_value"
GEO_COL = "geo_value"
ID_COLS = [DATE_COL] + [GEO_COL]
DATA_COLS = [DATE... | true | true |
f733a4997545f5675b7d476938d494363e9bac81 | 2,379 | py | Python | gilda/resources/__init__.py | steppi/gilda | 4927469e5f9a4ca20a056f617c126fe6a4bf3b34 | [
"BSD-2-Clause"
] | null | null | null | gilda/resources/__init__.py | steppi/gilda | 4927469e5f9a4ca20a056f617c126fe6a4bf3b34 | [
"BSD-2-Clause"
] | null | null | null | gilda/resources/__init__.py | steppi/gilda | 4927469e5f9a4ca20a056f617c126fe6a4bf3b34 | [
"BSD-2-Clause"
] | null | null | null | import os
import boto3
import pystow
import logging
import botocore
from gilda import __version__
logger = logging.getLogger(__name__)
HERE = os.path.abspath(os.path.dirname(__file__))
MESH_MAPPINGS_PATH = os.path.join(HERE, 'mesh_mappings.tsv')
resource_dir = pystow.join('gilda', __version__)
GROUNDING_TERMS_BASE_... | 32.148649 | 76 | 0.691887 | import os
import boto3
import pystow
import logging
import botocore
from gilda import __version__
logger = logging.getLogger(__name__)
HERE = os.path.abspath(os.path.dirname(__file__))
MESH_MAPPINGS_PATH = os.path.join(HERE, 'mesh_mappings.tsv')
resource_dir = pystow.join('gilda', __version__)
GROUNDING_TERMS_BASE_... | true | true |
f733a4ab524b61a9d3221a0d312b6a6eb8c4d96e | 2,394 | py | Python | zoomus/components/report.py | ROMBOTics/zoomus | ee3f8956dcdb0b58367e413bccb6cab0b5b99b83 | [
"Apache-2.0"
] | null | null | null | zoomus/components/report.py | ROMBOTics/zoomus | ee3f8956dcdb0b58367e413bccb6cab0b5b99b83 | [
"Apache-2.0"
] | null | null | null | zoomus/components/report.py | ROMBOTics/zoomus | ee3f8956dcdb0b58367e413bccb6cab0b5b99b83 | [
"Apache-2.0"
] | null | null | null | """Zoom.us REST API Python Client -- Report component"""
from __future__ import absolute_import
from zoomus import util
from zoomus.components import base
class ReportComponent(base.BaseComponent):
"""Component dealing with all report related matters"""
def get_account_report(self, **kwargs):
util.... | 40.576271 | 107 | 0.664996 |
from __future__ import absolute_import
from zoomus import util
from zoomus.components import base
class ReportComponent(base.BaseComponent):
def get_account_report(self, **kwargs):
util.require_keys(kwargs, ["start_time", "end_time"], kwargs)
kwargs["from"] = util.date_to_str(kwargs["start_time... | true | true |
f733a55a8170ce1efb00e13a130b28157800c40a | 374 | py | Python | test_project/apps/cds/admin.py | int-y1/dmoj-wpadmin | 81a9ccd476830e9467d209ba98d348daca040d2a | [
"MIT"
] | 4 | 2017-11-17T21:42:39.000Z | 2022-02-17T23:35:05.000Z | test_project/apps/cds/admin.py | int-y1/dmoj-wpadmin | 81a9ccd476830e9467d209ba98d348daca040d2a | [
"MIT"
] | 3 | 2017-11-20T18:08:30.000Z | 2019-09-04T19:40:55.000Z | test_project/apps/cds/admin.py | int-y1/dmoj-wpadmin | 81a9ccd476830e9467d209ba98d348daca040d2a | [
"MIT"
] | 9 | 2016-11-15T13:46:00.000Z | 2021-11-09T04:27:01.000Z | from django.contrib import admin
class CdCategoryAdmin(admin.ModelAdmin):
pass
class CdAdmin(admin.ModelAdmin):
pass
class UserCdAdmin(admin.ModelAdmin):
def get_queryset(self, request):
"""
Show only current user's objects.
