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class |
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08ff555917ea95fb44e21716f11f204f648a1a7a | 1,425 | py | Python | ooobuild/dyn/datatransfer/clipboard/x_clipboard_ex.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/dyn/datatransfer/clipboard/x_clipboard_ex.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/dyn/datatransfer/clipboard/x_clipboard_ex.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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 applicab... | 38.513514 | 96 | 0.774737 | from typing import TYPE_CHECKING
from ooo.oenv.env_const import UNO_ENVIRONMENT, UNO_RUNTIME
_DYNAMIC = False
if (not TYPE_CHECKING) and UNO_RUNTIME and UNO_ENVIRONMENT:
_DYNAMIC = True
if not TYPE_CHECKING and _DYNAMIC:
from com.sun.star.datatransfer.clipboard import XClipboardEx as XClipboardEx
setattr(X... | true | true |
08ff568e3761fd55c461e0e9d51a958da304e590 | 423 | py | Python | contests/atcoder/abc226/b.py | conao3/coder | 2cdb610fec013da88a3470d460108e8a9b462445 | [
"CC0-1.0"
] | null | null | null | contests/atcoder/abc226/b.py | conao3/coder | 2cdb610fec013da88a3470d460108e8a9b462445 | [
"CC0-1.0"
] | null | null | null | contests/atcoder/abc226/b.py | conao3/coder | 2cdb610fec013da88a3470d460108e8a9b462445 | [
"CC0-1.0"
] | null | null | null | N = int(input())
L = [0 for _ in range(N)]
a = [[] for _ in range(N)]
for i in range(N):
tmp = list(map(int, input().split()))
L[i] = tmp[0]
a[i] = tmp[1:]
cache = []
cache_sum = []
for i in range(N):
if sum(a[i]) not in cache_sum:
cache.append(a[i])
cache_sum.append(sum(a[i]))
eli... | 20.142857 | 41 | 0.531915 | N = int(input())
L = [0 for _ in range(N)]
a = [[] for _ in range(N)]
for i in range(N):
tmp = list(map(int, input().split()))
L[i] = tmp[0]
a[i] = tmp[1:]
cache = []
cache_sum = []
for i in range(N):
if sum(a[i]) not in cache_sum:
cache.append(a[i])
cache_sum.append(sum(a[i]))
eli... | true | true |
08ff56eb9287be16db884afd8e0fe0de09b3c88c | 1,859 | py | Python | openproblems/patch.py | scottgigante/SingleCellOpenProblems | f7ce88881e49d130354720f92260d41d0009c4b5 | [
"MIT"
] | 1 | 2021-04-23T10:01:25.000Z | 2021-04-23T10:01:25.000Z | openproblems/patch.py | scottgigante/SingleCellOpenProblems | f7ce88881e49d130354720f92260d41d0009c4b5 | [
"MIT"
] | null | null | null | openproblems/patch.py | scottgigante/SingleCellOpenProblems | f7ce88881e49d130354720f92260d41d0009c4b5 | [
"MIT"
] | null | null | null | from . import utils
import anndata
import contextlib
import logging
import subprocess
import tempfile
log = logging.getLogger("openproblems")
def _write_h5ad_patch(self, *args, **kwargs):
self.obs.columns = self.obs.columns.astype(str)
self.var.columns = self.var.columns.astype(str)
self._write_h5ad(*ar... | 25.819444 | 74 | 0.684777 | from . import utils
import anndata
import contextlib
import logging
import subprocess
import tempfile
log = logging.getLogger("openproblems")
def _write_h5ad_patch(self, *args, **kwargs):
self.obs.columns = self.obs.columns.astype(str)
self.var.columns = self.var.columns.astype(str)
self._write_h5ad(*ar... | true | true |
08ff5725849fac4247b729755f509bb614af627a | 103 | py | Python | inheritance/lab/hierarchical_inheritance/project/cat.py | Minkov/python-oop | db9651eef374c0e74c32cb6f2bf07c734cc1d051 | [
"MIT"
] | 3 | 2021-11-16T04:52:53.000Z | 2022-02-07T20:28:41.000Z | inheritance/lab/hierarchical_inheritance/project/cat.py | Minkov/python-oop | db9651eef374c0e74c32cb6f2bf07c734cc1d051 | [
"MIT"
] | null | null | null | inheritance/lab/hierarchical_inheritance/project/cat.py | Minkov/python-oop | db9651eef374c0e74c32cb6f2bf07c734cc1d051 | [
"MIT"
] | 1 | 2021-12-07T07:04:38.000Z | 2021-12-07T07:04:38.000Z | from project.animal import Animal
class Cat(Animal):
def meow(self):
return 'meowing...'
| 14.714286 | 33 | 0.650485 | from project.animal import Animal
class Cat(Animal):
def meow(self):
return 'meowing...'
| true | true |
08ff575d4314684a7aa50aeafc9ee4570e5e9049 | 77 | py | Python | generalvector/__init__.py | ManderaGeneral/generalvector | f604fbe5c5f006f0ccdcb67b64e7ecfc615efc40 | [
"MIT"
] | null | null | null | generalvector/__init__.py | ManderaGeneral/generalvector | f604fbe5c5f006f0ccdcb67b64e7ecfc615efc40 | [
"MIT"
] | null | null | null | generalvector/__init__.py | ManderaGeneral/generalvector | f604fbe5c5f006f0ccdcb67b64e7ecfc615efc40 | [
"MIT"
] | null | null | null |
from generalvector.vector2 import Vec2
from generalvector.vector import Vec
| 19.25 | 38 | 0.857143 |
from generalvector.vector2 import Vec2
from generalvector.vector import Vec
| true | true |
08ff57daf81ca3b63ddb833eaf6ad4b1c9a6a724 | 2,084 | py | Python | Forritun/Forritun 3/timaverkefni1klasar_einar.py | EinarK2/einark2.github.io | ec121871d381fe62e29573e67b57baf80f31e90d | [
"CC-BY-4.0"
] | null | null | null | Forritun/Forritun 3/timaverkefni1klasar_einar.py | EinarK2/einark2.github.io | ec121871d381fe62e29573e67b57baf80f31e90d | [
"CC-BY-4.0"
] | null | null | null | Forritun/Forritun 3/timaverkefni1klasar_einar.py | EinarK2/einark2.github.io | ec121871d381fe62e29573e67b57baf80f31e90d | [
"CC-BY-4.0"
] | 1 | 2018-09-12T15:12:34.000Z | 2018-09-12T15:12:34.000Z | # Einar Karl Pétursson
# 27/9/2019
class Account:
def __init__(self, balance):
self.balance = balance
def credit(self, amount):
self.balance = self.balance + amount
print("Transaction completed. Current balance:", self.balance)
# add an amount to the current balance
def de... | 35.322034 | 92 | 0.634357 |
class Account:
def __init__(self, balance):
self.balance = balance
def credit(self, amount):
self.balance = self.balance + amount
print("Transaction completed. Current balance:", self.balance)
def debit(self, amount):
if self.balance - amount >= 0:
self... | true | true |
08ff5882d01ef4f535a01899fb2a7bfec47d7c34 | 12,274 | py | Python | twisted/spread/banana.py | hawkowl/twisted | c413aac3888dea2202c0dc26f978d7f88b4b837a | [
"Unlicense",
"MIT"
] | null | null | null | twisted/spread/banana.py | hawkowl/twisted | c413aac3888dea2202c0dc26f978d7f88b4b837a | [
"Unlicense",
"MIT"
] | null | null | null | twisted/spread/banana.py | hawkowl/twisted | c413aac3888dea2202c0dc26f978d7f88b4b837a | [
"Unlicense",
"MIT"
] | null | null | null | # -*- test-case-name: twisted.test.test_banana -*-
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Banana -- s-exp based protocol.
Future Plans: This module is almost entirely stable. The same caveat applies
to it as applies to L{twisted.spread.jelly}, however. Read its future plans
for ... | 30.916877 | 116 | 0.529412 |
import copy, struct
from io import BytesIO
from twisted.internet import protocol
from twisted.persisted import styles
from twisted.python import log
from twisted.python.compat import iterbytes, long, _bytesChr as chr
from twisted.python.reflect import fullyQualifiedName
class BananaError(Exception):
pass
def i... | true | true |
08ff595424377d818f7b9d6bb30f5d372bb57826 | 6,934 | py | Python | sleap/nn/data/utils.py | hectorcarrion/sleap | 1150c2d0b64543e07d4b2429ea245a5afaa07cee | [
"BSD-3-Clause-Clear"
] | 156 | 2020-05-01T18:43:43.000Z | 2022-03-25T10:31:18.000Z | sleap/nn/data/utils.py | oeway/sleap | 1eb06f81eb8f0bc1beedd1c3dd10902f8ff9e724 | [
"BSD-3-Clause-Clear"
] | 299 | 2020-04-20T16:37:52.000Z | 2022-03-31T23:54:48.000Z | sleap/nn/data/utils.py | oeway/sleap | 1eb06f81eb8f0bc1beedd1c3dd10902f8ff9e724 | [
"BSD-3-Clause-Clear"
] | 41 | 2020-05-14T15:25:21.000Z | 2022-03-25T12:44:54.000Z | """Miscellaneous utility functions for data processing."""
import tensorflow as tf
import numpy as np
from typing import Any, List, Tuple, Dict, Text, Optional
def ensure_list(x: Any) -> List[Any]:
"""Convert the input into a list if it is not already."""
if not isinstance(x, list):
return [x]
re... | 39.397727 | 88 | 0.664696 |
import tensorflow as tf
import numpy as np
from typing import Any, List, Tuple, Dict, Text, Optional
def ensure_list(x: Any) -> List[Any]:
if not isinstance(x, list):
return [x]
return x
def expand_to_rank(x: tf.Tensor, target_rank: int, prepend: bool = True) -> tf.Tensor:
n_singleton_dims = tf... | true | true |
08ff59a0c4e43b7572f858eff639282327f60fb6 | 3,615 | py | Python | Backends/scripts/BOSS/configs/pythia_8_212.py | aaronvincent/gambit_aaron | a38bd6fc10d781e71f2adafd401c76e1e3476b05 | [
"Unlicense"
] | 1 | 2019-01-21T19:59:18.000Z | 2019-01-21T19:59:18.000Z | Backends/scripts/BOSS/configs/pythia_8_212.py | aaronvincent/gambit_aaron | a38bd6fc10d781e71f2adafd401c76e1e3476b05 | [
"Unlicense"
] | 4 | 2019-10-06T14:03:41.000Z | 2020-08-06T11:53:54.000Z | Backends/scripts/BOSS/configs/pythia_8_212.py | aaronvincent/gambit_aaron | a38bd6fc10d781e71f2adafd401c76e1e3476b05 | [
"Unlicense"
] | null | null | null | ###################################
# #
# Configuration module for BOSS #
# #
###################################
# ~~~~~ CASTXML options ~~~~~
# See CastXML documentation for details on these options:
#
# https://github.com/CastXML/CastXML/blob/mas... | 27.59542 | 124 | 0.637344 |
castxml_cc_id = 'gnu' castxml_cc = 'g++' castxml_cc_opt = '-std=c++11'
gambit_backend_name = 'Pythia'
gambit_backend_version = '8.212'
gambit_base_namespace = ''
input_files = ['../../../Backends/installed/pythia/'+gambit_backend_version+'/include/Pythia8/Pythia.h']
include_paths ... | true | true |
08ff59a3083243a6dedeecc1b96d27892a5379ca | 3,755 | py | Python | app/app_issue.py | whatifrussian/api | 4695b0c159ba4564a76e6faec2a04a3274356b5a | [
"Unlicense"
] | null | null | null | app/app_issue.py | whatifrussian/api | 4695b0c159ba4564a76e6faec2a04a3274356b5a | [
"Unlicense"
] | null | null | null | app/app_issue.py | whatifrussian/api | 4695b0c159ba4564a76e6faec2a04a3274356b5a | [
"Unlicense"
] | null | null | null | import re
from traceback import format_exc
from flask import Blueprint, request
from flask import current_app as app
from github import GitHubAPI
from utils import get_base_dir, get_config, dump_to_json
from app_log import log_request
app_issue = Blueprint('issue', __name__)
gitHub = GitHubAPI(base_dir=get_base_dir()... | 33.526786 | 78 | 0.600533 | import re
from traceback import format_exc
from flask import Blueprint, request
from flask import current_app as app
from github import GitHubAPI
from utils import get_base_dir, get_config, dump_to_json
from app_log import log_request
app_issue = Blueprint('issue', __name__)
gitHub = GitHubAPI(base_dir=get_base_dir()... | true | true |
08ff5b095e3e304fc591f70eef21be00a56abd90 | 2,303 | py | Python | scripts/update_changelog.py | fullrobot/cookiecutter-django | 3a53dc09571335de9060db46756cefb0426d93ea | [
"BSD-3-Clause"
] | 8,899 | 2015-01-01T01:21:35.000Z | 2021-10-20T21:42:07.000Z | scripts/update_changelog.py | fullrobot/cookiecutter-django | 3a53dc09571335de9060db46756cefb0426d93ea | [
"BSD-3-Clause"
] | 1,707 | 2015-01-04T13:45:08.000Z | 2021-10-21T17:31:46.000Z | scripts/update_changelog.py | fullrobot/cookiecutter-django | 3a53dc09571335de9060db46756cefb0426d93ea | [
"BSD-3-Clause"
] | 3,023 | 2015-01-01T20:26:21.000Z | 2021-10-22T04:13:30.000Z | import os
from pathlib import Path
from github import Github
from jinja2 import Template
import datetime as dt
CURRENT_FILE = Path(__file__)
ROOT = CURRENT_FILE.parents[1]
GITHUB_TOKEN = os.getenv("GITHUB_TOKEN", None)
# Generate changelog for PRs merged yesterday
MERGED_DATE = dt.date.today() - dt.timedelta(days=1)
... | 29.151899 | 86 | 0.672167 | import os
from pathlib import Path
from github import Github
from jinja2 import Template
import datetime as dt
CURRENT_FILE = Path(__file__)
ROOT = CURRENT_FILE.parents[1]
GITHUB_TOKEN = os.getenv("GITHUB_TOKEN", None)
MERGED_DATE = dt.date.today() - dt.timedelta(days=1)
def main() -> None:
merged_pulls = list(... | true | true |
08ff5b12592cfe79b3fd172460fa0e6972a24a23 | 2,543 | py | Python | dbix/builder.py | alexbodn/python-dbix | 769298cc510a95437d9d7e7641b616b6aec97ced | [
"Apache-2.0"
] | null | null | null | dbix/builder.py | alexbodn/python-dbix | 769298cc510a95437d9d7e7641b616b6aec97ced | [
"Apache-2.0"
] | 3 | 2021-03-25T21:40:41.000Z | 2021-11-15T17:46:46.000Z | dbix/builder.py | alexbodn/python-dbix | 769298cc510a95437d9d7e7641b616b6aec97ced | [
"Apache-2.0"
] | null | null | null |
from __future__ import print_function
from future.utils import with_metaclass
import sys, os
from .perlconv import treeconv
class BuilderMetaClass(type):
@property
def load_namespaces(self):
if not self.__load_namespaces__:
return
pytext = treeconv(
os.path.dirname(self.__sourcepath__),
self.__sou... | 23.990566 | 72 | 0.692882 |
from __future__ import print_function
from future.utils import with_metaclass
import sys, os
from .perlconv import treeconv
class BuilderMetaClass(type):
@property
def load_namespaces(self):
if not self.__load_namespaces__:
return
pytext = treeconv(
os.path.dirname(self.__sourcepath__),
self.__sou... | true | true |
08ff5c0688f48fcea96b3cf8a1ff68e95faaf397 | 2,141 | wsgi | Python | salt/moin/configs/moin.wsgi | ammaraskar/psf-salt | a1ec8511a2d2d242cd6ffe174bfe4b9c2fb26c5e | [
"MIT"
] | 103 | 2015-01-26T22:22:29.000Z | 2022-03-09T06:18:19.000Z | salt/moin/configs/moin.wsgi | ammaraskar/psf-salt | a1ec8511a2d2d242cd6ffe174bfe4b9c2fb26c5e | [
"MIT"
] | 97 | 2015-01-08T16:02:04.000Z | 2022-03-23T08:53:20.000Z | salt/moin/configs/moin.wsgi | ammaraskar/psf-salt | a1ec8511a2d2d242cd6ffe174bfe4b9c2fb26c5e | [
"MIT"
] | 72 | 2015-01-12T16:49:11.000Z | 2022-03-10T03:26:08.000Z | # -*- coding: iso-8859-1 -*-
"""
MoinMoin - mod_wsgi driver script
To use this, add those statements to your Apache's VirtualHost definition:
