hexsha stringlengths 40 40 | size int64 4 996k | ext stringclasses 8
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 245 | max_stars_repo_name stringlengths 6 130 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 245 | max_issues_repo_name stringlengths 6 130 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 245 | max_forks_repo_name stringlengths 6 130 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 4 996k | avg_line_length float64 1.33 58.2k | max_line_length int64 2 323k | alphanum_fraction float64 0 0.97 | content_no_comment stringlengths 0 946k | is_comment_constant_removed bool 2
classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f72128c8178af94dd8a0a21b6e9bdb1ebcf3a076 | 2,575 | py | Python | graphs/karger.py | jenia90/Python | 696fb4a681ad9e4d84e0d2b894daf449a3e30b24 | [
"MIT"
] | 145,614 | 2016-07-21T05:40:05.000Z | 2022-03-31T22:17:22.000Z | graphs/karger.py | Agha-Muqarib/Python | 04f156a8973d6156a4357e0717d9eb0aa264d086 | [
"MIT"
] | 3,987 | 2016-07-28T17:31:25.000Z | 2022-03-30T23:07:46.000Z | graphs/karger.py | Agha-Muqarib/Python | 04f156a8973d6156a4357e0717d9eb0aa264d086 | [
"MIT"
] | 40,014 | 2016-07-26T15:14:41.000Z | 2022-03-31T22:23:03.000Z | """
An implementation of Karger's Algorithm for partitioning a graph.
"""
from __future__ import annotations
import random
# Adjacency list representation of this graph:
# https://en.wikipedia.org/wiki/File:Single_run_of_Karger%E2%80%99s_Mincut_algorithm.svg
TEST_GRAPH = {
"1": ["2", "3", "4", "5"],
"2": ["1... | 29.597701 | 88 | 0.572816 |
from __future__ import annotations
import random
TEST_GRAPH = {
"1": ["2", "3", "4", "5"],
"2": ["1", "3", "4", "5"],
"3": ["1", "2", "4", "5", "10"],
"4": ["1", "2", "3", "5", "6"],
"5": ["1", "2", "3", "4", "7"],
"6": ["7", "8", "9", "10", "4"],
"7": ["6", "8", "9", "10", "5"],
"8... | true | true |
f721291ec9a303b02a2cdf00dbe42788ad4a0a98 | 1,661 | py | Python | setup.py | chermed/assembly | 4c993d19bc9d33c1641323e03231e9ecad711b38 | [
"MIT"
] | 176 | 2019-11-16T19:44:08.000Z | 2021-09-10T22:16:04.000Z | setup.py | chermed/assembly | 4c993d19bc9d33c1641323e03231e9ecad711b38 | [
"MIT"
] | 12 | 2019-11-21T02:02:07.000Z | 2020-02-17T21:45:57.000Z | setup.py | chermed/assembly | 4c993d19bc9d33c1641323e03231e9ecad711b38 | [
"MIT"
] | 12 | 2019-11-20T08:07:11.000Z | 2021-02-27T09:52:06.000Z | """
Assembly
"""
import os
from setuptools import setup, find_packages
base_dir = os.path.dirname(__file__)
__about__ = {}
with open(os.path.join(base_dir, "assembly", "about.py")) as f:
exec(f.read(), __about__)
with open('requirements.txt') as f:
install_requires = f.read().splitlines()
with open("READM... | 27.683333 | 81 | 0.615292 |
import os
from setuptools import setup, find_packages
base_dir = os.path.dirname(__file__)
__about__ = {}
with open(os.path.join(base_dir, "assembly", "about.py")) as f:
exec(f.read(), __about__)
with open('requirements.txt') as f:
install_requires = f.read().splitlines()