"""
qs = super(UserCdAdmin, self).queryset(r... | 17.809524 | 55 | 0.665775 | from django.contrib import admin
class CdCategoryAdmin(admin.ModelAdmin):
pass
class CdAdmin(admin.ModelAdmin):
pass
class UserCdAdmin(admin.ModelAdmin):
def get_queryset(self, request):
qs = super(UserCdAdmin, self).queryset(request)
return qs.filter(owner=request.user)
| true | true |
f733a583fa3db787f40f40a07138e1bc8afad912 | 3,616 | py | Python | python3/barchart3.py | iceihehe/pipeg | c5ed0a3bde23862bc4fffb0751df0bd2c0334a90 | [
"MIT"
] | null | null | null | python3/barchart3.py | iceihehe/pipeg | c5ed0a3bde23862bc4fffb0751df0bd2c0334a90 | [
"MIT"
] | null | null | null | python3/barchart3.py | iceihehe/pipeg | c5ed0a3bde23862bc4fffb0751df0bd2c0334a90 | [
"MIT"
] | 2 | 2020-01-31T15:17:27.000Z | 2020-05-28T13:49:53.000Z | #!/usr/bin/env python3
# Copyright © 2012-13 Qtrac Ltd. All rights reserved.
# This program or module is free software: you can redistribute it
# and/or modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any ... | 29.398374 | 74 | 0.634956 |
import abc
import os
import re
import tempfile
import Qtrac
try:
import cyImage as Image
except ImportError:
import Image
def main():
pairs = (("Mon", 16), ("Tue", 17), ("Wed", 19), ("Thu", 22),
("Fri", 24), ("Sat", 21), ("Sun", 19))
textBarCharter = BarCharter(TextBarRenderer()... | true | true |
f733a58f07b491a8ffaa457c1e4b312d3027bea5 | 473 | py | Python | examples/sklearn_logistic_regression/train.py | iPieter/kiwi | 76b66872fce68873809a0dea112e2ed552ae5b63 | [
"Apache-2.0"
] | null | null | null | examples/sklearn_logistic_regression/train.py | iPieter/kiwi | 76b66872fce68873809a0dea112e2ed552ae5b63 | [
"Apache-2.0"
] | 1 | 2021-01-24T13:34:51.000Z | 2021-01-24T13:34:51.000Z | examples/sklearn_logistic_regression/train.py | iPieter/kiwi | 76b66872fce68873809a0dea112e2ed552ae5b63 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from sklearn.linear_model import LogisticRegression
import kiwi
import kiwi.sklearn
if __name__ == "__main__":
X = np.array([-2, -1, 0, 1, 2, 1]).reshape(-1, 1)
y = np.array([0, 0, 1, 1, 1, 0])
lr = LogisticRegression()
lr.fit(X, y)
score = lr.score(X, y)
print("Score: %s" %... | 27.823529 | 68 | 0.632135 | import numpy as np
from sklearn.linear_model import LogisticRegression
import kiwi
import kiwi.sklearn
if __name__ == "__main__":
X = np.array([-2, -1, 0, 1, 2, 1]).reshape(-1, 1)
y = np.array([0, 0, 1, 1, 1, 0])
lr = LogisticRegression()
lr.fit(X, y)
score = lr.score(X, y)
print("Score: %s" %... | true | true |
f733a5c43dfb3635c0debe9c082e090f349107b6 | 19,762 | py | Python | pandas/core/computation/pytables.py | cf-vrgl/pandas | 6f18ef68903591a18507f42763c862333d5470d9 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 2 | 2021-08-06T14:27:43.000Z | 2021-08-06T14:27:56.000Z | pandas/core/computation/pytables.py | ra1nty/pandas | 0b68d87a4438a13f14a2ed5af2e432df02eb0b2c | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | pandas/core/computation/pytables.py | ra1nty/pandas | 0b68d87a4438a13f14a2ed5af2e432df02eb0b2c | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-06-22T14:36:40.000Z | 2021-06-22T14:36:40.000Z | """ manage PyTables query interface via Expressions """
from __future__ import annotations
import ast
from functools import partial