# you will invoke your moin wiki at the root url, like http://servername/FrontPage:
WSGIScriptAlias / /some/path/moin.wsgi
# create some wsgi daemons -... | 40.396226 | 118 | 0.747314 |
import sys, os
# If you already have set up the PYTHONPATH environment variable for the
# stuff you see below, you don't need to do a1) and a2).
#sys.path.insert(0, 'PREFIX/lib/python2.3/site-packages')
# a2) Path of the directory where wikiconfig.py / farmconfig.py is located.
# See wiki/config/... for s... | true | true |
08ff5c6d52137259f0b356bab7622e008ccccd56 | 38,817 | py | Python | django/template/base.py | mradziej/django | 5d38965743a369981c9a738a298f467f854a2919 | [
"BSD-3-Clause"
] | 1 | 2016-05-09T15:03:04.000Z | 2016-05-09T15:03:04.000Z | django/template/base.py | mradziej/django | 5d38965743a369981c9a738a298f467f854a2919 | [
"BSD-3-Clause"
] | null | null | null | django/template/base.py | mradziej/django | 5d38965743a369981c9a738a298f467f854a2919 | [
"BSD-3-Clause"
] | null | null | null | import imp
import re
from functools import partial
from inspect import getargspec
from django.conf import settings
from django.template.context import Context, RequestContext, ContextPopException
from django.utils.importlib import import_module
from django.utils.itercompat import is_iterable
from django.utils.function... | 37.944282 | 142 | 0.590669 | import imp
import re
from functools import partial
from inspect import getargspec
from django.conf import settings
from django.template.context import Context, RequestContext, ContextPopException
from django.utils.importlib import import_module
from django.utils.itercompat import is_iterable
from django.utils.function... | false | true |
08ff5c7d96547b65c0957ac2645cda96422df7c0 | 613 | py | Python | AlgoExpert-Array/FirstDuplicateValue.py | betaSolver05609/LeetCode | 0e7386e7ead80597e2893ec45f6dc6dfcd5d694b | [
"MIT"
] | null | null | null | AlgoExpert-Array/FirstDuplicateValue.py | betaSolver05609/LeetCode | 0e7386e7ead80597e2893ec45f6dc6dfcd5d694b | [
"MIT"
] | null | null | null | AlgoExpert-Array/FirstDuplicateValue.py | betaSolver05609/LeetCode | 0e7386e7ead80597e2893ec45f6dc6dfcd5d694b | [
"MIT"
] | null | null | null | #First Duplicate Value
#O(n) time and O(1) solution
#This Solution will only work if it is guarenteed that numbers in array
#will always be between 1 and n where n is the length of the array
def firstDuplicateValue(array):
# Write your code here.
for value in array:
absValue=abs(value)
if array[absValue-1]<... | 19.15625 | 71 | 0.693312 |
def firstDuplicateValue(array):
for value in array:
absValue=abs(value)
if array[absValue-1]<0:
return value
else:
array[absValue-1]*=-1
return []
def firstDuplicateValue(array):
HashMap={}
for i in range(len(array)):
if array[i] in HashMap:
return array[i]
else:
HashMap[arr... | false | true |
08ff5c825df1bc12896d476bdc459231bb893927 | 4,033 | py | Python | nba_api/stats/endpoints/videodetails.py | adureja/nba_api | 2e1f8ee55e513689aea410bf663a09a3d7c34283 | [
"MIT"
] | 1 | 2019-02-20T19:19:19.000Z | 2019-02-20T19:19:19.000Z | nba_api/stats/endpoints/videodetails.py | adureja/nba_api | 2e1f8ee55e513689aea410bf663a09a3d7c34283 | [
"MIT"
] | null | null | null | nba_api/stats/endpoints/videodetails.py | adureja/nba_api | 2e1f8ee55e513689aea410bf663a09a3d7c34283 | [
"MIT"
] | 2 | 2020-08-09T06:00:19.000Z | 2022-03-04T16:39:30.000Z | from nba_api.stats.endpoints._base import Endpoint
from nba_api.stats.library.http import NBAStatsHTTP
from nba_api.stats.library.parameters import ContextMeasureDetailed, LastNGames, Month, Period, Season, SeasonTypeAllStar, AheadBehindNullable, ClutchTimeNullable, EndPeriodNullable, EndRangeNullable, GameSegmentNulla... | 51.050633 | 429 | 0.626333 | from nba_api.stats.endpoints._base import Endpoint
from nba_api.stats.library.http import NBAStatsHTTP
from nba_api.stats.library.parameters import ContextMeasureDetailed, LastNGames, Month, Period, Season, SeasonTypeAllStar, AheadBehindNullable, ClutchTimeNullable, EndPeriodNullable, EndRangeNullable, GameSegmentNulla... | true | true |
08ff5cfe817ef82dc21312ddf41e9bec536b7280 | 380 | py | Python | catch/datasets/enterovirus_b.py | broadinstitute/catch | 2fedca15f921116f580de8b2ae7ac9972932e59e | [
"MIT"
] | 58 | 2018-01-24T16:31:37.000Z | 2022-02-25T07:46:35.000Z | catch/datasets/enterovirus_b.py | broadinstitute/catch | 2fedca15f921116f580de8b2ae7ac9972932e59e | [
"MIT"
] | 29 | 2018-04-17T17:36:06.000Z | 2022-02-25T11:48:58.000Z | catch/datasets/enterovirus_b.py | broadinstitute/catch | 2fedca15f921116f580de8b2ae7ac9972932e59e | [
"MIT"
] | 16 | 2018-05-23T12:19:41.000Z | 2021-08-09T04:16:00.000Z | """Dataset with 'Enterovirus B' sequences.
A dataset with 529 'Enterovirus B' genomes.
THIS PYTHON FILE WAS GENERATED BY A COMPUTER PROGRAM! DO NOT EDIT!
"""
import sys
from catch.datasets import GenomesDatasetSingleChrom
ds = GenomesDatasetSingleChrom(__name__, __file__, __spec__)
ds.add_fasta_path("data/enterov... | 23.75 | 66 | 0.786842 |
import sys
from catch.datasets import GenomesDatasetSingleChrom
ds = GenomesDatasetSingleChrom(__name__, __file__, __spec__)
ds.add_fasta_path("data/enterovirus_b.fasta.gz", relative=True)
sys.modules[__name__] = ds
| true | true |
08ff5d1bfb8c95875a9bc48fae0dc7e6e3a485b3 | 3,958 | py | Python | demo/http_logs/apps/loadgen.py | guylapid/materialize | 8629a120a5a628b6ef06f379b48ba723797db944 | [
"MIT"
] | 3,840 | 2020-02-13T18:28:21.000Z | 2022-03-31T17:25:04.000Z | demo/http_logs/apps/loadgen.py | guylapid/materialize | 8629a120a5a628b6ef06f379b48ba723797db944 | [
"MIT"
] | 5,802 | 2020-02-13T18:59:27.000Z | 2022-03-31T21:50:24.000Z | demo/http_logs/apps/loadgen.py | guylapid/materialize | 8629a120a5a628b6ef06f379b48ba723797db944 | [
"MIT"
] | 295 | 2020-02-13T18:49:32.000Z | 2022-03-30T10:55:12.000Z | #!/usr/bin/env python3
# Copyright Materialize, Inc. and contributors. All rights reserved.
#
# Use of this software is governed by the Business Source License
# included in the LICENSE file at the root of this repository.
#
# As of the Change Date specified in that file, in accordance with
# the Business Source Licen... | 26.039474 | 82 | 0.608893 |
import bisect
import random
import string
import sys
import time
from collections import namedtuple
from enum import Enum, auto
import numpy as np
import requests
class State(Enum):
GATEWAY = 0
SEARCH = auto()
DETAIL = auto()
QUIT = auto()
DO_NOTHING = auto()
def default_sampler():
return... | true | true |
08ff5eb1a29e05904c02f3fa1d9a93d6388587d2 | 201 | py | Python | hardware/misc/transpose-csv.py | cojocar/mfit | 4ade3002e41b3fa8d3ddf6b99a742a933502c194 | [
"MIT"
] | 3 | 2021-11-23T00:39:13.000Z | 2022-02-17T19:08:22.000Z | hardware/misc/transpose-csv.py | microsoft/mfit | 7a2401b5d3b6a3eb25df2ac23e8375e23595e57e | [
"MIT"
] | null | null | null | hardware/misc/transpose-csv.py | microsoft/mfit | 7a2401b5d3b6a3eb25df2ac23e8375e23595e57e | [
"MIT"
] | null | null | null | with open('../fault-injector-sim/simulate-inj.csv') as file:
lis = [x.replace('\n', '').split(';') for x in file]
for x in zip(*lis):
for y in x:
print(y + ', ', end="")
print('')
| 25.125 | 60 | 0.517413 | with open('../fault-injector-sim/simulate-inj.csv') as file:
lis = [x.replace('\n', '').split(';') for x in file]
for x in zip(*lis):
for y in x:
print(y + ', ', end="")
print('')
| true | true |
08ff5f3716061267f3b67a1b059688730f5e578a | 3,529 | py | Python | monai/losses/contrastive.py | tatuanb/monai_V1 | 41e492b61c78bb3c303f38b03fe9fdc74a3c2e96 | [
"Apache-2.0"
] | 1 | 2020-11-13T23:13:23.000Z | 2020-11-13T23:13:23.000Z | monai/losses/contrastive.py | tatuanb/monai_V1 | 41e492b61c78bb3c303f38b03fe9fdc74a3c2e96 | [
"Apache-2.0"
] | 2 | 2020-11-13T23:15:00.000Z | 2020-11-16T14:54:08.000Z | monai/losses/contrastive.py | tatuanb/monai_V1 | 41e492b61c78bb3c303f38b03fe9fdc74a3c2e96 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 - 2021 MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in wri... | 39.651685 | 113 | 0.668461 |
import torch
from torch.nn import functional as F
from torch.nn.modules.loss import _Loss
from monai.utils import deprecated_arg
class ContrastiveLoss(_Loss):
@deprecated_arg(name="reduction", since="0.8", msg_suffix="`reduction` is no longer supported.")
def __init__(self, temperature: float = 0.5, batch... | true | true |
08ff607c9a20e955614ed5a231cf66ae857debbe | 2,681 | py | Python | examples/simulation.py | pints-team/markov-builder | 7accb6e7bc64a2a2afa35d4594c3f4dc3284923c | [
"BSD-3-Clause"
] | 1 | 2018-09-21T10:15:34.000Z | 2018-09-21T10:15:34.000Z | examples/simulation.py | pints-team/markov-builder | 7accb6e7bc64a2a2afa35d4594c3f4dc3284923c | [
"BSD-3-Clause"
] | null | null | null | examples/simulation.py | pints-team/markov-builder | 7accb6e7bc64a2a2afa35d4594c3f4dc3284923c | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# Simulate data from the Beattie model and M10 model using a Gillespie
# algorithm output plots into examples/example_output or
# MARKOVBUILDER_EXAMPLE_OUTPUT if it exists
import logging
import os
import sys
import matplotlib.pyplot as plt
import pandas as pd
from markov_builder import exampl... | 33.098765 | 119 | 0.669153 |
import logging
import os
import sys
import matplotlib.pyplot as plt
import pandas as pd
from markov_builder import example_models
def main():
mc = example_models.construct_four_state_chain()
protocol = ((-80, 100), (20, 200))
SimulateStepProtocol(mc, protocol, name="Beattie")
def Simulat... | true | true |
08ff6092826fda810a51e27ff81ab016aefdd9d4 | 6,953 | py | Python | saleor/dashboard/forms.py | elwoodxblues/saleor | 5e4e4a4259a011d24b04ebd24c77c689de843fa1 | [
"CC-BY-4.0"
] | 8 | 2018-07-17T13:13:21.000Z | 2022-03-01T17:02:34.000Z | saleor/dashboard/forms.py | elwoodxblues/saleor | 5e4e4a4259a011d24b04ebd24c77c689de843fa1 | [
"CC-BY-4.0"
] | 13 | 2020-03-24T17:57:29.000Z | 2021-12-13T20:33:54.000Z | saleor/dashboard/forms.py | elwoodxblues/saleor | 5e4e4a4259a011d24b04ebd24c77c689de843fa1 | [
"CC-BY-4.0"
] | 1 | 2019-12-04T22:24:13.000Z | 2019-12-04T22:24:13.000Z | import json
from typing import Optional
from django import forms
from django.conf import settings
from django.core.exceptions import ValidationError
from django.db import models
from django_prices.forms import MoneyField
from draftjs_sanitizer import SafeJSONEncoder
from prices import Money
def set_initial_money(ins... | 34.59204 | 86 | 0.641306 | import json
from typing import Optional
from django import forms
from django.conf import settings
from django.core.exceptions import ValidationError
from django.db import models
from django_prices.forms import MoneyField
from draftjs_sanitizer import SafeJSONEncoder
from prices import Money
def set_initial_money(ins... | true | true |
08ff60df90c876eaf57c41964b924648c24539c0 | 16,215 | py | Python | models/local_model.py | hummat/if-net | 6eb6b3860159ba0a46167844020d8cbc7717fbb4 | [
"Unlicense"
] | null | null | null | models/local_model.py | hummat/if-net | 6eb6b3860159ba0a46167844020d8cbc7717fbb4 | [
"Unlicense"
] | null | null | null | models/local_model.py | hummat/if-net | 6eb6b3860159ba0a46167844020d8cbc7717fbb4 | [
"Unlicense"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
# 1D convolution is used for the decoder. It acts as a standard FC, but allows to use a batch of point samples features,
# additionally to the batch over the input objects.
# The dimensions are used as follows:
# batch_size (N) = #3D objects , channel... | 41.364796 | 120 | 0.569904 | import torch
import torch.nn as nn
import torch.nn.functional as F
class ShapeNet32Vox(nn.Module):
def __init__(self, hidden_dim=256):
super(ShapeNet32Vox, self).__init__()
self.conv_1 = nn.Conv3d(1, 32, 3, padding=1) self.conv_1_1 = nn.Conv3d(32, 64, 3, padding=1) self.conv_... | true | true |
08ff61aa584d89019d074ab34171c245952084d1 | 34,421 | py | Python | search/search_service/proxy/elasticsearch.py | kokizzu/amundsen | 710786443125e513f6d23ecda7442fe47a2a6523 | [
"Apache-2.0"
] | 1 | 2022-01-09T03:23:59.000Z | 2022-01-09T03:23:59.000Z | search/search_service/proxy/elasticsearch.py | kokizzu/amundsen | 710786443125e513f6d23ecda7442fe47a2a6523 | [
"Apache-2.0"
] | null | null | null | search/search_service/proxy/elasticsearch.py | kokizzu/amundsen | 710786443125e513f6d23ecda7442fe47a2a6523 | [
"Apache-2.0"
] | null | null | null | # Copyright Contributors to the Amundsen project.