with open("README.md", "r") as f:... | true | true |
f7212933bf16d8d621d170fadea4f1c611eeef47 | 2,438 | py | Python | .history/postImages/index_20201006214330.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | 2 | 2020-10-21T22:14:15.000Z | 2020-10-21T22:14:16.000Z | .history/postImages/index_20201006214330.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | null | null | null | .history/postImages/index_20201006214330.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | null | null | null | import csv
import requests
df = open("bridgeData3.csv",'r').readlines()
fin = open('final.csv','r').readlines()
finCsv = fin[1:]
# url = https://b2ptc.herokuapp.com/bridges
finalCsv = df[1:]
obj = {}
for i in finalCsv:
x = i.split(',')
obj[x[1]] = {'bridge_name':x[0],'proj_code':x[1],'before_img':x[2],'after_im... | 30.475 | 97 | 0.454471 | import csv
import requests
df = open("bridgeData3.csv",'r').readlines()
fin = open('final.csv','r').readlines()
finCsv = fin[1:]
finalCsv = df[1:]
obj = {}
for i in finalCsv:
x = i.split(',')
obj[x[1]] = {'bridge_name':x[0],'proj_code':x[1],'before_img':x[2],'after_img':x[3][0:-1]}
finalObj = {}
for i in finC... | true | true |
f7212939f549dcbfa9bf8b9ff6fb82924b643d38 | 1,241 | py | Python | harnesses/dict_conv.py | ujjwalsh/oniguruma | 604ea58f210b301d572b9fcf89d6e03fbb1df1f9 | [
"BSD-2-Clause"
] | 1,793 | 2015-07-20T14:14:18.000Z | 2022-03-29T13:00:16.000Z | harnesses/dict_conv.py | ujjwalsh/oniguruma | 604ea58f210b301d572b9fcf89d6e03fbb1df1f9 | [
"BSD-2-Clause"
] | 183 | 2015-09-04T14:00:57.000Z | 2022-03-19T15:52:13.000Z | harnesses/dict_conv.py | ujjwalsh/oniguruma | 604ea58f210b301d572b9fcf89d6e03fbb1df1f9 | [
"BSD-2-Clause"
] | 339 | 2015-09-03T11:13:46.000Z | 2022-03-20T08:21:15.000Z | # -*- coding: utf-8 -*-
# dict_conv.py (Python3 script)
import sys
ENC_UTF16_BE = 1
ENC_UTF16_LE = 2
def add_char(enc, s, c):
if enc == ENC_UTF16_BE:
s += "\\x00"
s += c
if enc == ENC_UTF16_LE:
s += "\\x00"
return s
def conv(enc, s):
n = len(s)
r = ""
i = 0
while i < n:
c = s[i]
i... | 17 | 75 | 0.498791 |
import sys
ENC_UTF16_BE = 1
ENC_UTF16_LE = 2
def add_char(enc, s, c):
if enc == ENC_UTF16_BE:
s += "\\x00"
s += c
if enc == ENC_UTF16_LE:
s += "\\x00"
return s
def conv(enc, s):
n = len(s)
r = ""
i = 0
while i < n:
c = s[i]
if c == '\\':
c = s[i+1]
if c == '\\' or c =... | true | true |
f721296a022523474df762cfe7ddb9431b342931 | 1,300 | py | Python | src/relaxed/infer/hypothesis_test.py | gradhep/smooth | 9ed6f1d622fb5346c46f1b9f62aed886b73fe09a | [
"BSD-3-Clause"
] | 4 | 2020-05-18T17:43:07.000Z | 2020-07-13T12:05:10.000Z | src/relaxed/infer/hypothesis_test.py | gradhep/relaxed | 9ed6f1d622fb5346c46f1b9f62aed886b73fe09a | [
"BSD-3-Clause"
] | 13 | 2021-05-13T20:59:55.000Z | 2022-03-25T12:04:44.000Z | src/relaxed/infer/hypothesis_test.py | gradhep/relaxed | 9ed6f1d622fb5346c46f1b9f62aed886b73fe09a | [
"BSD-3-Clause"
] | 3 | 2020-05-21T13:24:10.000Z | 2021-04-22T12:36:33.000Z | """Calculate expected CLs values with hypothesis tests."""