from typing import Any
import numpy as np
from pandas._libs.tslibs import (
Timedelta,
Timestamp,
)
from pandas.compat.chainmap import DeepChainMap
from pandas.core.dtypes.comm... | 30.125 | 88 | 0.565985 | from __future__ import annotations
import ast
from functools import partial
from typing import Any
import numpy as np
from pandas._libs.tslibs import (
Timedelta,
Timestamp,
)
from pandas.compat.chainmap import DeepChainMap
from pandas.core.dtypes.common import is_list_like
import pandas.core.common as com... | true | true |
f733a73235b8fa505092ef970dc371a7512d47b3 | 67 | py | Python | classes/a/b.py | yubang/urlHander | 214ff33a9b6e96adf41a0176a86a62e0be335ef0 | [
"Apache-2.0"
] | null | null | null | classes/a/b.py | yubang/urlHander | 214ff33a9b6e96adf41a0176a86a62e0be335ef0 | [
"Apache-2.0"
] | null | null | null | classes/a/b.py | yubang/urlHander | 214ff33a9b6e96adf41a0176a86a62e0be335ef0 | [
"Apache-2.0"
] | null | null | null | #coding:UTF-8
class B():
def __init__(self,Data):
pass | 13.4 | 28 | 0.58209 |
class B():
def __init__(self,Data):
pass | true | true |
f733a7e1c1424f0decd52a9fc3f662cc5c5d53e3 | 896 | py | Python | python/hash_table/1200_minimum_absolute_difference.py | linshaoyong/leetcode | ea052fad68a2fe0cbfa5469398508ec2b776654f | [
"MIT"
] | 6 | 2019-07-15T13:23:57.000Z | 2020-01-22T03:12:01.000Z | python/hash_table/1200_minimum_absolute_difference.py | linshaoyong/leetcode | ea052fad68a2fe0cbfa5469398508ec2b776654f | [
"MIT"
] | null | null | null | python/hash_table/1200_minimum_absolute_difference.py | linshaoyong/leetcode | ea052fad68a2fe0cbfa5469398508ec2b776654f | [
"MIT"
] | 1 | 2019-07-24T02:15:31.000Z | 2019-07-24T02:15:31.000Z | class Solution(object):
def minimumAbsDifference(self, arr):
"""
:type arr: List[int]
:rtype: List[List[int]]
"""
if len(arr) < 2:
return []
sa = sorted(arr)
min_diff = sa[1] - sa[0]
res = [[sa[0], sa[1]]]
for i in range(1, len(sa) ... | 30.896552 | 75 | 0.4375 | class Solution(object):
def minimumAbsDifference(self, arr):
if len(arr) < 2:
return []
sa = sorted(arr)
min_diff = sa[1] - sa[0]
res = [[sa[0], sa[1]]]
for i in range(1, len(sa) - 1):
v = sa[i + 1] - sa[i]
if v < min_diff:
... | true | true |
f733a82ce344d6f5f6181ef651b99b56a1adb95d | 889 | py | Python | moonstone/parsers/counts/taxonomy/kraken2.py | motleystate/moonstone | 37c38fabf361722f7002626ef13c68c443ace4ac | [
"MIT"
] | null | null | null | moonstone/parsers/counts/taxonomy/kraken2.py | motleystate/moonstone | 37c38fabf361722f7002626ef13c68c443ace4ac | [
"MIT"
] | 84 | 2020-07-27T13:01:12.000Z | 2022-03-16T17:10:23.000Z | moonstone/parsers/counts/taxonomy/kraken2.py | motleystate/moonstone | 37c38fabf361722f7002626ef13c68c443ace4ac | [
"MIT"
] | null | null | null | from pandas import DataFrame
from moonstone.parsers.counts.taxonomy.base import BaseTaxonomyCountsParser
class SunbeamKraken2Parser(BaseTaxonomyCountsParser):
"""
Parse output from `Kraken2 <https://ccb.jhu.edu/software/kraken2/>`_
merge table from `Sunbeam <https://github.com/sunbeam-labs/sunbeam/>`_ pi... | 35.56 | 84 | 0.692913 | from pandas import DataFrame
from moonstone.parsers.counts.taxonomy.base import BaseTaxonomyCountsParser
class SunbeamKraken2Parser(BaseTaxonomyCountsParser):
taxa_column = 'Consensus Lineage'