# SPDX-License-Identifier: Apache-2.0
import logging
import uuid
from typing import (
Any, Dict, List, Union,
)
from amundsen_common.models.api import health_check
from amundsen_common.models.index_map import (
FEATURE_INDEX_MAP, TABLE_INDEX_MAP, USER_INDEX_MA... | 40.880048 | 144 | 0.534557 |
import logging
import uuid
from typing import (
Any, Dict, List, Union,
)
from amundsen_common.models.api import health_check
from amundsen_common.models.index_map import (
FEATURE_INDEX_MAP, TABLE_INDEX_MAP, USER_INDEX_MAP,
)
from amundsen_common.models.search import (
Filter, HighlightOptions, SearchRes... | true | true |
08ff61e4cc1f0942df3ec3ca855e6285030c0ebd | 1,667 | py | Python | apis/migrations/0001_initial.py | jeffshek/betterself | 51468253fc31373eb96e0e82189b9413f3d76ff5 | [
"MIT"
] | 98 | 2017-07-29T14:26:36.000Z | 2022-02-28T04:10:15.000Z | apis/migrations/0001_initial.py | jeffshek/betterself | 51468253fc31373eb96e0e82189b9413f3d76ff5 | [
"MIT"
] | 1,483 | 2017-05-30T00:05:56.000Z | 2022-03-31T12:37:06.000Z | apis/migrations/0001_initial.py | lawrendran/betterself | 51468253fc31373eb96e0e82189b9413f3d76ff5 | [
"MIT"
] | 13 | 2017-11-08T00:02:35.000Z | 2022-02-28T04:10:32.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2016-05-25 12:51
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migration... | 37.886364 | 121 | 0.622675 | from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations ... | true | true |
08ff6282cd7b6b74204f0ebf34229c924d49b9bb | 805 | py | Python | src/forums/serializers/posts.py | earth-emoji/august | 065d4b449a138ead1557293bffcb20cd2db90a41 | [
"BSD-2-Clause"
] | null | null | null | src/forums/serializers/posts.py | earth-emoji/august | 065d4b449a138ead1557293bffcb20cd2db90a41 | [
"BSD-2-Clause"
] | 10 | 2021-03-19T10:47:13.000Z | 2022-03-12T00:28:30.000Z | src/forums/serializers/posts.py | earth-emoji/august | 065d4b449a138ead1557293bffcb20cd2db90a41 | [
"BSD-2-Clause"
] | null | null | null | from django.utils import formats
from rest_framework import serializers
from accounts.models import Professional
from forums.models import Post, Topic
class PostSerializer(serializers.ModelSerializer):
author_pk = serializers.PrimaryKeyRelatedField(
queryset=Professional.objects.all(), source='author', wr... | 36.590909 | 113 | 0.725466 | from django.utils import formats
from rest_framework import serializers
from accounts.models import Professional
from forums.models import Post, Topic
class PostSerializer(serializers.ModelSerializer):
author_pk = serializers.PrimaryKeyRelatedField(
queryset=Professional.objects.all(), source='author', wr... | true | true |
08ff62986988957ffa5aa211bd4b70d9df09c3c3 | 543 | py | Python | 2016/day_16/16-1.py | zigapk/adventofcode | 693b03014ae1dc6c303e717b3d7e9b7658d6211b | [
"MIT"
] | null | null | null | 2016/day_16/16-1.py | zigapk/adventofcode | 693b03014ae1dc6c303e717b3d7e9b7658d6211b | [
"MIT"
] | null | null | null | 2016/day_16/16-1.py | zigapk/adventofcode | 693b03014ae1dc6c303e717b3d7e9b7658d6211b | [
"MIT"
] | null | null | null | import re
input_data = "00111101111101000"
length = 272
data = input_data
while len(data) < length:
a = data
b = a
b = b[::-1]
new_b = ""
for char in b:
if char == "1": new_b += "0"
else: new_b += "1"
b = new_b
data = a + "0" + b
data = data[:length]
checksum = data
while ... | 18.724138 | 49 | 0.519337 | import re
input_data = "00111101111101000"
length = 272
data = input_data
while len(data) < length:
a = data
b = a
b = b[::-1]
new_b = ""
for char in b:
if char == "1": new_b += "0"
else: new_b += "1"
b = new_b
data = a + "0" + b
data = data[:length]
checksum = data
while ... | true | true |
08ff639632b207fd201def2c8d6af656d2596173 | 6,978 | py | Python | spyhook/__init__.py | andrekeller/spyhook | f119b1d0f210fdd78728a265e77c249be71e35c5 | [
"MIT"
] | null | null | null | spyhook/__init__.py | andrekeller/spyhook | f119b1d0f210fdd78728a265e77c249be71e35c5 | [
"MIT"
] | 4 | 2020-03-24T16:22:08.000Z | 2020-11-15T14:43:02.000Z | spyhook/__init__.py | andrekeller/spyhook | f119b1d0f210fdd78728a265e77c249be71e35c5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""spyhook - simple python (gitlab) webhook receiver"""
# stdlib
import argparse
import configparser
import logging
import re
import socket
import ssl
import subprocess
import sys
import tempfile
import time
import uuid
from fnmatch import fnmatch
from functools import partial
# 3rd-party
from... | 37.315508 | 99 | 0.589997 |
import argparse
import configparser
import logging
import re
import socket
import ssl
import subprocess
import sys
import tempfile
import time
import uuid
from fnmatch import fnmatch
from functools import partial
from aiohttp import web
from spyhook.log import RequestLoggerAdapter
from spyhook.version import __vers... | true | true |
08ff64d9048b2c0f50473a5a284694b55ae60c9f | 4,007 | py | Python | panda_gym/envs/tasks/pick_and_place.py | hannahaih/panda-gym | cbbe9deb85f53d6f4f805917781857cdce0af957 | [
"MIT"
] | 1 | 2021-12-24T01:43:14.000Z | 2021-12-24T01:43:14.000Z | panda_gym/envs/tasks/pick_and_place.py | hannahaih/panda-gym | cbbe9deb85f53d6f4f805917781857cdce0af957 | [
"MIT"
] | null | null | null | panda_gym/envs/tasks/pick_and_place.py | hannahaih/panda-gym | cbbe9deb85f53d6f4f805917781857cdce0af957 | [
"MIT"
] | null | null | null | from typing import Any, Dict, Union
import numpy as np
from panda_gym.envs.core import Task
from panda_gym.pybullet import PyBullet
from panda_gym.utils import distance
class PickAndPlace(Task):
def __init__(
self,
sim: PyBullet,
reward_type: str = "sparse",
distance_threshold: f... | 41.309278 | 114 | 0.627652 | from typing import Any, Dict, Union
import numpy as np
from panda_gym.envs.core import Task
from panda_gym.pybullet import PyBullet
from panda_gym.utils import distance
class PickAndPlace(Task):
def __init__(
self,
sim: PyBullet,
reward_type: str = "sparse",
distance_threshold: f... | true | true |
08ff667952d227be57c750d5da88dec354f70ce4 | 4,439 | py | Python | xain/grpc/hellonumproto_pb2.py | matklad/xain | e3520d481459820b35dccc540ac9948555cbb8cb | [
"Apache-2.0"
] | 1 | 2020-05-30T20:34:19.000Z | 2020-05-30T20:34:19.000Z | xain/grpc/hellonumproto_pb2.py | danieljanes/ox-msc-diss-code-freeze | 20c6881cabdf1e3ed7a9ddb40bbdcc7a7fd22f78 | [
"Apache-2.0"
] | null | null | null | xain/grpc/hellonumproto_pb2.py | danieljanes/ox-msc-diss-code-freeze | 20c6881cabdf1e3ed7a9ddb40bbdcc7a7fd22f78 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: xain/grpc/hellonumproto.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from goo... | 32.166667 | 442 | 0.776526 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
_sym_db = _s... | true | true |
08ff69b4ff0fbd20ff707558218dd5060092ed72 | 4,047 | py | Python | nova/tests/functional/api_sample_tests/test_quota_sets.py | nicholaskuechler/nova | ff412c3888b234eb123161cc4e6d0d0d69c0004e | [
"Apache-2.0"
] | 5 | 2016-04-28T16:20:38.000Z | 2021-04-25T11:19:03.000Z | nova/tests/functional/api_sample_tests/test_quota_sets.py | nicholaskuechler/nova | ff412c3888b234eb123161cc4e6d0d0d69c0004e | [
"Apache-2.0"
] | 5 | 2016-07-11T20:59:47.000Z | 2020-07-28T09:56:35.000Z | nova/tests/functional/api_sample_tests/test_quota_sets.py | nicholaskuechler/nova | ff412c3888b234eb123161cc4e6d0d0d69c0004e | [
"Apache-2.0"
] | 5 | 2020-04-08T20:24:45.000Z | 2020-10-05T19:02:13.000Z | # Copyright 2012 Nebula, Inc.
# Copyright 2013 IBM Corp.
#
# 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... | 43.98913 | 78 | 0.623672 |
from oslo_config import cfg
from nova.tests.functional.api_sample_tests import api_sample_base
CONF = cfg.CONF
CONF.import_opt('osapi_compute_extension',
'nova.api.openstack.compute.legacy_v2.extensions')
class QuotaSetsSampleJsonTests(api_sample_base.ApiSampleTestBaseV21):
ADMIN_API = True
... | true | true |
08ff6a217bf60833dcd1c9d16a6d59bdfb6e5655 | 6,828 | py | Python | rnn.py | tommccoy1/copynet | 6bc6f3a81a4922d06bdd9e86dcd7125251282076 | [
"MIT"
] | null | null | null | rnn.py | tommccoy1/copynet | 6bc6f3a81a4922d06bdd9e86dcd7125251282076 | [
"MIT"
] | null | null | null | rnn.py | tommccoy1/copynet | 6bc6f3a81a4922d06bdd9e86dcd7125251282076 | [
"MIT"
] | null | null | null |
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import random
use_cuda = torch.cuda.is_available()
if use_cuda:
available_device = torch.device('cuda')
else:
available_device = torch.device('cpu')
# Generic sequential encoder
class EncoderRNN(nn.Module):
def __init__(sel... | 37.311475 | 193 | 0.65993 |
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import random
use_cuda = torch.cuda.is_available()
if use_cuda:
available_device = torch.device('cuda')
else:
available_device = torch.device('cpu')
class EncoderRNN(nn.Module):
def __init__(self, input_size, hidden_size, r... | true | true |
08ff6b2659f5dee9c411e3cb6cfb927747bc30ea | 682 | py | Python | programmers/lv2/42888.py | KLumy/Basic-Algorithm | e52e4200c1955a9062569814ff3418dd06666845 | [
"MIT"
] | 1 | 2021-01-22T15:58:32.000Z | 2021-01-22T15:58:32.000Z | programmers/lv2/42888.py | KLumy/Basic-Algorithm | e52e4200c1955a9062569814ff3418dd06666845 | [
"MIT"
] | null | null | null | programmers/lv2/42888.py | KLumy/Basic-Algorithm | e52e4200c1955a9062569814ff3418dd06666845 | [
"MIT"
] | null | null | null | from typing import List
def solution(records: List[str]):
logger = []
id_name = dict()
message = {"Enter": "님이 들어왔습니다.", "Leave": "님이 나갔습니다."}
for record in records:
op, id, *name = record.split()
if name:
id_name[id] = name[0]
if op in message:
logger.... | 22 | 59 | 0.532258 | from typing import List
def solution(records: List[str]):
logger = []
id_name = dict()
message = {"Enter": "님이 들어왔습니다.", "Leave": "님이 나갔습니다."}
for record in records:
op, id, *name = record.split()
if name:
id_name[id] = name[0]
if op in message:
logger.... | true | true |
08ff6b4824bb04da269eab7c707593c75464823d | 1,868 | py | Python | Python tips/format.py | LouisdeBruijn/Medium | afc66ee061c10b7107ba1661d2b9dfed0559dfc3 | [
"MIT"
] | 41 | 2020-05-03T19:32:37.000Z | 2022-02-02T22:03:07.000Z | Python tips/format.py | LouisdeBruijn/Medium | afc66ee061c10b7107ba1661d2b9dfed0559dfc3 | [
"MIT"
] | 2 | 2021-11-11T03:11:52.000Z | 2021-12-16T01:51:13.000Z | Python tips/format.py | LouisdeBruijn/Medium | afc66ee061c10b7107ba1661d2b9dfed0559dfc3 | [
"MIT"
] | 45 | 2020-03-29T02:43:24.000Z | 2022-03-15T02:14:27.000Z | #!/usr/bin/env python3
# File name: format.py
# Description: Basic format for Python scripts
# Author: Louis de Bruijn
# Date: 19-05-2020
import argparse
import logging
import sys
from logging import error, info
def parse_arguments():
"""Read arguments from a command line."""
parser = argparse.ArgumentParser... | 23.35 | 108 | 0.642398 |
import argparse
import logging
import sys
from logging import error, info
def parse_arguments():
parser = argparse.ArgumentParser(description="Arguments get parsed via --commands")
parser.add_argument(
"-v",
metavar="verbosity",
type=int,
default=2,
help="Verbosity of ... | true | true |
08ff6bb279fd7a01695f7ecca0a764c541087bc5 | 7,902 | py | Python | apps/amo/tests/test_amo_utils.py | clouserw/olympia | 1d5755b08a526372ec66e6bc64ab636018181969 | [
"BSD-3-Clause"
] | 1 | 2017-07-14T19:22:39.000Z | 2017-07-14T19:22:39.000Z | apps/amo/tests/test_amo_utils.py | clouserw/olympia | 1d5755b08a526372ec66e6bc64ab636018181969 | [
"BSD-3-Clause"
] | 6 | 2021-02-02T23:08:48.000Z | 2021-09-08T02:47:17.000Z | apps/amo/tests/test_amo_utils.py | clouserw/olympia | 1d5755b08a526372ec66e6bc64ab636018181969 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import tempfile
import unittest
from django.conf import settings
from django.core.cache import cache
from django.core.validators import ValidationError
from django.utils import translation
import mock
from nose.tools import eq_, assert_raises, raises
from amo.utils import (cache_ns_... | 31.482072 | 78 | 0.574158 | import os
import tempfile
import unittest
from django.conf import settings
from django.core.cache import cache
from django.core.validators import ValidationError
from django.utils import translation
import mock
from nose.tools import eq_, assert_raises, raises
from amo.utils import (cache_ns_key, escape_all, find_la... | true | true |
08ff6c13e88dfbeb8b7348462da0c6acd46baade | 3,934 | py | Python | django/contrib/gis/geos/tests/test_io.py | devops2014/djangosite | db77915c9fd35a203edd8206f702ee4082f04d4a | [
"BSD-3-Clause"
] | null | null | null | django/contrib/gis/geos/tests/test_io.py | devops2014/djangosite | db77915c9fd35a203edd8206f702ee4082f04d4a | [
"BSD-3-Clause"
] | null | null | null | django/contrib/gis/geos/tests/test_io.py | devops2014/djangosite | db77915c9fd35a203edd8206f702ee4082f04d4a | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
import binascii
import unittest
from unittest import skipUnless
from django.utils.six import memoryview
from ..import HAS_GEOS # isort:skip
if HAS_GEOS:
from .. import GEOSGeometry, WKTReader, WKTWriter, WKBReader, WKBWriter
@skipUnless(HAS_GEOS, "Geos is required.")
c... | 34.508772 | 90 | 0.651754 | from __future__ import unicode_literals
import binascii
import unittest
from unittest import skipUnless
from django.utils.six import memoryview
from ..import HAS_GEOS
if HAS_GEOS:
from .. import GEOSGeometry, WKTReader, WKTWriter, WKBReader, WKBWriter
@skipUnless(HAS_GEOS, "Geos is required.")