from __future__ import annotations
__all__ = ("hypotest",)
from functools import partial
import jax.numpy as jnp
import pyhf
from chex import Array
from jax import jit
from ..mle import fit, fixed_poi_fit
@partial(jit, static_argnames=["model", "return_ml... | 30.232558 | 81 | 0.698462 | from __future__ import annotations
__all__ = ("hypotest",)
from functools import partial
import jax.numpy as jnp
import pyhf
from chex import Array
from jax import jit
from ..mle import fit, fixed_poi_fit
@partial(jit, static_argnames=["model", "return_mle_pars"])
def hypotest(
test_poi: float,
data: Ar... | true | true |
f7212c9ffcc95acbd3066fc3058f89d2b03ec98b | 1,750 | py | Python | cheeseprism/event.py | msabramo/CheesePrism | 3880528fb5a83fc650860d41e77729853081d404 | [
"BSD-2-Clause"
] | null | null | null | cheeseprism/event.py | msabramo/CheesePrism | 3880528fb5a83fc650860d41e77729853081d404 | [
"BSD-2-Clause"
] | null | null | null | cheeseprism/event.py | msabramo/CheesePrism | 3880528fb5a83fc650860d41e77729853081d404 | [
"BSD-2-Clause"
] | null | null | null | from zope.interface import Attribute
from zope.interface import Interface
from zope.interface import implements
class IIndexEvent(Interface):
"""
An lower level event involving the index
"""
class IIndexUpdate(Interface):
"""
An low level event involving the index
"""
class IPackag... | 22.727273 | 93 | 0.668571 | from zope.interface import Attribute
from zope.interface import Interface
from zope.interface import implements
class IIndexEvent(Interface):
class IIndexUpdate(Interface):
class IPackageEvent(IIndexEvent):
path = Attribute('Path to package')
class IPackageAdded(IPackageEvent):
class IPackageRemov... | true | true |
f7212d29fbadd9f4d8375d99f948230868b7821d | 520 | py | Python | tests/test_parallel.py | seznam/flexp | 84043150a80474809d066a06db02cbbd858f349e | [
"BSD-3-Clause"
] | 6 | 2018-05-30T10:41:56.000Z | 2020-08-05T16:47:54.000Z | tests/test_parallel.py | seznam/flexp | 84043150a80474809d066a06db02cbbd858f349e | [
"BSD-3-Clause"
] | 39 | 2018-07-11T14:44:01.000Z | 2019-08-06T12:27:43.000Z | tests/test_parallel.py | seznam/flexp | 84043150a80474809d066a06db02cbbd858f349e | [
"BSD-3-Clause"
] | 3 | 2018-07-11T14:54:39.000Z | 2019-04-07T04:47:29.000Z | from __future__ import print_function
import time
import unittest
from flexp.flow.parallel import parallelize
def add_two(x):
return x + 2
class TestParallel(unittest.TestCase):
def test_parallel(self):
count = 50
data = range(0, count)
start = time.clock()
res = list(par... | 20.8 | 55 | 0.617308 | from __future__ import print_function
import time
import unittest
from flexp.flow.parallel import parallelize
def add_two(x):
return x + 2
class TestParallel(unittest.TestCase):
def test_parallel(self):
count = 50
data = range(0, count)
start = time.clock()
res = list(par... | true | true |
f7212eed7b4fc035239879fd2bda4106c25fb513 | 2,399 | py | Python | CNN/extract.py | skywolf829/CSE5559_Final_Project | c7b29e6fc0cbfd81252edbadaa0d733a0c24bee7 | [
"MIT"
] | null | null | null | CNN/extract.py | skywolf829/CSE5559_Final_Project | c7b29e6fc0cbfd81252edbadaa0d733a0c24bee7 | [
"MIT"
] | null | null | null | CNN/extract.py | skywolf829/CSE5559_Final_Project | c7b29e6fc0cbfd81252edbadaa0d733a0c24bee7 | [
"MIT"
] | 1 | 2020-05-02T05:58:55.000Z | 2020-05-02T05:58:55.000Z | ## Basic Python libraries
import os
from PIL import Image
## Deep learning and array processing libraries
import numpy as np
import torch
import torch.nn.functional as F
import torchvision