new_otu_id_name = 'NCBI_taxonomy_ID'
def __init__(self, *args, **kwargs):
super().__init__(*args, pars... | true | true |
f733a90584d0b7cdc7abb81d032882724c186521 | 10,849 | py | Python | server/app/services/tasks_scheduler/async_tasks/app/excels/devices_import.py | goodfree/ActorCloud | e8db470830ea6f6f208ad43c2e56a2e8976bc468 | [
"Apache-2.0"
] | 173 | 2019-06-10T07:14:49.000Z | 2022-03-31T08:42:36.000Z | server/app/services/tasks_scheduler/async_tasks/app/excels/devices_import.py | zlyz12345/ActorCloud | 9c34b371c23464981323ef9865d9913bde1fe09c | [
"Apache-2.0"
] | 27 | 2019-06-12T08:25:29.000Z | 2022-02-26T11:37:15.000Z | server/app/services/tasks_scheduler/async_tasks/app/excels/devices_import.py | zlyz12345/ActorCloud | 9c34b371c23464981323ef9865d9913bde1fe09c | [
"Apache-2.0"
] | 67 | 2019-06-10T08:40:05.000Z | 2022-03-09T03:43:56.000Z | import json
import logging
from collections import defaultdict
from datetime import datetime
from typing import Dict, AnyStr
import pandas as pd
from actor_libs.database.async_db import db
from actor_libs.tasks.backend import update_task
from actor_libs.tasks.exceptions import TaskException
from actor_libs.utils impo... | 36.284281 | 86 | 0.657019 | import json
import logging
from collections import defaultdict
from datetime import datetime
from typing import Dict, AnyStr
import pandas as pd
from actor_libs.database.async_db import db
from actor_libs.tasks.backend import update_task
from actor_libs.tasks.exceptions import TaskException
from actor_libs.utils impo... | true | true |
f733a91e095b06f619e764c15a427c4e402a3796 | 860 | py | Python | suzieq/engines/pandas/__init__.py | LucaNicosia/suzieq | c281807ea2c4f44a9d6cd6c80fd5b71277b3cdcd | [
"Apache-2.0"
] | null | null | null | suzieq/engines/pandas/__init__.py | LucaNicosia/suzieq | c281807ea2c4f44a9d6cd6c80fd5b71277b3cdcd | [
"Apache-2.0"
] | null | null | null | suzieq/engines/pandas/__init__.py | LucaNicosia/suzieq | c281807ea2c4f44a9d6cd6c80fd5b71277b3cdcd | [
"Apache-2.0"
] | null | null | null | import os
from importlib.util import find_spec
from importlib import import_module
import inspect
def get_engine_object(table, baseobj):
'''Return the appropriate class object to operate on the specified table'''
spec = find_spec('suzieq.engines.pandas')
for file in spec.loader.contents():
if (os.... | 34.4 | 79 | 0.603488 | import os
from importlib.util import find_spec
from importlib import import_module
import inspect
def get_engine_object(table, baseobj):
spec = find_spec('suzieq.engines.pandas')
for file in spec.loader.contents():
if (os.path.isfile(f'{os.path.dirname(spec.loader.path)}/{file}') and
n... | true | true |
f733aa021ea1d0b422473d9514c4cc7fd6b246d6 | 1,306 | py | Python | stats/defense.py | micka59200/Python-Baseball | dda463b1ba49e70dab676d1d3e57edc8238d0df6 | [
"MIT"
] | null | null | null | stats/defense.py | micka59200/Python-Baseball | dda463b1ba49e70dab676d1d3e57edc8238d0df6 | [
"MIT"
] | null | null | null | stats/defense.py | micka59200/Python-Baseball | dda463b1ba49e70dab676d1d3e57edc8238d0df6 | [
"MIT"
] | null | null | null | import pandas as pd
import matplotlib.pyplot as plt
from frames import games, info, events
plays = games.query("type == 'play' & event != 'NP'")