class GEOSIOTe... | true | true |
08ff6cf574eef46300f5d792cc0a1b6cb60b3373 | 236,339 | py | Python | install/InstallTools.py | grimpy/jumpscaleX_core | c24d6d47fccc0801e578fedb376ef110f7a00bad | [
"Apache-2.0"
] | null | null | null | install/InstallTools.py | grimpy/jumpscaleX_core | c24d6d47fccc0801e578fedb376ef110f7a00bad | [
"Apache-2.0"
] | null | null | null | install/InstallTools.py | grimpy/jumpscaleX_core | c24d6d47fccc0801e578fedb376ef110f7a00bad | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
import getpass
import pickle
import re
import copy
import time
try:
import msgpack
except:
msgpack = None
try:
import redis
except:
redis = None
DEFAULT_BRANCH = "development"
GITREPOS = {}
GITREPOS["builders_extra"] = [
"https://github.com/threefoldtech/ju... | 33.513755 | 183 | 0.532511 | from __future__ import unicode_literals
import getpass
import pickle
import re
import copy
import time
try:
import msgpack
except:
msgpack = None
try:
import redis
except:
redis = None
DEFAULT_BRANCH = "development"
GITREPOS = {}
GITREPOS["builders_extra"] = [
"https://github.com/threefoldtech/ju... | true | true |
08ff6cfd8471b4baacc22ee3e1f632d4349dc2e9 | 2,636 | py | Python | officy/jsonfile.py | liujuanjuan1984/officepy | 79782cd12024e6a81bbc15d0ac31da7591d055dd | [
"MIT"
] | null | null | null | officy/jsonfile.py | liujuanjuan1984/officepy | 79782cd12024e6a81bbc15d0ac31da7591d055dd | [
"MIT"
] | null | null | null | officy/jsonfile.py | liujuanjuan1984/officepy | 79782cd12024e6a81bbc15d0ac31da7591d055dd | [
"MIT"
] | null | null | null | import datetime
import json
import os
from officy.jsonlist import JsonList
class MyEncoder(json.JSONEncoder):
def default(self, obj):
import numpy as np
if isinstance(obj, np.integer):
return int(obj)
elif isinstance(obj, np.floating):
return float(obj)
el... | 29.288889 | 86 | 0.562215 | import datetime
import json
import os
from officy.jsonlist import JsonList
class MyEncoder(json.JSONEncoder):
def default(self, obj):
import numpy as np
if isinstance(obj, np.integer):
return int(obj)
elif isinstance(obj, np.floating):
return float(obj)
el... | true | true |
08ff6d30bc2b71a0c779c2b3b356c749fefae8d4 | 53,963 | py | Python | Assets/Python/Screens/PlatyBuilder/WBUnitScreen.py | macaurther/DOCUSA | 40586727c351d1b1130c05c2d4648cca3a8bacf5 | [
"MIT"
] | 93 | 2015-11-20T04:13:36.000Z | 2022-03-24T00:03:08.000Z | Assets/Python/Screens/PlatyBuilder/WBUnitScreen.py | macaurther/DOCUSA | 40586727c351d1b1130c05c2d4648cca3a8bacf5 | [
"MIT"
] | 206 | 2015-11-09T00:27:15.000Z | 2021-12-04T19:05:18.000Z | Assets/Python/Screens/PlatyBuilder/WBUnitScreen.py | dguenms/Dawn-of-Civilization | 1c4f510af97a869637cddb4c0859759158cea5ce | [
"MIT"
] | 117 | 2015-11-08T02:43:46.000Z | 2022-02-12T06:29:00.000Z | from CvPythonExtensions import *
import CvUtil
import ScreenInput
import CvScreenEnums
import WBPromotionScreen
import WBPlayerScreen
import WBTeamScreen
import WBPlotScreen
import WBEventScreen
import WBPlayerUnits
import CvPlatyBuilderScreen
import WBInfoScreen
import Popup
gc = CyGlobalContext()
from CvPlatyBuilderS... | 53.008841 | 320 | 0.715713 | from CvPythonExtensions import *
import CvUtil
import ScreenInput
import CvScreenEnums
import WBPromotionScreen
import WBPlayerScreen
import WBTeamScreen
import WBPlotScreen
import WBEventScreen
import WBPlayerUnits
import CvPlatyBuilderScreen
import WBInfoScreen
import Popup
gc = CyGlobalContext()
from CvPlatyBuilderS... | true | true |
08ff6d3e94438d88d060e71e13b35e1f983a6a15 | 8,033 | py | Python | steamdb-bot/main.py | MrMarble/steamdb-telegram-bot | 0fa5a856c1cebc4e276a834561c3f7687ca9a120 | [
"MIT"
] | 1 | 2021-05-25T23:14:03.000Z | 2021-05-25T23:14:03.000Z | steamdb-bot/main.py | MrMarble/steamdb-telegram-bot | 0fa5a856c1cebc4e276a834561c3f7687ca9a120 | [
"MIT"
] | null | null | null | steamdb-bot/main.py | MrMarble/steamdb-telegram-bot | 0fa5a856c1cebc4e276a834561c3f7687ca9a120 | [
"MIT"
] | 1 | 2020-08-20T06:46:48.000Z | 2020-08-20T06:46:48.000Z | import logging
import time
import telebot
from telebot import types
from utils import admin
from utils import database
from utils import settings
from utils import steam
logging.basicConfig(level=logging.INFO)
bot = telebot.TeleBot(settings.TELEGRAM_TOKEN, skip_pending=True)
steam = steam.Steam()
db = database.DB()
... | 43.421622 | 130 | 0.643097 | import logging
import time
import telebot
from telebot import types
from utils import admin
from utils import database
from utils import settings
from utils import steam
logging.basicConfig(level=logging.INFO)
bot = telebot.TeleBot(settings.TELEGRAM_TOKEN, skip_pending=True)
steam = steam.Steam()
db = database.DB()
... | true | true |
08ff6d4a2709c0a6697bbd75327a648c6fc9b2da | 13,618 | py | Python | pycatia/hybrid_shape_interfaces/hybrid_shape_circle.py | evereux/catia_python | 08948585899b12587b0415ce3c9191a408b34897 | [
"MIT"
] | 90 | 2019-02-21T10:05:28.000Z | 2022-03-19T01:53:41.000Z | pycatia/hybrid_shape_interfaces/hybrid_shape_circle.py | Luanee/pycatia | ea5eef8178f73de12404561c00baf7a7ca30da59 | [
"MIT"
] | 99 | 2019-05-21T08:29:12.000Z | 2022-03-25T09:55:15.000Z | pycatia/hybrid_shape_interfaces/hybrid_shape_circle.py | Luanee/pycatia | ea5eef8178f73de12404561c00baf7a7ca30da59 | [
"MIT"
] | 26 | 2019-04-04T06:31:36.000Z | 2022-03-30T07:24:47.000Z | #! usr/bin/python3.6
"""
Module initially auto generated using V5Automation files from CATIA V5 R28 on 2020-07-06 14:02:20.222384
.. warning::
The notes denoted "CAA V5 Visual Basic Help" are to be used as reference only.
They are there as a guide as to how the visual basic / catscript function... | 35.18863 | 111 | 0.477677 |
from pycatia.hybrid_shape_interfaces.hybrid_shape_direction import HybridShapeDirection
from pycatia.in_interfaces.reference import Reference
from pycatia.knowledge_interfaces.angle import Angle
from pycatia.mec_mod_interfaces.hybrid_shape import HybridShape
from pycatia.system_interfaces.system_service import SystemS... | true | true |
08ff7001f18d9d4afaba135f89063302a4ec9163 | 2,075 | py | Python | iblrig/blocks.py | jennan/iblrig | 46591429951f5cec6deb307318c7c63616c240f3 | [
"MIT"
] | null | null | null | iblrig/blocks.py | jennan/iblrig | 46591429951f5cec6deb307318c7c63616c240f3 | [
"MIT"
] | null | null | null | iblrig/blocks.py | jennan/iblrig | 46591429951f5cec6deb307318c7c63616c240f3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Author: Niccolò Bonacchi
# @Date: Friday, February 8th 2019, 11:39:30 am
import numpy as np
import iblrig.misc as misc
def get_block_len(factor, min_, max_):
return int(misc.texp(factor=factor, min_=min_, max_=max_))
def update_block_params(tph):
tph.block_tr... | 27.666667 | 76 | 0.660241 | import numpy as np
import iblrig.misc as misc
def get_block_len(factor, min_, max_):
return int(misc.texp(factor=factor, min_=min_, max_=max_))
def update_block_params(tph):
tph.block_trial_num += 1
if tph.block_trial_num > tph.block_len:
tph.block_num += 1
tph.block_trial_num = 1
... | true | true |
08ff707751895778bc28ccd12a6acb34c471baab | 7,649 | py | Python | tests/unit-tests/environment/test_environment.py | tum-ei-eda/mlonmcu | 0d5c114b85f2ae9e48e7d815bfce8df04c2bdb46 | [
"Apache-2.0"
] | 3 | 2022-03-07T09:38:12.000Z | 2022-03-24T09:28:36.000Z | tests/unit-tests/environment/test_environment.py | tum-ei-eda/mlonmcu | 0d5c114b85f2ae9e48e7d815bfce8df04c2bdb46 | [
"Apache-2.0"
] | 24 | 2022-03-07T16:09:32.000Z | 2022-03-31T08:08:51.000Z | tests/unit-tests/environment/test_environment.py | tum-ei-eda/mlonmcu | 0d5c114b85f2ae9e48e7d815bfce8df04c2bdb46 | [
"Apache-2.0"
] | 1 | 2022-03-07T09:38:17.000Z | 2022-03-07T09:38:17.000Z | #
# Copyright (c) 2022 TUM Department of Electrical and Computer Engineering.
#
# This file is part of MLonMCU.
# See https://github.com/tum-ei-eda/mlonmcu.git for further info.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You m... | 37.495098 | 108 | 0.693947 |
import os
import mock
import pytest
import configparser
from mlonmcu.environment.init import (
create_environment_directories,
create_venv_directory,
ask_user,
initialize_environment,
)
from mlonmcu.environment.list import get_alternative_name
from mlonmcu.environment.templates import fill_template, wr... | true | true |
08ff70f44f4eb47110ada914e4f08e549543402a | 132,615 | py | Python | mrcnn/model.py | lazy-turtle/SharpMask-RCNN | f6a3106b029b8147cecec429ec9a3d747449274f | [
"MIT"
] | 1 | 2019-08-29T16:50:49.000Z | 2019-08-29T16:50:49.000Z | mrcnn/model.py | lazy-turtle/SharpMask-RCNN | f6a3106b029b8147cecec429ec9a3d747449274f | [
"MIT"
] | null | null | null | mrcnn/model.py | lazy-turtle/SharpMask-RCNN | f6a3106b029b8147cecec429ec9a3d747449274f | [
"MIT"
] | null | null | null | """
Mask R-CNN
The main Mask R-CNN model implementation.
Copyright (c) 2017 Matterport, Inc.
Licensed under the MIT License (see LICENSE for details)
Written by Waleed Abdulla
"""
import os
import random
import datetime
import re
import math
import logging
from collections import OrderedDict
import multiprocessing
im... | 44.442024 | 128 | 0.616069 |
import os
import random
import datetime
import re
import math
import logging
from collections import OrderedDict
import multiprocessing
import numpy as np
import tensorflow as tf
import keras
import keras.backend as K
import keras.layers as KL
import keras.engine as KE
import keras.models as KM
import keras.backend as... | true | true |
08ff711b395cd4c17ad0e4faa37f6ff93ad1e010 | 488 | py | Python | ke2daira/kana2mora.py | otariidae/ke2daira.py | 6eceff29b623bb1a5e98c46b79b4d2fbfb1db5d1 | [
"Apache-2.0"
] | null | null | null | ke2daira/kana2mora.py | otariidae/ke2daira.py | 6eceff29b623bb1a5e98c46b79b4d2fbfb1db5d1 | [
"Apache-2.0"
] | null | null | null | ke2daira/kana2mora.py | otariidae/ke2daira.py | 6eceff29b623bb1a5e98c46b79b4d2fbfb1db5d1 | [
"Apache-2.0"
] | null | null | null | # Python port of https://github.com/otariidae/kana2mora
from typing import List
SUTEKANA = {"ァ", "ィ", "ゥ", "ェ", "ォ", "ャ", "ュ", "ョ", "ヮ"}
def katakana2mora(kana: str) -> List[str]:
chars = list(kana)
moras: List[str] = []
for char in chars:
if char in SUTEKANA:
previous_char = "" if l... | 25.684211 | 66 | 0.557377 |
from typing import List
SUTEKANA = {"ァ", "ィ", "ゥ", "ェ", "ォ", "ャ", "ュ", "ョ", "ヮ"}
def katakana2mora(kana: str) -> List[str]:
chars = list(kana)
moras: List[str] = []
for char in chars:
if char in SUTEKANA:
previous_char = "" if len(moras) == 0 else moras.pop()
mora = previ... | true | true |
08ff714c8dda7fb59624ec442e3310905c5b2872 | 6,946 | py | Python | tcapy/excel/tcapy_xl.py | Ahrvo-Trading-Systems/tcapy | df8439aa5c754fc9a7fde463c44c489b27112f76 | [
"Apache-2.0"
] | 189 | 2020-03-20T17:03:04.000Z | 2022-03-30T13:33:27.000Z | tcapy/excel/tcapy_xl.py | Ahrvo-Trading-Systems/tcapy | df8439aa5c754fc9a7fde463c44c489b27112f76 | [
"Apache-2.0"
] | 4 | 2020-06-06T14:58:21.000Z | 2022-03-10T22:31:15.000Z | tcapy/excel/tcapy_xl.py | Ahrvo-Trading-Systems/tcapy | df8439aa5c754fc9a7fde463c44c489b27112f76 | [
"Apache-2.0"
] | 60 | 2020-03-20T17:06:56.000Z | 2022-03-26T02:48:58.000Z | __author__ = 'saeedamen' # Saeed Amen / saeed@cuemacro.com
#
# Copyright 2020 Cuemacro Ltd. - http//www.cuemacro.com / @cuemacro
#
# See the License for the specific language governing permissions and limitations under the License.
#
import time
import datetime
import xlwings as xw
from tcapy.analysis.tcarequest im... | 45.697368 | 120 | 0.609991 | __author__ = 'saeedamen'
import time
import datetime
import xlwings as xw
from tcapy.analysis.tcarequest import TCARequest
from tcapy.analysis.tcaengine import TCAEngineImpl
from tcapy.analysis.algos.metric import *
from tcapy.analysis.algos.resultsform import *
from tcapy.analysis.algos.benchmark import *
from t... | true | true |
08ff717413b610b30455a187a5d333297eda4c8c | 4,465 | py | Python | custom_components/shelly/configuration_schema.py | Cleming/ShellyForHASS | 9e624b7497cfd2ae4c6d8cabd783841c4ffb19a2 | [
"MIT"
] | null | null | null | custom_components/shelly/configuration_schema.py | Cleming/ShellyForHASS | 9e624b7497cfd2ae4c6d8cabd783841c4ffb19a2 | [
"MIT"
] | null | null | null | custom_components/shelly/configuration_schema.py | Cleming/ShellyForHASS | 9e624b7497cfd2ae4c6d8cabd783841c4ffb19a2 | [
"MIT"
] | null | null | null | """Shelly Configuration Schemas."""
# pylint: disable=dangerous-default-value
from homeassistant.const import (
CONF_DEVICES, CONF_DISCOVERY, CONF_ID, CONF_NAME, CONF_PASSWORD,
CONF_SCAN_INTERVAL, CONF_USERNAME, EVENT_HOMEASSISTANT_STOP)
import voluptuous as vol
import homeassistant.helpers.config_validat... | 43.77451 | 79 | 0.670325 | from homeassistant.const import (
CONF_DEVICES, CONF_DISCOVERY, CONF_ID, CONF_NAME, CONF_PASSWORD,
CONF_SCAN_INTERVAL, CONF_USERNAME, EVENT_HOMEASSISTANT_STOP)
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from .const import *
ALL_SENSORS_W_EXTRA = list(ALL_SENSORS.keys()... | true | true |
08ff71b1a59c0c88ff09fc31de54d1b8f4e97448 | 4,819 | py | Python | controlm_client/models/passwords_object.py | apsinha-equinix/controlm-client | f24e0f935c82306074f4e4025cf62c217348dc3f | [
"MIT"
] | 1 | 2021-12-02T08:49:25.000Z | 2021-12-02T08:49:25.000Z | controlm_client/models/passwords_object.py | apsinha-equinix/controlm-client | f24e0f935c82306074f4e4025cf62c217348dc3f | [
"MIT"
] | null | null | null | controlm_client/models/passwords_object.py | apsinha-equinix/controlm-client | f24e0f935c82306074f4e4025cf62c217348dc3f | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Control-M Services
Provides access to BMC Control-M Services # noqa: E501
OpenAPI spec version: 9.18.3
Contact: support@bmc.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class PasswordsObject(obj... | 27.695402 | 92 | 0.579373 |
import pprint
import re
import six
class PasswordsObject(object):
swagger_types = {
'user': 'str',
'current_password': 'str',
'new_password': 'str'
}
attribute_map = {
'user': 'user',
'current_password': 'currentPassword',
'new_password': 'newPassword... | true | true |
08ff725ff399cd1cac7daf03bb1eda9d8c14415f | 1,223 | py | Python | setup.py | denmat/colorteller-aws-cdk | 87644f01cbd4293d5efaab530056e368b2f14603 | [
"MIT"
] | 3 | 2020-01-24T13:53:33.000Z | 2021-07-01T15:46:12.000Z | setup.py | denmat/colorteller-aws-cdk | 87644f01cbd4293d5efaab530056e368b2f14603 | [
"MIT"
] | null | null | null | setup.py | denmat/colorteller-aws-cdk | 87644f01cbd4293d5efaab530056e368b2f14603 | [
"MIT"
] | 1 | 2020-07-03T13:19:43.000Z | 2020-07-03T13:19:43.000Z | import setuptools
with open("README.md") as fp:
long_description = fp.read()
setuptools.setup(
name="colorteller-appmesh",
version="0.0.1",
description="Example of CDK and AppMesh, based off https://github.com/aws/aws-app-mesh-examples",
long_description=long_description,
long_description_c... | 24.46 | 101 | 0.60834 | import setuptools
with open("README.md") as fp:
long_description = fp.read()
setuptools.setup(
name="colorteller-appmesh",
version="0.0.1",
description="Example of CDK and AppMesh, based off https://github.com/aws/aws-app-mesh-examples",
long_description=long_description,
long_description_c... | true | true |
08ff73346d605d307b5171d895709fbb28ae8a72 | 443 | py | Python | src/sfctl/helps/__init__.py | vshan/service-fabric-cli | f491a301a03db3e0c11bb17b2a2315949ff40ba3 | [
"MIT"
] | 17 | 2019-07-01T05:03:02.000Z | 2022-03-12T11:22:55.000Z | src/sfctl/helps/__init__.py | vshan/service-fabric-cli | f491a301a03db3e0c11bb17b2a2315949ff40ba3 | [
"MIT"
] | 86 | 2018-05-30T13:31:54.000Z | 2019-04-04T22:08:22.000Z | src/sfctl/helps/__init__.py | vshan/service-fabric-cli | f491a301a03db3e0c11bb17b2a2315949ff40ba3 | [
"MIT"
] | 20 | 2019-05-16T22:55:08.000Z | 2021-09-13T12:31:19.000Z | # -----------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# -----------------------------------------------------------------------------
""... | 40.272727 | 79 | 0.501129 |
from pkgutil import extend_path
__path__ = extend_path(__path__, __name__)
| true | true |
08ff74463bb3f3ec4f36708a013e81bb5d1ee192 | 12,594 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2017_03_01/_network_management_client.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2017_03_01/_network_management_client.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2017_03_01/_network_management_client.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 61.135922 | 180 | 0.779419 |
from typing import TYPE_CHECKING
from azure.mgmt.core import ARMPipelineClient
from msrest import Deserializer, Serializer
if TYPE_CHECKING:
from typing import Any, Optional
from azure.core.credentials import TokenCredential
from azure.core.pipeline.transport import HttpRequest, HttpResponse
from .... | true | true |
08ff74b0e40f8c3aef9dd8f6a5246e08aaae9668 | 1,576 | py | Python | 986_IntervalListIntersections.py | satwiksabharwal01/LeetcodeProblemSolutions | c08fb77b76519f9c543d74f84cb2c0477aeddcd9 | [
"MIT"
] | 1 | 2020-06-03T22:00:54.000Z | 2020-06-03T22:00:54.000Z | 986_IntervalListIntersections.py | AmiGandhi/leetcode | 238186f1e4dd7f243caab47173ebc2511ae5902e | [
"MIT"
] | null | null | null | 986_IntervalListIntersections.py | AmiGandhi/leetcode | 238186f1e4dd7f243caab47173ebc2511ae5902e | [
"MIT"
] | null | null | null | # Given two lists of closed intervals, each list of intervals is pairwise disjoint and in sorted order.