import torchvision.transforms as transforms
## Inner-project imports
from model import EncoderCNN, DecoderRNN
##### Code begi... | 28.903614 | 132 | 0.709462 | rt Image
.nn.functional as F
import torchvision
import torchvision.transforms as transforms
derCNN, DecoderRNN
ork_directory}encoder-5-3000.pkl'
if torch.cuda.is_available():
compute_device = torch.device('cuda:0')
else:
compute_device = torch.device('cpu')
print(f'Using device: {compute_device}')
tran... | true | true |
f72130741418bf63d0a3ae4aa5d952c8d92a5ac0 | 72 | py | Python | python/dcf-tools/dcf2dev/__init__.py | tshu/lely-core | fd0ceff2db726af6d2a766039a0b5a6d33d056e8 | [
"Apache-2.0"
] | 4 | 2020-12-27T11:31:57.000Z | 2022-02-09T11:32:08.000Z | python/dcf-tools/dcf2dev/__init__.py | DroidDrive/lely-core | 2ec4560f513264a53d2afaedecdae4a49a39023c | [
"Apache-2.0"
] | null | null | null | python/dcf-tools/dcf2dev/__init__.py | DroidDrive/lely-core | 2ec4560f513264a53d2afaedecdae4a49a39023c | [
"Apache-2.0"
] | 1 | 2022-01-03T01:41:59.000Z | 2022-01-03T01:41:59.000Z | from .cdevice import CDevice, CObject, CSubObject, CValue # noqa: F401
| 36 | 71 | 0.763889 | from .cdevice import CDevice, CObject, CSubObject, CValue
| true | true |
f72130c7c2fc80d8513e06cfe21833534c1bec7a | 1,022 | py | Python | tools/grafana/daemon/lib/parse/sen_bin_parse.py | Flowm/move-on-helium-sensors | 3794d38671e1976c9801bcb8a9639465cdddb731 | [
"Apache-2.0"
] | 1 | 2021-11-11T01:49:28.000Z | 2021-11-11T01:49:28.000Z | tools/grafana/daemon/lib/parse/sen_bin_parse.py | Flowm/move-on-helium-sensors | 3794d38671e1976c9801bcb8a9639465cdddb731 | [
"Apache-2.0"
] | null | null | null | tools/grafana/daemon/lib/parse/sen_bin_parse.py | Flowm/move-on-helium-sensors | 3794d38671e1976c9801bcb8a9639465cdddb731 | [
"Apache-2.0"
] | null | null | null | import logging
from subprocess import Popen, PIPE, STDOUT
from lib.parse.sen_ascii_parse import SenAsciiParse
class SenBinParse:
def __init__(self):
self.ascii_parser = SenAsciiParse()
def parse_packet(self, packet, with_header=True):
if len(packet) < 10:
return
length = ... | 28.388889 | 106 | 0.596869 | import logging
from subprocess import Popen, PIPE, STDOUT
from lib.parse.sen_ascii_parse import SenAsciiParse
class SenBinParse:
def __init__(self):
self.ascii_parser = SenAsciiParse()
def parse_packet(self, packet, with_header=True):
if len(packet) < 10:
return
length = ... | true | true |
f72130ca917b168f52b2f7177e043fcb23096456 | 1,897 | py | Python | tools/concatlibs.py | ZECTBynmo/tacnode | 344d0a10b3766c47538e4917e0ef4d59e07f9b9e | [
"BSD-2-Clause"
] | 28 | 2015-01-28T11:17:04.000Z | 2022-02-07T12:48:22.000Z | tools/concatlibs.py | ZECTBynmo/tacnode | 344d0a10b3766c47538e4917e0ef4d59e07f9b9e | [
"BSD-2-Clause"
] | null | null | null | tools/concatlibs.py | ZECTBynmo/tacnode | 344d0a10b3766c47538e4917e0ef4d59e07f9b9e | [
"BSD-2-Clause"
] | 5 | 2015-01-29T19:34:45.000Z | 2019-03-17T11:15:26.000Z | import os
import sys
##############
# NOTE: You will need to build boost
# On windows, use the following command from the visual studio command
# prompt (after running boostrap.bat)
#
# bjam --build-dir=c:\boost --build-type=complete --toolset=msvc-9.0 address-model=64 architecture=x86 --with-system
##############
cu... | 30.596774 | 153 | 0.698471 | import os
import sys
gd-1_52.lib";
inputLibs = [
currentPath+'/'+config+"/lib/node.lib",
currentPath+'/build/'+config+"/lib/v8_base.lib",
currentPath+'/build/'+config+"/lib/v8_nosnapshot.lib",
currentPath+'/build/'+config+"/lib/v8_snapshot.lib",
currentPath+'/'+config+"/lib/libuv.lib",