plays.columns = ['type', 'inning', 'team', 'player', 'count', 'pitches', 'event', 'game_id', 'year']
pa = plays.loc[plays['player'].shift() != plays['player'], ['year', 'gam... | 52.24 | 143 | 0.641654 | import pandas as pd
import matplotlib.pyplot as plt
from frames import games, info, events
plays = games.query("type == 'play' & event != 'NP'")
plays.columns = ['type', 'inning', 'team', 'player', 'count', 'pitches', 'event', 'game_id', 'year']
pa = plays.loc[plays['player'].shift() != plays['player'], ['year', 'gam... | true | true |
f733aa2c6257379ee86445b98495e3b69e2b1b43 | 964 | py | Python | ciscodnacnautobot/navigation.py | joakimnyden/ciscodnacnautobot | 1c95f8b9205c389505afc85579e1c61d78b333a5 | [
"BSD-Source-Code"
] | 2 | 2021-04-15T07:26:12.000Z | 2022-01-24T09:38:29.000Z | ciscodnacnautobot/navigation.py | joakimnyden/ciscodnacnautobot | 1c95f8b9205c389505afc85579e1c61d78b333a5 | [
"BSD-Source-Code"
] | null | null | null | ciscodnacnautobot/navigation.py | joakimnyden/ciscodnacnautobot | 1c95f8b9205c389505afc85579e1c61d78b333a5 | [
"BSD-Source-Code"
] | null | null | null | #from extras.plugins import PluginMenuButton, PluginMenuItem
from nautobot.extras.plugins import PluginMenuButton, PluginMenuItem
#from utilities.choices import ButtonColorChoices
from nautobot.utilities.choices import ButtonColorChoices
menu_items = (
PluginMenuItem(
link="plugins:ciscodnacnautobot:statu... | 32.133333 | 68 | 0.591286 |
from nautobot.extras.plugins import PluginMenuButton, PluginMenuItem
from nautobot.utilities.choices import ButtonColorChoices
menu_items = (
PluginMenuItem(
link="plugins:ciscodnacnautobot:status",
link_text="Status",
permissions=["admin"],
buttons=(
PluginMenuButton... | true | true |
f733aad2a6bc5212c2f7db3edbf36799214f09e5 | 1,004 | py | Python | Reversing/HotelDoorPuzzle/solve.py | HackUCF/SunshineCTF-2020-Public | 2a57c425784a9940a4a817489b41d630d24e3cf7 | [
"MIT"
] | 7 | 2020-11-12T13:26:44.000Z | 2020-11-14T05:56:32.000Z | Reversing/HotelDoorPuzzle/solve.py | HackUCF/SunshineCTF-2020-Public | 2a57c425784a9940a4a817489b41d630d24e3cf7 | [
"MIT"
] | null | null | null | Reversing/HotelDoorPuzzle/solve.py | HackUCF/SunshineCTF-2020-Public | 2a57c425784a9940a4a817489b41d630d24e3cf7 | [
"MIT"
] | 1 | 2020-12-08T17:04:46.000Z | 2020-12-08T17:04:46.000Z | # Angr script written by other people
import angr
import claripy
FLAG_LEN = 29
STDIN_FD = 0
# base_addr = 0x100000 # To match addresses to Ghidra
base_addr = 0
proj = angr.Project("./attachments/hotel_key_puzzle", main_opts={'base_addr': base_addr})
flag_chars = [claripy.BVS('sun{%d}' % i, 8) for i in range(FLAG_L... | 28.685714 | 99 | 0.699203 |
import angr
import claripy
FLAG_LEN = 29
STDIN_FD = 0
oject("./attachments/hotel_key_puzzle", main_opts={'base_addr': base_addr})
flag_chars = [claripy.BVS('sun{%d}' % i, 8) for i in range(FLAG_LEN)]
flag = claripy.Concat( *flag_chars + [claripy.BVV(b'\n')])
state = proj.factory.full_init_state(
args=['.... | true | true |
f733abcf753b5409efd7aae6465fe22be626b10b | 3,276 | py | Python | app/airtable/base_school_db/typeform_start_a_school.py | WildflowerSchools/wf-airtable-api | 963021e5108462d33efa222fedb00890e1788ad6 | [
"MIT"
] | null | null | null | app/airtable/base_school_db/typeform_start_a_school.py | WildflowerSchools/wf-airtable-api | 963021e5108462d33efa222fedb00890e1788ad6 | [