# Return the intersection of these two interval lists.
# (Formally, a closed interval [a, b] (with a <= b) denotes the set of real numbers x with a <= x <= b. The intersection of two closed intervals is a set of r... | 35.818182 | 300 | 0.564721 |
class Solution:
def intervalIntersection(self, A, B):
i = j = 0
interval = []
while i < len(A) and j < len(B):
low = max(A[i][0], B[j][0])
high = min(A[i][1], B[j][1])
if low <= high:
interval.append([low,high])
... | true | true |
08ff774717edb00e83a7c03b05fb963f627d8c5a | 3,235 | py | Python | magenta/common/beam_search_test.py | laurens-in/magenta | be6ed8d5b1eb2986ca277aa9c574a7912dd5ed0f | [
"Apache-2.0"
] | 1 | 2021-12-27T10:43:39.000Z | 2021-12-27T10:43:39.000Z | magenta/common/beam_search_test.py | kyungyunlee/magenta | cf80d19fc0c2e935821f284ebb64a8885f793717 | [
"Apache-2.0"
] | null | null | null | magenta/common/beam_search_test.py | kyungyunlee/magenta | cf80d19fc0c2e935821f284ebb64a8885f793717 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The Magenta Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 36.348315 | 79 | 0.702318 |
from magenta.common import beam_search
import tensorflow.compat.v1 as tf
class BeamSearchTest(tf.test.TestCase):
def _generate_step_fn(self, sequences, states, scores):
value = 0
for i, seq in enumerate(sequences):
seq.append(value)
if value == 0:
states[i] *= 2
else... | true | true |
08ff78ffd23b026acad1634ebf86528b02362640 | 511 | py | Python | docs/sphinx-theme/caer_sphinx_theme/__init__.py | jasmcaus/image-deep-learning-keras | 11ff37867c2cb86a92aceb0ac24accb3607e3635 | [
"MIT"
] | 681 | 2020-08-13T09:34:41.000Z | 2022-03-19T15:38:04.000Z | docs/sphinx-theme/caer_sphinx_theme/__init__.py | jasmcaus/image-deep-learning-keras | 11ff37867c2cb86a92aceb0ac24accb3607e3635 | [
"MIT"
] | 30 | 2020-11-03T19:23:14.000Z | 2021-10-13T17:19:34.000Z | docs/sphinx-theme/caer_sphinx_theme/__init__.py | jasmcaus/image-deep-learning-keras | 11ff37867c2cb86a92aceb0ac24accb3607e3635 | [
"MIT"
] | 127 | 2020-11-03T19:14:30.000Z | 2022-03-17T12:01:32.000Z | """Caer Sphinx theme.
From https://github.com/shiftlab/lightning_sphinx_theme.
"""
from os import path
__version__ = '0.0.1'
__version_full__ = __version__
def get_html_theme_path():
"""Return list of HTML theme paths."""
cur_dir = path.abspath(path.dirname(path.dirname(__file__)))
return cur_dir
# Se... | 25.55 | 96 | 0.74364 | from os import path
__version__ = '0.0.1'
__version_full__ = __version__
def get_html_theme_path():
cur_dir = path.abspath(path.dirname(path.dirname(__file__)))
return cur_dir
def setup(app):
app.add_html_theme('caer_sphinx_theme', path.abspath(path.dirname(__file__)))
| true | true |
08ff792d82fcd6de808c39b42ddce5fb53052915 | 680 | py | Python | config.py | HumaticsLAB/AttentionBasedMultiModalRNN | 0c060a97cdddf1348938a5f2d456e83e5f8bf887 | [
"MIT"
] | 5 | 2021-09-21T12:32:06.000Z | 2022-03-19T05:15:09.000Z | config.py | HumaticsLAB/AttentionBasedMultiModalRNN | 0c060a97cdddf1348938a5f2d456e83e5f8bf887 | [
"MIT"
] | 1 | 2021-11-15T09:14:58.000Z | 2021-11-15T09:15:11.000Z | config.py | HumaticsLAB/AttentionBasedMultiModalRNN | 0c060a97cdddf1348938a5f2d456e83e5f8bf887 | [
"MIT"
] | 2 | 2021-09-30T19:22:20.000Z | 2021-10-16T08:33:48.000Z | import torch
DEVICE = torch.device('cuda:0')
DATASET_PATH = "dataset/images"
TRAIN_DATASET = "dataset/train.csv"
TEST_DATASET = "dataset/test.csv"
COMPOSED_GTREND = "dataset/gtrends.csv"
CATEG_DICT = "category_labels.pt"
COLOR_DICT = "color_labels.pt"
FAB_DICT = "fabric_labels.pt"
NUM_EPOCHS = 50
USE_TEACHERFORCING = ... | 24.285714 | 61 | 0.770588 | import torch
DEVICE = torch.device('cuda:0')
DATASET_PATH = "dataset/images"
TRAIN_DATASET = "dataset/train.csv"
TEST_DATASET = "dataset/test.csv"
COMPOSED_GTREND = "dataset/gtrends.csv"
CATEG_DICT = "category_labels.pt"
COLOR_DICT = "color_labels.pt"
FAB_DICT = "fabric_labels.pt"
NUM_EPOCHS = 50
USE_TEACHERFORCING = ... | true | true |
08ff794827af1677f3b0d9e6d123e06193464760 | 522 | py | Python | nctrader/price_handler/sqlite_db/__init__.py | nwillemse/nctrader | 4754ccdeae465ef4674a829f35fc3f78cf1d3ea4 | [
"MIT"
] | 1 | 2019-11-13T06:38:12.000Z | 2019-11-13T06:38:12.000Z | nctrader/price_handler/sqlite_db/__init__.py | nwillemse/nctrader | 4754ccdeae465ef4674a829f35fc3f78cf1d3ea4 | [
"MIT"
] | null | null | null | nctrader/price_handler/sqlite_db/__init__.py | nwillemse/nctrader | 4754ccdeae465ef4674a829f35fc3f78cf1d3ea4 | [
"MIT"
] | 1 | 2021-05-11T11:24:08.000Z | 2021-05-11T11:24:08.000Z | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 1 10:53:38 2016
@author: nwillemse
"""
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, create_session
from sqlalchemy.ext.declarative import declarative_base
engine = None
db_session = scoped_session(lambda: create_... | 22.695652 | 64 | 0.752874 | from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, create_session
from sqlalchemy.ext.declarative import declarative_base
engine = None
db_session = scoped_session(lambda: create_session(bind=engine))
Base = declarative_base()
Base.query = db_session.query_property()
def init_engine(uri... | true | true |
08ff79691d2d55188a409e63800809126c4fe448 | 629 | py | Python | ui/mainwindow/svgbutton.py | turalaksel/cadnano2.1 | 5e5b0e9085755c2e810346d3e580994bf4fad174 | [
"MIT"
] | 23 | 2018-11-26T12:00:22.000Z | 2022-03-27T14:38:43.000Z | ui/mainwindow/svgbutton.py | turalaksel/cadnano2.1 | 5e5b0e9085755c2e810346d3e580994bf4fad174 | [
"MIT"
] | 23 | 2018-12-20T20:04:42.000Z | 2022-03-04T03:58:23.000Z | ui/mainwindow/svgbutton.py | turalaksel/cadnano2.1 | 5e5b0e9085755c2e810346d3e580994bf4fad174 | [
"MIT"
] | 23 | 2018-07-04T02:06:00.000Z | 2022-03-27T14:31:00.000Z | import util
util.qtWrapImport('QtCore', globals(), ['QObject', 'pyqtSignal', 'Qt'])
util.qtWrapImport('QtWidgets', globals(), ['QGraphicsObject'])
util.qtWrapImport('QtSvg', globals(), ['QSvgRenderer'])
class SVGButton(QGraphicsObject):
def __init__(self, fname, parent=None):
super(SVGButton, self).__init... | 31.45 | 71 | 0.678855 | import util
util.qtWrapImport('QtCore', globals(), ['QObject', 'pyqtSignal', 'Qt'])
util.qtWrapImport('QtWidgets', globals(), ['QGraphicsObject'])
util.qtWrapImport('QtSvg', globals(), ['QSvgRenderer'])
class SVGButton(QGraphicsObject):
def __init__(self, fname, parent=None):
super(SVGButton, self).__init... | true | true |
08ff797b358c8bc505a4ef4dc4d6a117c8ef0c5c | 613 | py | Python | 1]. DSA + CP/1]. DSA/1]. Data Structures/03]. Recursion/Python/Climbing_Stairs.py | geeknarendra/The-Complete-FAANG-Preparation | 3ed22719022bc66bd05c5c1ed091fe605e979908 | [
"MIT"
] | null | null | null | 1]. DSA + CP/1]. DSA/1]. Data Structures/03]. Recursion/Python/Climbing_Stairs.py | geeknarendra/The-Complete-FAANG-Preparation | 3ed22719022bc66bd05c5c1ed091fe605e979908 | [
"MIT"
] | null | null | null | 1]. DSA + CP/1]. DSA/1]. Data Structures/03]. Recursion/Python/Climbing_Stairs.py | geeknarendra/The-Complete-FAANG-Preparation | 3ed22719022bc66bd05c5c1ed091fe605e979908 | [
"MIT"
] | null | null | null | # You are climbing a staircase. It takes n steps to reach the top.
# Each time you can either climb 1 or 2 steps. In how many distinct ways can you climb to the top?
# Constraints:
## 1 <= n <= 45
# Memoization (Top Down)
class Solution:
def __init__(self):
self.ways = [0] * 46
def climbStairs(self, n... | 29.190476 | 98 | 0.58075 |
class Solution:
def __init__(self):
self.ways = [0] * 46
def climbStairs(self, n: int) -> int:
if (n <= 2):
return n
elif self.ways[n] != 0:
return self.ways[n]
else:
self.ways[n] = self.climbStairs(n - 1) + self.climbStairs(n - 2)
... | true | true |
08ff79c1fae46028f949227b771995298e7477d3 | 22,704 | py | Python | cdp_backend/database/models.py | Shak2000/cdp-backend | b3d342e39bd8144172af54448f2abbf2180d8f63 | [
"MIT"
] | null | null | null | cdp_backend/database/models.py | Shak2000/cdp-backend | b3d342e39bd8144172af54448f2abbf2180d8f63 | [
"MIT"
] | null | null | null | cdp_backend/database/models.py | Shak2000/cdp-backend | b3d342e39bd8144172af54448f2abbf2180d8f63 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import re
import unicodedata
from datetime import datetime
from typing import Dict
from fireo import fields
from fireo.models import Model
from ..utils import file_utils
from . import validators
from .constants import (
EventMinutesItemDecision,
MatterStatusDecis... | 30.681081 | 88 | 0.634514 |
import re
import unicodedata
from datetime import datetime
from typing import Dict
from fireo import fields
from fireo.models import Model
from ..utils import file_utils
from . import validators
from .constants import (
EventMinutesItemDecision,
MatterStatusDecision,
Order,
VoteDecision,
)
from .type... | true | true |
08ff7acd21fa91b9086fa93c4d7f11d1d36638f1 | 136 | py | Python | backend/ml/apps.py | iamnkc/tournesol | 4a09985f494577917c357783a37dfae02c57fd82 | [
"CC0-1.0"
] | null | null | null | backend/ml/apps.py | iamnkc/tournesol | 4a09985f494577917c357783a37dfae02c57fd82 | [
"CC0-1.0"
] | null | null | null | backend/ml/apps.py | iamnkc/tournesol | 4a09985f494577917c357783a37dfae02c57fd82 | [
"CC0-1.0"
] | null | null | null | from django.apps import AppConfig
class MlConfig(AppConfig):
default_auto_field = "django.db.models.BigAutoField"
name = "ml"
| 19.428571 | 56 | 0.742647 | from django.apps import AppConfig
class MlConfig(AppConfig):
default_auto_field = "django.db.models.BigAutoField"
name = "ml"
| true | true |
08ff7ada991db8ae37fb19d14024e7b49b45deaa | 29,912 | py | Python | Neural-Networks-and-Deep-Learning/Logistic Regression as a Neural Network/Logistic Regression with a Neural Network mindset.py | PauloCirino/deep-learning-coursera | 69a89206bf4b0ec3148a1b69a2b31fb79e6adc7c | [
"MIT"
] | null | null | null | Neural-Networks-and-Deep-Learning/Logistic Regression as a Neural Network/Logistic Regression with a Neural Network mindset.py | PauloCirino/deep-learning-coursera | 69a89206bf4b0ec3148a1b69a2b31fb79e6adc7c | [
"MIT"
] | null | null | null | Neural-Networks-and-Deep-Learning/Logistic Regression as a Neural Network/Logistic Regression with a Neural Network mindset.py | PauloCirino/deep-learning-coursera | 69a89206bf4b0ec3148a1b69a2b31fb79e6adc7c | [
"MIT"
] | null | null | null |
# coding: utf-8
# # Logistic Regression with a Neural Network mindset
#
# Welcome to your first (required) programming assignment! You will build a logistic regression classifier to recognize cats. This assignment will step you through how to do this with a Neural Network mindset, and so will also hone your intuiti... | 36.746929 | 427 | 0.639777 |
# - [numpy](www.numpy.org) is the fundamental package for scientific computing with Python.
# - [h5py](http://www.h5py.org) is a common package to interact with a dataset that is stored on an H5 file.
# - [matplotlib](http://matplotlib.org) is a famous library to plot graphs in Python.
# - [PIL](http://www.pythonwar... | true | true |
08ff7b4efb104b2035e378ccc989147acb973d9b | 15,958 | py | Python | src/slimit/lexer.py | ContextLogic/slimit | 406f95b33170f5e2f80118d64475ee169bc621d7 | [
"MIT"
] | null | null | null | src/slimit/lexer.py | ContextLogic/slimit | 406f95b33170f5e2f80118d64475ee169bc621d7 | [
"MIT"
] | null | null | null | src/slimit/lexer.py | ContextLogic/slimit | 406f95b33170f5e2f80118d64475ee169bc621d7 | [
"MIT"
] | 1 | 2017-11-13T00:44:41.000Z | 2017-11-13T00:44:41.000Z | ###############################################################################
#
# Copyright (c) 2011 Ruslan Spivak
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, inc... | 34.025586 | 79 | 0.452876 |
__author__ = 'Ruslan Spivak <ruslan.spivak@gmail.com>'
import ply.lex
from slimit.unicode import (
LETTER,
DIGIT,
COMBINING_MARK,
CONNECTOR_PUNCTUATION,
)
TOKENS_THAT_IMPLY_DIVISON = frozenset([
'ID',
'NUMBER',
'STRING',
'REGEX',
'TRUE',
'FALSE',
'NULL',
'THIS',
... | false | true |
08ff7b87d9d1412cdd7b25b02e62f06a49905954 | 952 | py | Python | pepega/src/pyPEG/pyPEGElements.py | dendy1/pepega | f95a138c000bc90f7cd6c38496de441107b42dbc | [
"MIT"
] | null | null | null | pepega/src/pyPEG/pyPEGElements.py | dendy1/pepega | f95a138c000bc90f7cd6c38496de441107b42dbc | [
"MIT"
] | null | null | null | pepega/src/pyPEG/pyPEGElements.py | dendy1/pepega | f95a138c000bc90f7cd6c38496de441107b42dbc | [
"MIT"
] | null | null | null | from pypeg2 import *
from src.AST.ASTNode import ASTNode
from src.Visitor.VisitorElement import VisitorElement
class CustomNamespace(Namespace, ASTNode, VisitorElement):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
ASTNode.__init__(self)
class CustomList(List, ASTNode, Vi... | 34 | 58 | 0.683824 | from pypeg2 import *
from src.AST.ASTNode import ASTNode
from src.Visitor.VisitorElement import VisitorElement
class CustomNamespace(Namespace, ASTNode, VisitorElement):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
ASTNode.__init__(self)
class CustomList(List, ASTNode, Vi... | true | true |
08ff7bd2eae66194a5f6df523d4e1744f3f715e8 | 2,886 | py | Python | script/finetune_all_models.py | lthamm/concept-embeddings-and-ilp | 27592c6424147a2fbb54d7daebc92cd72b3f4a0c | [
"MIT"
] | 3 | 2020-11-02T12:21:29.000Z | 2021-08-02T14:01:37.000Z | script/finetune_all_models.py | lthamm/concept-embeddings-and-ilp | 27592c6424147a2fbb54d7daebc92cd72b3f4a0c | [
"MIT"
] | 2 | 2020-11-06T07:58:13.000Z | 2022-03-13T16:11:30.000Z | script/finetune_all_models.py | lthamm/concept-embeddings-and-ilp | 27592c6424147a2fbb54d7daebc92cd72b3f4a0c | [
"MIT"
] | 1 | 2020-11-03T14:54:16.000Z | 2020-11-03T14:54:16.000Z | """Fine-tune all available models on picasso with default settings dataset if .pkl is missing.