curre... | true | true |
f72130ecddae709848f93c0001cf6167db8fb692 | 3,950 | py | Python | google/ads/google_ads/v4/proto/enums/mobile_app_vendor_pb2.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | 1 | 2021-04-09T04:28:47.000Z | 2021-04-09T04:28:47.000Z | google/ads/google_ads/v4/proto/enums/mobile_app_vendor_pb2.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v4/proto/enums/mobile_app_vendor_pb2.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/ads/googleads_v4/proto/enums/mobile_app_vendor.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 impor... | 38.72549 | 649 | 0.786076 |
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 ... | true | true |
f72131ada34d81d06455b0c8be1ca2dd4d1e24ee | 5,159 | py | Python | checkpoints/sum/train/hotel_mask/batch_size_16-notes_new_subword/code_snapshot/generate_from_lm.py | Saibo-creator/Text-Summrize-Project | d5ce54193110452a18cc0b223360c2bd004b4b28 | [
"Apache-2.0"
] | null | null | null | checkpoints/sum/train/hotel_mask/batch_size_16-notes_new_subword/code_snapshot/generate_from_lm.py | Saibo-creator/Text-Summrize-Project | d5ce54193110452a18cc0b223360c2bd004b4b28 | [
"Apache-2.0"
] | null | null | null | checkpoints/sum/train/hotel_mask/batch_size_16-notes_new_subword/code_snapshot/generate_from_lm.py | Saibo-creator/Text-Summrize-Project | d5ce54193110452a18cc0b223360c2bd004b4b28 | [
"Apache-2.0"
] | null | null | null | # generate_from_lm.py
"""
Load a trained language model and generate text
Example usage:
PYTHONPATH=. python generate_from_lm.py \
--init="Although the food" --tau=0.5 \
--sample_method=gumbel --g_eps=1e-5 \
--load_model='checkpoints/lm/mlstm/hotel/batch_size_64/lm_e9_2.93.pt' \
--dataset='hotel' --cpu=1 --sample_met... | 33.070513 | 104 | 0.629192 |
import pdb
import torch
import torch.nn as nn
from models.custom_parallel import DataParallelModel
from models.mlstm import StackedLSTMEncoderDecoder
from models.nn_utils import move_to_cuda, setup_gpus, logits_to_prob, prob_to_vocab_id
from project_settings import HParams, PAD_ID, DatasetConfig
from utils import l... | true | true |
f721321d98af2205ce169d3d88af0b431e7731ea | 1,235 | py | Python | sysinv/sysinv/sysinv/sysinv/objects/interface_base.py | etaivan/stx-config | 281e1f110973f96e077645fb01f67b646fc253cc | [
"Apache-2.0"
] | null | null | null | sysinv/sysinv/sysinv/sysinv/objects/interface_base.py | etaivan/stx-config | 281e1f110973f96e077645fb01f67b646fc253cc | [
"Apache-2.0"
] | null | null | null | sysinv/sysinv/sysinv/sysinv/objects/interface_base.py | etaivan/stx-config | 281e1f110973f96e077645fb01f67b646fc253cc | [
"Apache-2.0"
] | 1 | 2021-01-05T16:24:58.000Z | 2021-01-05T16:24:58.000Z | #
# Copyright (c) 2013-2016 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# coding=utf-8
#
from sysinv.db import api as db_api
from sysinv.objects import base
from sysinv.objects import utils
def _get_interface_name_list(field, db_object):
ifnames... | 25.204082 | 53 | 0.637247 |
from sysinv.db import api as db_api
from sysinv.objects import base
from sysinv.objects import utils
def _get_interface_name_list(field, db_object):
ifnames = []
for i in db_object[field]:
ifnames.append(i['ifname'])
return ifnames
class InterfaceBase(base.SysinvObject):
dbapi = d... | true | true |
f72133aff214d90410fb19b8ccb50eafa1390f3b | 12,732 | py | Python | datalad/customremotes/tests/test_archives.py | christinerogers/datalad | 8b91f3767b45371e213aa7ade146a290a13c00f2 | [
"MIT"