"MIT"
] | null | null | null | app/airtable/base_school_db/typeform_start_a_school.py | WildflowerSchools/wf-airtable-api | 963021e5108462d33efa222fedb00890e1788ad6 | [
"MIT"
] | null | null | null | from datetime import datetime
from typing import Optional
from pydantic import BaseModel, Field
from app.airtable.response import AirtableResponse
class CreateAirtableSSJTypeformStartASchool(BaseModel):
first_name: str = Field(alias="First Name")
last_name: str = Field(alias="Last Name")
email: str = Fi... | 58.5 | 119 | 0.778999 | from datetime import datetime
from typing import Optional
from pydantic import BaseModel, Field
from app.airtable.response import AirtableResponse
class CreateAirtableSSJTypeformStartASchool(BaseModel):
first_name: str = Field(alias="First Name")
last_name: str = Field(alias="Last Name")
email: str = Fi... | true | true |
f733ac757dfd39afd2ebc244aed5f4a231c49aab | 11,619 | py | Python | corehq/motech/repeaters/repeater_generators.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | null | null | null | corehq/motech/repeaters/repeater_generators.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | null | null | null | corehq/motech/repeaters/repeater_generators.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | null | null | null | import json
import warnings
from collections import namedtuple
from datetime import datetime
from uuid import uuid4
from django.core.serializers.json import DjangoJSONEncoder
from django.utils.translation import ugettext_lazy as _
from casexml.apps.case.xform import get_case_ids_from_form
from casexml.apps.case.xml i... | 34.580357 | 97 | 0.691626 | import json
import warnings
from collections import namedtuple
from datetime import datetime
from uuid import uuid4
from django.core.serializers.json import DjangoJSONEncoder
from django.utils.translation import ugettext_lazy as _
from casexml.apps.case.xform import get_case_ids_from_form
from casexml.apps.case.xml i... | true | true |
f733addf00b5daaa12cd2878c7c980cfb081f7b0 | 450 | py | Python | sdk/python/pulumi_ucloud/unet/__init__.py | AaronFriel/pulumi-ucloud | 199278786dddf46bdd370f3f805e30b279c63ff2 | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2021-08-18T04:55:38.000Z | 2021-09-08T07:59:24.000Z | sdk/python/pulumi_ucloud/unet/__init__.py | AaronFriel/pulumi-ucloud | 199278786dddf46bdd370f3f805e30b279c63ff2 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2022-01-28T17:59:37.000Z | 2022-01-29T03:44:09.000Z | sdk/python/pulumi_ucloud/unet/__init__.py | AaronFriel/pulumi-ucloud | 199278786dddf46bdd370f3f805e30b279c63ff2 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-06-23T07:10:40.000Z | 2021-06-23T09:25:12.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from .. import _utilities
import typing
# Export this package's modules as members:
from .eip import *
from .eipassociation import *
fr... | 30 | 87 | 0.74 |
from .. import _utilities
import typing
# Export this package's modules as members:
from .eip import *
from .eipassociation import *
from .get_eip import *
from .get_security_group import *
from .security_group import *
from ._inputs import *
from . import outputs
| true | true |
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