Call as
`python script/finetune_all_models.py`
to fine-tune all known models with default values.
Resulting .pkl files are stored in MODELS_ROOT folder.
"""
import argparse
import os
import sys
PROJECT_ROOT = "." # assume, ... | 50.631579 | 96 | 0.665974 | import argparse
import os
import sys
PROJECT_ROOT = "." MODELS_ROOT = os.path.join(PROJECT_ROOT, 'models')
PICASSO_ROOT = os.path.join(PROJECT_ROOT, "dataset", "picasso_dataset")
sys.path.insert(0, PROJECT_ROOT)
from sources.model.finetuning import picasso_data_loader, finetune
from sources.model.finetuning import d... | true | true |
08ff7bf22209f4abdfa458bd5e2056db75bd73cb | 508 | py | Python | neural/util/exception.py | Hengle/face-nn | edc4ae1e3aedac88b99d3216693aa81406a519b1 | [
"MIT"
] | 319 | 2019-10-09T05:34:22.000Z | 2022-03-31T07:52:28.000Z | neural/util/exception.py | CFengFeng/face-nn | a76a689774b5101959d3c5b8a04898ae82c7bfc2 | [
"MIT"
] | 19 | 2019-11-08T01:41:02.000Z | 2022-03-24T11:46:05.000Z | neural/util/exception.py | CFengFeng/face-nn | a76a689774b5101959d3c5b8a04898ae82c7bfc2 | [
"MIT"
] | 103 | 2019-10-05T08:33:56.000Z | 2022-03-29T13:38:20.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: penghuailiang
# @Date : 2019-09-20
import traceback
import util.logit as log
class NeuralException(Exception):
"""docstring for NnException"""
def __init__(self, message):
log.info("neural error: " + message)
self.message = "neural e... | 20.32 | 53 | 0.637795 |
import traceback
import util.logit as log
class NeuralException(Exception):
def __init__(self, message):
log.info("neural error: " + message)
self.message = "neural exception: " + message
class IOException(Exception):
def __init__(self, message):
log.error("io error: " + message)... | true | true |
08ff7bfdcca3f3e3a0dedeeaf82f7167a55704df | 1,346 | py | Python | scCloud/scCloud/annotate_cluster/run_annotate_cluster.py | broadinstitute/scRNA-Seq | 03aafb92274a97f4d634ac9e42f0e0feca91ed98 | [
"BSD-3-Clause"
] | 12 | 2019-04-08T11:39:33.000Z | 2022-02-22T02:50:27.000Z | scCloud/scCloud/annotate_cluster/run_annotate_cluster.py | broadinstitute/scRNA-Seq | 03aafb92274a97f4d634ac9e42f0e0feca91ed98 | [
"BSD-3-Clause"
] | null | null | null | scCloud/scCloud/annotate_cluster/run_annotate_cluster.py | broadinstitute/scRNA-Seq | 03aafb92274a97f4d634ac9e42f0e0feca91ed98 | [
"BSD-3-Clause"
] | 3 | 2019-03-06T20:44:33.000Z | 2020-02-17T13:43:46.000Z | import time
import pkg_resources
from scCloud.tools import read_input
from . import annotate_cluster
def run_annotate_cluster(input_file, output_file, threshold, ignoreNA = False, json_file = "human"):
start = time.time()
if json_file == "human_immune":
json_file = pkg_resources.resource_filename('scCloud.annotat... | 44.866667 | 107 | 0.768945 | import time
import pkg_resources
from scCloud.tools import read_input
from . import annotate_cluster
def run_annotate_cluster(input_file, output_file, threshold, ignoreNA = False, json_file = "human"):
start = time.time()
if json_file == "human_immune":
json_file = pkg_resources.resource_filename('scCloud.annotat... | true | true |
08ff7db7bdfb18c09984274cd673bffe02b05803 | 1,353 | py | Python | cluster.py | mfatihaktas/load-flow-control | 440fedab3c1bab13c491fef315507a20a1664bae | [
"MIT"
] | null | null | null | cluster.py | mfatihaktas/load-flow-control | 440fedab3c1bab13c491fef315507a20a1664bae | [
"MIT"
] | null | null | null | cluster.py | mfatihaktas/load-flow-control | 440fedab3c1bab13c491fef315507a20a1664bae | [
"MIT"
] | null | null | null | import threading, time, random
from collections import deque
from debug_utils import *
from msg import *
from controller import *
class Cluster():
def __init__(self, _id, fc_server, fc_client, handle_result, max_delay):
self._id = _id
self.fc_server = fc_server
self.fc_client = fc_client
self.handle_result =... | 23.736842 | 73 | 0.707317 | import threading, time, random
from collections import deque
from debug_utils import *
from msg import *
from controller import *
class Cluster():
def __init__(self, _id, fc_server, fc_client, handle_result, max_delay):
self._id = _id
self.fc_server = fc_server
self.fc_client = fc_client
self.handle_result =... | true | true |
08ff7e58ce1e1f75221d4b721c894b292e46dfad | 1,668 | py | Python | models/ModelSet/settings.py | Easonyesheng/StereoCameraToolk | 660e43019d0687e96e6da3aca48c1c423ae5abff | [
"MIT"
] | 27 | 2020-10-16T07:21:35.000Z | 2022-03-11T02:56:13.000Z | models/ModelSet/settings.py | Easonyesheng/StereoCamera | 9319b7f4e5ce36833de722a15e1074e82b8b4f84 | [
"MIT"
] | null | null | null | models/ModelSet/settings.py | Easonyesheng/StereoCamera | 9319b7f4e5ce36833de722a15e1074e82b8b4f84 | [
"MIT"
] | 6 | 2021-02-01T09:54:40.000Z | 2022-03-11T03:16:39.000Z |
import os
import yaml
# Normal
# IMGPATH = r'D:\DeepCalib\CalibrationNet\Dataset\ForCalibAc30_newdata\img'
# IMGPATH = r'D:\DeepCalib\CalibrationNet\Dataset\ForCalibAc5_bgdata\img'
# IMGPATH = r'D:\DeepCalib\CalibrationNet\Dataset\data_vs_noise\data_vs_noise_radius1.5_bg\ForCalibAc5_bg\img'
# IMGPATH = r'D:\DeepC... | 39.714286 | 110 | 0.791966 |
import os
import yaml
IMGPATH = r'D:\DeepCalib\CalibrationNet\Dataset\data_vs_dist\data_dist045\ForCalibAc0_dist045\dist_img'
GT_path = r'D:\DeepCalib\CalibrationNet\Dataset\data_vs_dist\data_dist045\ForCalibAc0_dist045\GT\0-0.npy'
CAMERANAME = 'test'
STEREOIMGPATH = '/Users/zhangyesheng/Desktop/Dataset/Stereo... | true | true |
08ff8015b2645e7d139a4899579db125c1acaad2 | 1,316 | py | Python | lantz/drivers/microsoft/usbcam.py | mtsolmn/lantz-drivers | f48caf9000ddd08f2abb837d832e341410af4788 | [
"BSD-3-Clause"
] | 4 | 2019-05-04T00:10:53.000Z | 2020-10-22T18:08:40.000Z | lantz/drivers/microsoft/usbcam.py | mtsolmn/lantz-drivers | f48caf9000ddd08f2abb837d832e341410af4788 | [
"BSD-3-Clause"
] | 3 | 2019-07-12T13:44:17.000Z | 2020-10-22T19:32:08.000Z | lantz/drivers/microsoft/usbcam.py | mtsolmn/lantz-drivers | f48caf9000ddd08f2abb837d832e341410af4788 | [
"BSD-3-Clause"
] | 9 | 2019-04-03T17:07:03.000Z | 2021-02-15T21:53:55.000Z | import cv2
import numpy as np
from lantz.core import Action, Driver, Feat
class USBCam(Driver):
def __init__(self, device_id):
self.device_id = device_id
self._flipud = False
self._fliplr = False
self._rotation = 0
return
def initialize(self):
self.capture = c... | 21.933333 | 59 | 0.588146 | import cv2
import numpy as np
from lantz.core import Action, Driver, Feat
class USBCam(Driver):
def __init__(self, device_id):
self.device_id = device_id
self._flipud = False
self._fliplr = False
self._rotation = 0
return
def initialize(self):
self.capture = c... | true | true |
08ff80c55830ddffd71bd003af55a7458e31c5a5 | 294 | py | Python | fastafl/variants.py | kevaday/alphazero-general | f01a386a84e1561e5e89ea779be192739a11ba73 | [
"MIT"
] | 15 | 2021-06-01T16:38:27.000Z | 2022-02-08T03:13:00.000Z | fastafl/variants.py | kevaday/alphazero-general | f01a386a84e1561e5e89ea779be192739a11ba73 | [
"MIT"
] | 2 | 2021-07-16T15:32:06.000Z | 2021-07-30T02:20:24.000Z | fastafl/variants.py | kevaday/alphazero-general | f01a386a84e1561e5e89ea779be192739a11ba73 | [
"MIT"
] | 6 | 2021-06-14T10:24:15.000Z | 2021-11-24T12:56:25.000Z | hnefatafl = """50022222005
00000200000
00000000000
20000100002
20001110002
22011711022
20001110002
20000100002
00000000000
00000200000
50022222005"""
brandubh = """5002005
0002000
0001000
2217122
0001000
0002000
5002005"""
hnefatafl_args = (hnefatafl, False)
brandubh_args = (brandubh, True)
| 12.782609 | 35 | 0.816327 | hnefatafl = """50022222005
00000200000
00000000000
20000100002
20001110002
22011711022
20001110002
20000100002
00000000000
00000200000
50022222005"""
brandubh = """5002005
0002000
0001000
2217122
0001000
0002000
5002005"""
hnefatafl_args = (hnefatafl, False)
brandubh_args = (brandubh, True)
| true | true |
08ff812601c5227ca9c5ff485e402612d2cfda44 | 925 | py | Python | examples/Graph_Neural_Networks/TensorFlow/GCN-Jaccard.py | Jie-Re/GraphGallery | 37a2e807bb21e5ed986ade935ac9619b62bfdd90 | [
"MIT"
] | null | null | null | examples/Graph_Neural_Networks/TensorFlow/GCN-Jaccard.py | Jie-Re/GraphGallery | 37a2e807bb21e5ed986ade935ac9619b62bfdd90 | [
"MIT"
] | null | null | null | examples/Graph_Neural_Networks/TensorFlow/GCN-Jaccard.py | Jie-Re/GraphGallery | 37a2e807bb21e5ed986ade935ac9619b62bfdd90 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
import graphgallery
import tensorflow as tf
from graphgallery import functional as gf
graphgallery.set_memory_growth()
print("GraphGallery version: ", graphgallery.__version__)
print("TensorFlow version: ", tf.__version__)
'''
Load Datasets
- cora/citeseer/pubmed/dblp/polblogs/... | 33.035714 | 99 | 0.778378 |
import graphgallery
import tensorflow as tf
from graphgallery import functional as gf
graphgallery.set_memory_growth()
print("GraphGallery version: ", graphgallery.__version__)
print("TensorFlow version: ", tf.__version__)
from graphgallery.datasets import Planetoid, NPZDataset
data = NPZDataset('cora', root="~/Gra... | true | true |
08ff838b6fd2f7d78b6eeda8c76770c52c1b43c8 | 701 | py | Python | tests/tests_io/test_buffered_file_iterator.py | jjj999/bamboo | 92f0bd7f6b3dbaf4452850ec5c8b2cbc550e810a | [
"MIT"
] | 4 | 2021-03-08T14:22:05.000Z | 2022-01-21T14:17:51.000Z | tests/tests_io/test_buffered_file_iterator.py | jjj999/bamboo | 92f0bd7f6b3dbaf4452850ec5c8b2cbc550e810a | [
"MIT"
] | 5 | 2021-06-28T11:52:18.000Z | 2021-07-19T10:39:34.000Z | tests/tests_io/test_buffered_file_iterator.py | jjj999/bamboo | 92f0bd7f6b3dbaf4452850ec5c8b2cbc550e810a | [
"MIT"
] | null | null | null | import os
import unittest
from bamboo import BufferedFileIterator
from .. import PATH_IMAGE
class TestBufferedFileIterator(unittest.TestCase):
def setUp(self) -> None:
self.total = os.path.getsize(PATH_IMAGE)
self.bufsize = 8192
self.iter = BufferedFileIterator(PATH_IMAGE, self.bufsize)... | 22.612903 | 66 | 0.603424 | import os
import unittest
from bamboo import BufferedFileIterator
from .. import PATH_IMAGE
class TestBufferedFileIterator(unittest.TestCase):
def setUp(self) -> None:
self.total = os.path.getsize(PATH_IMAGE)
self.bufsize = 8192
self.iter = BufferedFileIterator(PATH_IMAGE, self.bufsize)... | true | true |
08ff84030d7e282ae48fd8198566e4aa16949651 | 5,010 | py | Python | basicsr/data/paired_image_dataset.py | daobook/BasicSR | 87f8d9cd528e3edc478c8edcc11016545a5b58ef | [
"Apache-2.0"
] | null | null | null | basicsr/data/paired_image_dataset.py | daobook/BasicSR | 87f8d9cd528e3edc478c8edcc11016545a5b58ef | [
"Apache-2.0"
] | 1 | 2022-02-22T14:46:14.000Z | 2022-02-22T14:46:14.000Z | basicsr/data/paired_image_dataset.py | daobook/BasicSR | 87f8d9cd528e3edc478c8edcc11016545a5b58ef | [
"Apache-2.0"
] | null | null | null | from torch.utils import data as data
from torchvision.transforms.functional import normalize
from basicsr.data.data_util import paired_paths_from_folder, paired_paths_from_lmdb, paired_paths_from_meta_info_file
from basicsr.data.transforms import augment, paired_random_crop
from basicsr.utils import FileClient, imfrom... | 47.264151 | 117 | 0.638723 | from torch.utils import data as data
from torchvision.transforms.functional import normalize
from basicsr.data.data_util import paired_paths_from_folder, paired_paths_from_lmdb, paired_paths_from_meta_info_file
from basicsr.data.transforms import augment, paired_random_crop
from basicsr.utils import FileClient, imfrom... | true | true |
08ff84694f7f061e8aecbe471df4104519a2049e | 5,187 | py | Python | app/recipe/tests/test_recipe_api.py | grihenrik/django-recipe-app | fd14dada08f164529d9562233e08beb790870eba | [
"MIT"
] | 1 | 2021-04-09T08:31:13.000Z | 2021-04-09T08:31:13.000Z | app/recipe/tests/test_recipe_api.py | grihenrik/django-recipe-app | fd14dada08f164529d9562233e08beb790870eba | [
"MIT"
] | null | null | null | app/recipe/tests/test_recipe_api.py | grihenrik/django-recipe-app | fd14dada08f164529d9562233e08beb790870eba | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.test import TestCase
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APIClient
from core.models import Recipe, Tag, Ingredient
from recipe.serializers import RecipeSerializer, RecipeDetailSerializer
RECIPES... | 32.217391 | 71 | 0.646231 | from django.contrib.auth import get_user_model
from django.test import TestCase
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APIClient
from core.models import Recipe, Tag, Ingredient
from recipe.serializers import RecipeSerializer, RecipeDetailSerializer
RECIPES... | true | true |
08ff8577112d3a523af7b7148a4fb6f29a6ab7da | 80 | py | Python | shap/explainers/other/__init__.py | JiechengZhao/shap | ec26a1e0ccdf0a3885943e63502cf479194c13d1 | [
"MIT"
] | null | null | null | shap/explainers/other/__init__.py | JiechengZhao/shap | ec26a1e0ccdf0a3885943e63502cf479194c13d1 | [
"MIT"
] | null | null | null | shap/explainers/other/__init__.py | JiechengZhao/shap | ec26a1e0ccdf0a3885943e63502cf479194c13d1 | [
"MIT"
] | null | null | null | from .coefficent import CoefficentExplainer
from .random import RandomExplainer
| 26.666667 | 43 | 0.875 | from .coefficent import CoefficentExplainer
from .random import RandomExplainer
| true | true |
08ff85b4f043bf2bf4d4737470b745a7d6209c13 | 541 | py | Python | 0/jump_game2.py | IronCore864/leetcode | a62a4cdde9814ae48997176debcaad537f7ad01f | [
"Apache-2.0"
] | 4 | 2018-03-07T02:56:03.000Z | 2021-06-15T05:43:31.000Z | 0/jump_game2.py | IronCore864/leetcode | a62a4cdde9814ae48997176debcaad537f7ad01f | [
"Apache-2.0"
] | null | null | null | 0/jump_game2.py | IronCore864/leetcode | a62a4cdde9814ae48997176debcaad537f7ad01f | [
"Apache-2.0"
] | 1 | 2021-09-02T12:05:15.000Z | 2021-09-02T12:05:15.000Z | class Solution(object):
def jump(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
step_count = 0
last_jump_max = 0
current_jump_max = 0
for i in range(0, len(nums) - 1):
current_jump_max = max(current_jump_max, i + nums[i])
... | 28.473684 | 65 | 0.508318 | class Solution(object):
def jump(self, nums):
step_count = 0
last_jump_max = 0
current_jump_max = 0
for i in range(0, len(nums) - 1):
current_jump_max = max(current_jump_max, i + nums[i])
if current_jump_max >= len(nums) - 1:
return step_count ... | true | true |
08ff8602dd20465827b020b8d29bbbc2cc9cb061 | 7,067 | py | Python | auto_pose/ae/ae_train.py | HsiaoTsan/AugmentedAutoencoder | c60a96c4c29cf867a797d98bce34ee4dea5f2149 | [
"MIT"
] | 1 | 2020-12-06T03:43:53.000Z | 2020-12-06T03:43:53.000Z | auto_pose/ae/ae_train.py | HsiaoTsan/AugmentedAutoencoder | c60a96c4c29cf867a797d98bce34ee4dea5f2149 | [
"MIT"
] | null | null | null | auto_pose/ae/ae_train.py | HsiaoTsan/AugmentedAutoencoder | c60a96c4c29cf867a797d98bce34ee4dea5f2149 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import configparser
import argparse
import numpy as np
import signal
import shutil
import cv2
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import progressbar
import tensorflow as tf
import ae_factory as factory
import utils as u
def main():
workspace_path = os.environ.get('AE_WORK... | 37.391534 | 132 | 0.632234 | import os
import configparser
import argparse
import numpy as np
import signal
import shutil
import cv2
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import progressbar
import tensorflow as tf
import ae_factory as factory
import utils as u
def main():
workspace_path = os.environ.get('AE_WORKSPACE_PATH')
if wor... | false | true |
08ff862be097f252f590062bf64b78c8a730a84b | 6,231 | py | Python | nasapi/tests/test_api.py | lockwooddev/python-nasapi | b487dd834c91b8a125a10c9b4b996ed2380da498 | [
"MIT"
] | null | null | null | nasapi/tests/test_api.py | lockwooddev/python-nasapi | b487dd834c91b8a125a10c9b4b996ed2380da498 | [
"MIT"
] | null | null | null | nasapi/tests/test_api.py | lockwooddev/python-nasapi | b487dd834c91b8a125a10c9b4b996ed2380da498 | [
"MIT"
] | null | null | null | import os
from datetime import date, datetime
import mock
import pytest
import requests
from requests.exceptions import RequestException
from nasapi import Nasapi, NasapiError
os.environ['NASA_API_KEY'] = 'testkey'
class TestNasapi(object):
def setup(self):
self.api = Nasapi('foo')
self.resp... | 32.118557 | 99 | 0.599583 | import os
from datetime import date, datetime
import mock
import pytest
import requests
from requests.exceptions import RequestException
from nasapi import Nasapi, NasapiError
os.environ['NASA_API_KEY'] = 'testkey'
class TestNasapi(object):
def setup(self):
self.api = Nasapi('foo')
self.resp... | true | true |
08ff8696be6ac4d59e82f501a4700e869584fe9c | 16,717 | py | Python | python/ccxt/async_support/braziliex.py | MBottjer/ccxt | c4644d5a8f6389222df3a36545404d16d0e592f2 | [
"MIT"
] | null | null | null | python/ccxt/async_support/braziliex.py | MBottjer/ccxt | c4644d5a8f6389222df3a36545404d16d0e592f2 | [
"MIT"
] | null | null | null | python/ccxt/async_support/braziliex.py | MBottjer/ccxt | c4644d5a8f6389222df3a36545404d16d0e592f2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# PLEASE DO NOT EDIT THIS FILE, IT IS GENERATED AND WILL BE OVERWRITTEN:
# https://github.com/ccxt/ccxt/blob/master/CONTRIBUTING.md#how-to-contribute-code
from ccxt.async_support.base.exchange import Exchange
import hashlib
import math
from ccxt.base.errors import ExchangeError
from ccxt.base.... | 37.482063 | 126 | 0.485733 |
from ccxt.async_support.base.exchange import Exchange
import hashlib
import math
from ccxt.base.errors import ExchangeError
from ccxt.base.errors import AuthenticationError
from ccxt.base.errors import InvalidOrder
class braziliex (Exchange):
def describe(self):
return self.deep_extend(super(braziliex,... | true | true |
08ff87541e832565f6ab910390d18a3d49f43258 | 689 | py | Python | maharashtra/maharashtra_sanityCheck.py | vahini01/electoral_rolls | 82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44 | [
"MIT"
] | 16 | 2018-01-22T02:03:09.000Z | 2022-02-24T07:16:47.000Z | maharashtra/maharashtra_sanityCheck.py | vahini01/electoral_rolls | 82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44 | [
"MIT"
] | 2 | 2019-02-01T02:48:17.000Z | 2020-09-06T06:09:35.000Z | maharashtra/maharashtra_sanityCheck.py | vahini01/electoral_rolls | 82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44 | [
"MIT"
] | 8 | 2018-01-22T06:48:07.000Z | 2021-08-08T16:26:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jan 7 15:05:06 2018
@author: dhingratul
"""
import os
import sys
import pandas as pd
sys.path.insert(0, '../tools/')
import utils
mdir = '../data/Maharashtra/'
direc = os.listdir(mdir)
for i in range(len(direc)):
print(i, "/", len(direc))
fla... | 22.225806 | 60 | 0.629898 |
import os
import sys
import pandas as pd
sys.path.insert(0, '../tools/')
import utils
mdir = '../data/Maharashtra/'
direc = os.listdir(mdir)
for i in range(len(direc)):
print(i, "/", len(direc))
flag = utils.is_valid_pdf(mdir + direc[i])
if flag is False:
with open("maharashtra3.txt", "a") as myfi... | true | true |
08ff87845b455d05d57b370d3e60048716820304 | 40,240 | py | Python | py/desispec/database/redshift.py | ameisner/desispec | d18974396ff2e916e0d8a102cca83607f78f22ce | [
"BSD-3-Clause"
] | null | null | null | py/desispec/database/redshift.py | ameisner/desispec | d18974396ff2e916e0d8a102cca83607f78f22ce | [
"BSD-3-Clause"
] | null | null | null | py/desispec/database/redshift.py | ameisner/desispec | d18974396ff2e916e0d8a102cca83607f78f22ce | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
"""
desispec.database.redshift
==========================
Code for loading spectroscopic pipeline results (specifically redshifts)
into a database.
"""
from __future__ import absolute_import, division, print_function
import os
impo... | 40.687563 | 110 | 0.614637 | from __future__ import absolute_import, division, print_function
import os
import re
import glob
import numpy as np
from astropy.io import fits
from astropy.table import Table
from pytz import utc
from sqlalchemy import (create_engine, event, ForeignKey, Column, DDL,
BigInteger, Boolean, Integ... | true | true |
08ff87c647d75d95c2310ec10be1d2607e2507a5 | 549 | py | Python | blogposts/migrations/0006_auto_20180706_1951.py | prithaupadhyay/code-talk | 1140e78d128c7cf7f7cf08039f3310bcd7cf0a52 | [
"MIT"
] | null | null | null | blogposts/migrations/0006_auto_20180706_1951.py | prithaupadhyay/code-talk | 1140e78d128c7cf7f7cf08039f3310bcd7cf0a52 | [
"MIT"
] | null | null | null | blogposts/migrations/0006_auto_20180706_1951.py | prithaupadhyay/code-talk | 1140e78d128c7cf7f7cf08039f3310bcd7cf0a52 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2018-07-06 14:21
from __future__ import unicode_literals
from django.db import migrations, models
import uuid
class Migration(migrations.Migration):
dependencies = [
('blogposts', '0005_auto_20180706_1924'),
]
operations = [
migratio... | 24.954545 | 134 | 0.653916 | from __future__ import unicode_literals
from django.db import migrations, models
import uuid
class Migration(migrations.Migration):
dependencies = [
('blogposts', '0005_auto_20180706_1924'),
]
operations = [
migrations.AlterField(
model_name='question',
name='que... | true | true |
08ff89066afedf8459b736a96b8ce5997c1121ad | 2,194 | py | Python | openGaussBase/testcase/SYSTEM_CATALOGS&SYSTEM_VIEWS/SYSTEM_TABLE/Opengauss_Function_System_Table_Case0056.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/SYSTEM_CATALOGS&SYSTEM_VIEWS/SYSTEM_TABLE/Opengauss_Function_System_Table_Case0056.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/SYSTEM_CATALOGS&SYSTEM_VIEWS/SYSTEM_TABLE/Opengauss_Function_System_Table_Case0056.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | """
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... | 34.28125 | 119 | 0.623063 |
import sys
import unittest
from yat.test import Node
from yat.test import macro
sys.path.append(sys.path[0] + "/../")
from testcase.utils.Logger import Logger
from testcase.utils.Common import Common
from testcase.utils.CommonSH import CommonSH
logger = Logger()
class IndexFileDamaged(unittest.TestCase):
def s... | true | true |
08ff89346b78a59ab5f5f7055cf78ceee7e8db21 | 1,985 | py | Python | setup.py | Aokigahara23/flask-sqlalchemy | 24350589c4cb5b25769a7b6b3aac7a2f6644fccc | [
"BSD-3-Clause"
] | 2 | 2020-04-09T15:28:49.000Z | 2020-04-18T02:55:16.000Z | setup.py | Aokigahara23/flask-sqlalchemy | 24350589c4cb5b25769a7b6b3aac7a2f6644fccc | [
"BSD-3-Clause"
] | null | null | null | setup.py | Aokigahara23/flask-sqlalchemy | 24350589c4cb5b25769a7b6b3aac7a2f6644fccc | [
"BSD-3-Clause"
] | 1 | 2020-06-19T11:49:30.000Z | 2020-06-19T11:49:30.000Z | import io
import re
from setuptools import setup
with io.open("README.rst", "rt", encoding="utf8") as f:
readme = f.read()
with io.open("flask_sqlalchemy/__init__.py", "rt", encoding="utf8") as f:
version = re.search(r'__version__ = "(.*?)"', f.read(), re.M).group(1)
setup(
name="Flask-SQLAlchemy",
... | 38.921569 | 78 | 0.623678 | import io
import re
from setuptools import setup
with io.open("README.rst", "rt", encoding="utf8") as f:
readme = f.read()
with io.open("flask_sqlalchemy/__init__.py", "rt", encoding="utf8") as f:
version = re.search(r'__version__ = "(.*?)"', f.read(), re.M).group(1)
setup(
name="Flask-SQLAlchemy",
... | true | true |
08ff893ccbc78b254dd3c4d85cf48585e2974714 | 3,649 | py | Python | functioning_implementations/own_algorithm_no_trigger/run_mujoco.py | DDTR/learning_task2 | 3a235edb6515d1c83dee996d90df7da11661fb61 | [
"CNRI-Python"
] | null | null | null | functioning_implementations/own_algorithm_no_trigger/run_mujoco.py | DDTR/learning_task2 | 3a235edb6515d1c83dee996d90df7da11661fb61 | [
"CNRI-Python"
] | null | null | null | functioning_implementations/own_algorithm_no_trigger/run_mujoco.py | DDTR/learning_task2 | 3a235edb6515d1c83dee996d90df7da11661fb61 | [
"CNRI-Python"
] | null | null | null | # Copyright (c) 2020 Max Planck Gesellschaft
# !/usr/bin/env python
from baselines.common import set_global_seeds, tf_util as U
from baselines import bench
import os.path as osp
import gym, logging
import pdb
import os
dirname_rel = os.path.dirname(__file__)
splitted = dirname_rel.split("/")
dirname_rel = ("/".join(di... | 37.234694 | 157 | 0.653604 |
from baselines.common import set_global_seeds, tf_util as U
from baselines import bench
import os.path as osp
import gym, logging
import pdb
import os
dirname_rel = os.path.dirname(__file__)
splitted = dirname_rel.split("/")
dirname_rel = ("/".join(dirname_rel.split("/")[:len(splitted)-3])+"/")
from baselines import l... | true | true |
08ff8a216ec583ee2b2223dc9ba95260619965a6 | 2,596 | py | Python | src/Final-NeuralFBProphet/prop_two_optim.py | uniLee1119/Final-NeuralFBProphet | 40caac12a1805da6a061452ea5571b48d6f2bb8f | [
"Apache-2.0"
] | 1 | 2021-05-20T04:12:53.000Z | 2021-05-20T04:12:53.000Z | src/Final-NeuralFBProphet/prop_two_optim.py | uniLee1119/Final-NeuralFBProphet | 40caac12a1805da6a061452ea5571b48d6f2bb8f | [
"Apache-2.0"
] | null | null | null | src/Final-NeuralFBProphet/prop_two_optim.py | uniLee1119/Final-NeuralFBProphet | 40caac12a1805da6a061452ea5571b48d6f2bb8f | [
"Apache-2.0"
] | null | null | null | import argparse
import joblib
import numpy as np
import optuna
from fbprophet import Prophet
from optuna import Trial
from optuna.samplers import TPESampler
from sklearn.metrics import mean_squared_error
from data.dataset import two_seconds_dataset
parse = argparse.ArgumentParser("Optimize")
parse.add_argument("--pa... | 32.860759 | 80 | 0.673729 | import argparse
import joblib
import numpy as np
import optuna
from fbprophet import Prophet
from optuna import Trial
from optuna.samplers import TPESampler
from sklearn.metrics import mean_squared_error
from data.dataset import two_seconds_dataset
parse = argparse.ArgumentParser("Optimize")
parse.add_argument("--pa... | true | true |
08ff8a3a76dbf42d203a3c5b893122aa33d23897 | 10,528 | py | Python | configs/common/CacheConfig.py | fwillard/gem5_arc | a874f6d918351111cfbec93bfc5a4f7156b835dd | [
"BSD-3-Clause"
] | null | null | null | configs/common/CacheConfig.py | fwillard/gem5_arc | a874f6d918351111cfbec93bfc5a4f7156b835dd | [
"BSD-3-Clause"
] | null | null | null | configs/common/CacheConfig.py | fwillard/gem5_arc | a874f6d918351111cfbec93bfc5a4f7156b835dd | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2012-2013, 2015-2016 ARM Limited
# All rights reserved
#
# The license below extends only to copyright in the software and shall
# not be construed as granting a license to any other intellectual
# property including but not limited to intellectual property relating
# to a hardware implementation of the... | 45.184549 | 79 | 0.634498 |
from __future__ import print_function
from __future__ import absolute_import
import m5
from m5.objects import *
from .Caches import *
from common import ObjectList
def config_cache(options, system):
if options.external_memory_system and (options.caches or options.l2cache):
print("External caches and int... | true | true |
08ff8aeab2b8ead46193ee48ec62b7631b0e1f72 | 870 | py | Python | python/ch_16_send_tweet.py | huaiyang/raspberrypi_cookbook_ed3 | faf63b37bf94332120f3d3a9cb31d8b0990d2f17 | [
"MIT"
] | 65 | 2018-11-23T08:52:42.000Z | 2022-03-25T23:19:21.000Z | python/ch_16_send_tweet.py | zeitguy/raspberrypi_cookbook_ed3 | bccf35ea309f493c1a45c3b96dec45dc7cebb0d9 | [
"MIT"
] | 1 | 2020-11-27T15:04:33.000Z | 2020-11-27T15:04:33.000Z | python/ch_16_send_tweet.py | zeitguy/raspberrypi_cookbook_ed3 | bccf35ea309f493c1a45c3b96dec45dc7cebb0d9 | [
"MIT"
] | 26 | 2019-07-02T16:10:37.000Z | 2022-03-11T16:30:22.000Z | import time, os
import requests
MAX_TEMP = 37.0
MIN_T_BETWEEN_WARNINGS = 60 # Minutes
BASE_URL = 'https://api.thingspeak.com/apps/thingtweet/1/statuses/update/'
KEY = 'your_key_here'
def send_notification(temp):
status = 'Thingtweet: Raspberry Pi getting hot. CPU temp=' + str(temp)
data = {'api_key' : KEY, ... | 28.064516 | 84 | 0.663218 | import time, os
import requests
MAX_TEMP = 37.0
MIN_T_BETWEEN_WARNINGS = 60
BASE_URL = 'https://api.thingspeak.com/apps/thingtweet/1/statuses/update/'
KEY = 'your_key_here'
def send_notification(temp):
status = 'Thingtweet: Raspberry Pi getting hot. CPU temp=' + str(temp)
data = {'api_key' : KEY, 'status' :... | true | true |
08ff8bf81623b6f46121c3c30309d17fce902d67 | 1,461 | py | Python | alipay/aop/api/domain/AnttechAiCvTfjsModelQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/AnttechAiCvTfjsModelQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/AnttechAiCvTfjsModelQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AnttechAiCvTfjsModelQueryModel(object):
def __init__(self):
self._model_code = None
self._model_version = None
@property
def model_code(self):
return self._model_... | 26.089286 | 77 | 0.609856 | import json
from alipay.aop.api.constant.ParamConstants import *
class AnttechAiCvTfjsModelQueryModel(object):
def __init__(self):
self._model_code = None
self._model_version = None
@property
def model_code(self):
return self._model_code
@model_code.setter
def model_cod... | true | true |
08ff8c4479f3814b431e87e0e72ad53c9fd9cdf2 | 324 | py | Python | tests/urls.py | brat000012001/django-oscar-paypal | 37ea5c71c1d4f1e8f0edacfa32561bb521ccc0db | [
"BSD-3-Clause"
] | 4 | 2019-12-26T17:27:12.000Z | 2021-04-30T04:04:47.000Z | tests/urls.py | brat000012001/django-oscar-paypal | 37ea5c71c1d4f1e8f0edacfa32561bb521ccc0db | [
"BSD-3-Clause"
] | null | null | null | tests/urls.py | brat000012001/django-oscar-paypal | 37ea5c71c1d4f1e8f0edacfa32561bb521ccc0db | [
"BSD-3-Clause"
] | 3 | 2016-12-04T08:27:58.000Z | 2018-01-25T05:53:45.000Z | from django.conf.urls import include, url
from django.conf.urls.i18n import i18n_patterns
from oscar.app import application
urlpatterns = [
url(r'^i18n/', include('django.conf.urls.i18n')),
]
urlpatterns += i18n_patterns(
url(r'^checkout/paypal/', include('paypal.express.urls')),
url(r'', application.urls)... | 27 | 62 | 0.719136 | from django.conf.urls import include, url
from django.conf.urls.i18n import i18n_patterns
from oscar.app import application
urlpatterns = [
url(r'^i18n/', include('django.conf.urls.i18n')),
]
urlpatterns += i18n_patterns(
url(r'^checkout/paypal/', include('paypal.express.urls')),
url(r'', application.urls)... | true | true |
08ff8c468e34e3d741617c6c6208cd0ade6cb653 | 4,516 | py | Python | lib/parameters.py | Xutete/Intellectual-Variable-Speed-Limit-Controller | 48ef118fbfe3ce7861bf8172afe27cfe1a7d5d44 | [
"MIT"
] | 1 | 2022-03-15T04:00:36.000Z | 2022-03-15T04:00:36.000Z | lib/parameters.py | Xutete/Intellectual-Variable-Speed-Limit-Controller | 48ef118fbfe3ce7861bf8172afe27cfe1a7d5d44 | [
"MIT"
] | null | null | null | lib/parameters.py | Xutete/Intellectual-Variable-Speed-Limit-Controller | 48ef118fbfe3ce7861bf8172afe27cfe1a7d5d44 | [
"MIT"
] | 2 | 2021-03-29T19:57:20.000Z | 2022-01-08T05:15:39.000Z | import sys
import time
import numpy as np
import torch
import torch.nn as nn
# Define Constants that could be modified
Constants = {
'training_name':'training',
'evaluate_name':'evaluation',
### MEMORY HYPERPARAMETERS
'replay_size': 200000, # number of previo... | 48.55914 | 130 | 0.622453 | import sys
import time
import numpy as np
import torch
import torch.nn as nn
Constants = {
'training_name':'training',
'evaluate_name':'evaluation',
'replay_size': 200000, 'replay_initial': 200000,
'epsilon_frames': 400000, ... | true | true |
08ff8c6c0bf6ac8d3839accfedb1a05e75a32743 | 3,571 | py | Python | tests/test_exceptions.py | patrick-gxg/mashumaro | a6bd88477d30deeb130b19856c0fe9e6e78a78d9 | [
"Apache-2.0"
] | 1 | 2021-04-20T22:40:40.000Z | 2021-04-20T22:40:40.000Z | tests/test_exceptions.py | patrick-gxg/mashumaro | a6bd88477d30deeb130b19856c0fe9e6e78a78d9 | [
"Apache-2.0"
] | null | null | null | tests/test_exceptions.py | patrick-gxg/mashumaro | a6bd88477d30deeb130b19856c0fe9e6e78a78d9 | [
"Apache-2.0"
] | null | null | null | from typing import List
from mashumaro.exceptions import (
InvalidFieldValue,
MissingField,
ThirdPartyModuleNotFoundError,
UnserializableField,
)
def test_missing_field_simple_field_type_name():
exc = MissingField("x", int, object)
assert exc.field_type_name == "builtins.int"
def test_missi... | 31.052174 | 75 | 0.698964 | from typing import List
from mashumaro.exceptions import (
InvalidFieldValue,
MissingField,
ThirdPartyModuleNotFoundError,
UnserializableField,
)
def test_missing_field_simple_field_type_name():
exc = MissingField("x", int, object)
assert exc.field_type_name == "builtins.int"
def test_missi... | true | true |
08ff8ccbbb2517e4e2e6ac46e2eab5a7ba709b0a | 1,281 | py | Python | configs/_base_/datasets/cityscapes_512x512.py | Myyyr/transseg2d | 7664653dec0bf63d96ad3c76fc225d2d7f607e41 | [
"Apache-2.0"
] | null | null | null | configs/_base_/datasets/cityscapes_512x512.py | Myyyr/transseg2d | 7664653dec0bf63d96ad3c76fc225d2d7f607e41 | [
"Apache-2.0"
] | null | null | null | configs/_base_/datasets/cityscapes_512x512.py | Myyyr/transseg2d | 7664653dec0bf63d96ad3c76fc225d2d7f607e41 | [
"Apache-2.0"
] | null | null | null | _base_ = './cityscapes.py'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
crop_size = (512, 512)
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='LoadAnnotations'),
dict(type='Resize', img_scale=(2049, 1025), ratio_range=(0.5, 2.0)),
dict(... | 35.583333 | 77 | 0.619048 | _base_ = './cityscapes.py'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
crop_size = (512, 512)
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='LoadAnnotations'),
dict(type='Resize', img_scale=(2049, 1025), ratio_range=(0.5, 2.0)),
dict(... | true | true |
08ff8d26620471a0cb824f21b1ae77cf0e65b22a | 340 | py | Python | ex085.py | renatocortez/ExerciciosPython | 9095e1666953faf18c8e5d20b8d0fc3b2493a092 | [
"MIT"
] | null | null | null | ex085.py | renatocortez/ExerciciosPython | 9095e1666953faf18c8e5d20b8d0fc3b2493a092 | [
"MIT"
] | null | null | null | ex085.py | renatocortez/ExerciciosPython | 9095e1666953faf18c8e5d20b8d0fc3b2493a092 | [
"MIT"
] | null | null | null | num = [[], []]
valor = 0
for c in range(1, 8):
valor = int(input(f'Digite o {c}º valor: '))
if valor % 2 == 0:
num[0].append(valor)
else:
num[1].append(valor)
print('-=' * 30)
num[0].sort()
num[1].sort()
print(f'Os valores pares digitados foram {num[0]}.')
print(f'Os valores ímpares digitado... | 24.285714 | 54 | 0.570588 | num = [[], []]
valor = 0
for c in range(1, 8):
valor = int(input(f'Digite o {c}º valor: '))
if valor % 2 == 0:
num[0].append(valor)
else:
num[1].append(valor)
print('-=' * 30)
num[0].sort()
num[1].sort()
print(f'Os valores pares digitados foram {num[0]}.')
print(f'Os valores ímpares digitado... | true | true |
08ff8d3082758f226246aa97202315c88cc1bbff | 2,106 | py | Python | full_incidents/vendors_to_dwh/main.py | Infosecurity-LLC/ETL | d4a431559d8c56ed3826dfe87113fabe9388a114 | [
"Apache-2.0"
] | 1 | 2022-02-04T09:59:57.000Z | 2022-02-04T09:59:57.000Z | full_incidents/vendors_to_dwh/main.py | Infosecurity-LLC/ETL | d4a431559d8c56ed3826dfe87113fabe9388a114 | [
"Apache-2.0"
] | null | null | null | full_incidents/vendors_to_dwh/main.py | Infosecurity-LLC/ETL | d4a431559d8c56ed3826dfe87113fabe9388a114 | [
"Apache-2.0"
] | 1 | 2022-02-04T09:59:58.000Z | 2022-02-04T09:59:58.000Z | import logging
from airflow.hooks.base_hook import BaseHook
from exceptions import SettingFieldMissingError
from full_incidents.vendors_to_dwh.extract import extract
from full_incidents.vendors_to_dwh.load import load
from postgresql_utils.session import create_session
logger = logging.getLogger('vendors_to_dwh')
... | 48.976744 | 110 | 0.801045 | import logging
from airflow.hooks.base_hook import BaseHook
from exceptions import SettingFieldMissingError
from full_incidents.vendors_to_dwh.extract import extract
from full_incidents.vendors_to_dwh.load import load
from postgresql_utils.session import create_session
logger = logging.getLogger('vendors_to_dwh')
... | true | true |
08ff8d652e6877c3843864a694f8848e0f735ef4 | 734 | py | Python | flask_appbuilder/__init__.py | imcj/Flask-AppBuilder | 60185df7a53026ce344ef71fc6e191386d53dfd2 | [
"BSD-3-Clause"
] | null | null | null | flask_appbuilder/__init__.py | imcj/Flask-AppBuilder | 60185df7a53026ce344ef71fc6e191386d53dfd2 | [
"BSD-3-Clause"
] | null | null | null | flask_appbuilder/__init__.py | imcj/Flask-AppBuilder | 60185df7a53026ce344ef71fc6e191386d53dfd2 | [
"BSD-3-Clause"
] | null | null | null | __author__ = "Daniel Vaz Gaspar"
__version__ = "2.1.7"
from .actions import action # noqa: F401
from .api import ModelRestApi # noqa: F401
from .base import AppBuilder # noqa: F401
from .baseviews import BaseView, expose # noqa: F401
from .charts.views import DirectByChartView, GroupByChartView # noqa: F401
from ... | 33.363636 | 85 | 0.739782 | __author__ = "Daniel Vaz Gaspar"
__version__ = "2.1.7"
from .actions import action from .api import ModelRestApi from .base import AppBuilder from .baseviews import BaseView, expose from .charts.views import DirectByChartView, GroupByChartView from .models.group import aggregate_avg, aggregate_count, aggregate_su... | true | true |
08ff8d7df2d0efefeb75df0b063b69a7d43a769e | 2,016 | py | Python | tests/tests/__init__.py | qdqmedia/django-templation | 30f2e71f317bf635ace8cce119aface3fe89e876 | [
"BSD-3-Clause"
] | 7 | 2015-12-14T23:22:12.000Z | 2021-04-15T20:24:23.000Z | tests/tests/__init__.py | qdqmedia/django-templation | 30f2e71f317bf635ace8cce119aface3fe89e876 | [
"BSD-3-Clause"
] | null | null | null | tests/tests/__init__.py | qdqmedia/django-templation | 30f2e71f317bf635ace8cce119aface3fe89e876 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import shutil
import base64
import unittest
from django.contrib.auth import get_user_model
from django.test.client import Client
from webtest import TestApp
from templation import settings
from templation.models import ResourcePointer
class SetUpFolders(unittes... | 31.015385 | 122 | 0.657738 |
import os
import shutil
import base64
import unittest
from django.contrib.auth import get_user_model
from django.test.client import Client
from webtest import TestApp
from templation import settings
from templation.models import ResourcePointer
class SetUpFolders(unittest.TestCase):
def setUp(self):
if o... | true | true |
08ff8e32f546d66f9cdb947b5018979ee4b9667e | 1,533 | py | Python | esv/inlines.py | mintchaos/django_esv | 4393f631e3137f2ad9d38ad13a594ea49655c8c4 | [
"BSD-3-Clause"
] | 1 | 2016-05-09T11:41:57.000Z | 2016-05-09T11:41:57.000Z | esv/inlines.py | mintchaos/django_esv | 4393f631e3137f2ad9d38ad13a594ea49655c8c4 | [
"BSD-3-Clause"
] | null | null | null | esv/inlines.py | mintchaos/django_esv | 4393f631e3137f2ad9d38ad13a594ea49655c8c4 | [
"BSD-3-Clause"
] | null | null | null | from django_inlines.inlines import TemplateInline, InlineUnrenderableError
from esv import esv, PassageNotFoundError, EsvQuotaExceededError
class InlineQuotaExceededError(InlineUnrenderableError):
pass
class InlinePassageNotFoundError(InlineUnrenderableError):
pass
class PassageInline(TemplateInline):
... | 31.285714 | 117 | 0.658839 | from django_inlines.inlines import TemplateInline, InlineUnrenderableError
from esv import esv, PassageNotFoundError, EsvQuotaExceededError
class InlineQuotaExceededError(InlineUnrenderableError):
pass
class InlinePassageNotFoundError(InlineUnrenderableError):
pass
class PassageInline(TemplateInline):
... | true | true |
08ff8e876d591045fd93d4a6e17df3ae27900c9f | 16,597 | py | Python | seaborn/rcmod.py | millerda/seaborn | 5a67fa98ed4efa5b3761f2d9d184fb8addfac6de | [
"MIT",
"BSD-3-Clause"
] | 1 | 2021-12-21T01:08:20.000Z | 2021-12-21T01:08:20.000Z | seaborn/rcmod.py | millerda/seaborn | 5a67fa98ed4efa5b3761f2d9d184fb8addfac6de | [
"MIT",
"BSD-3-Clause"
] | 1 | 2021-03-30T17:43:55.000Z | 2021-03-30T21:02:47.000Z | seaborn/rcmod.py | millerda/seaborn | 5a67fa98ed4efa5b3761f2d9d184fb8addfac6de | [
"MIT",
"BSD-3-Clause"
] | null | null | null | """Control plot style and scaling using the matplotlib rcParams interface."""
import warnings
import functools
import matplotlib as mpl
from cycler import cycler
from . import palettes
__all__ = ["set_theme", "set", "reset_defaults", "reset_orig",
"axes_style", "set_style", "plotting_context", "set_context... | 30.067029 | 79 | 0.605109 | import warnings
import functools
import matplotlib as mpl
from cycler import cycler
from . import palettes
__all__ = ["set_theme", "set", "reset_defaults", "reset_orig",
"axes_style", "set_style", "plotting_context", "set_context",
"set_palette"]
_style_keys = [
"axes.facecolor",
"axe... | true | true |
08ff8fb99875a31fc1478ee6c7a217d7617bf366 | 251 | py | Python | modules/nou.py | Iangecko/arbys | 5b2e4b4e511d5721d6a1cc447b8fbf9be43fa909 | [
"MIT"
] | null | null | null | modules/nou.py | Iangecko/arbys | 5b2e4b4e511d5721d6a1cc447b8fbf9be43fa909 | [
"MIT"
] | null | null | null | modules/nou.py | Iangecko/arbys | 5b2e4b4e511d5721d6a1cc447b8fbf9be43fa909 | [
"MIT"
] | null | null | null | from client import client
import discord
@client.message()
async def nou(message: discord.Message):
if message.content.lower().endswith("arbys shut down"):
try:
await message.channel.send("no u")
except: # that's fine, we don't care
pass | 22.818182 | 56 | 0.717131 | from client import client
import discord
@client.message()
async def nou(message: discord.Message):
if message.content.lower().endswith("arbys shut down"):
try:
await message.channel.send("no u")
except: pass | true | true |
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