] | 1 | 2021-06-11T19:54:19.000Z | 2021-06-11T19:54:19.000Z | datalad/customremotes/tests/test_archives.py | christinerogers/datalad | 8b91f3767b45371e213aa7ade146a290a13c00f2 | [
"MIT"
] | 1 | 2019-08-30T14:45:33.000Z | 2019-08-30T14:45:33.000Z | datalad/customremotes/tests/test_archives.py | christinerogers/datalad | 8b91f3767b45371e213aa7ade146a290a13c00f2 | [
"MIT"
] | null | null | null | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ##... | 37.011628 | 116 | 0.654807 |
"VERSION 1", re_=True, match=False)
ok_file_has_content(protocol_file, "GETAVAILABILITY", re_=True, match=False)
ok_file_has_content(protocol_file, "#!/bin/bash", re_=True, match=False)
else:
assert_false(isinstance(annex.cmd_call_wrapper.protocol, AnnexExchangeProtocol))
# verify th... | true | true |
f7213680738375f96a2084c20c14a5024e5d194e | 5,679 | py | Python | salt/states/postgres_extension.py | trebuchet-deploy/salt | dcdf1148248912a4592f0f48d2303903588729cc | [
"Apache-2.0"
] | null | null | null | salt/states/postgres_extension.py | trebuchet-deploy/salt | dcdf1148248912a4592f0f48d2303903588729cc | [
"Apache-2.0"
] | null | null | null | salt/states/postgres_extension.py | trebuchet-deploy/salt | dcdf1148248912a4592f0f48d2303903588729cc | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Management of PostgreSQL extensions (e.g.: postgis)
===================================================
The postgres_extensions module is used to create and manage Postgres extensions.
.. code-block:: yaml
adminpack:
postgres_extension.present
'''
# Import Python libs
import lo... | 26.537383 | 80 | 0.559606 |
import logging
from salt.modules import postgres
log = logging.getLogger(__name__)
def __virtual__():
return 'postgres.create_extension' in __salt__
def present(name,
if_not_exists=None,
schema=None,
ext_version=None,
from_version=None,
user=None... | true | true |
f72136d4758f64cffd134ac0eafb88595992711c | 10,305 | py | Python | fairseq/progress_bar.py | jxhe/fairseq | 214e3fed5619733efa4f1f82c61db58e5ce08ad8 | [
"MIT"
] | null | null | null | fairseq/progress_bar.py | jxhe/fairseq | 214e3fed5619733efa4f1f82c61db58e5ce08ad8 | [
"MIT"
] | null | null | null | fairseq/progress_bar.py | jxhe/fairseq | 214e3fed5619733efa4f1f82c61db58e5ce08ad8 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Wrapper around various loggers and progress bars (e.g., tqdm).
"""
from collections import OrderedDict
from contextlib import contextmana... | 33.028846 | 104 | 0.612033 |
from collections import OrderedDict
from contextlib import contextmanager
import json
import logging
from numbers import Number
import os
import sys
import torch
from fairseq import distributed_utils
from fairseq.meters import AverageMeter, StopwatchMeter, TimeMeter
logger = logging.getLogger(__name__)
def ... | true | true |
f72137bf78f559bfe97edbab30e7988e13d94b58 | 327 | py | Python | truck_microservice/truck_microservice/urls.py | getnosleep/VirtualUnjam | bae08eec9756c963dab409c6e4e7397ef019cc8a | [
"MIT"
] | null | null | null | truck_microservice/truck_microservice/urls.py | getnosleep/VirtualUnjam | bae08eec9756c963dab409c6e4e7397ef019cc8a | [
"MIT"
] | null | null | null | truck_microservice/truck_microservice/urls.py | getnosleep/VirtualUnjam | bae08eec9756c963dab409c6e4e7397ef019cc8a | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import path, include
from rest_framework import routers
router = routers.DefaultRouter()
urlpatterns = [
path('', include(router.urls)),
path('api-auth/', include('rest_framework.urls')),
path('admin/', admin.site.urls),
path('api/', include('truck.urls... | 27.25 | 54 | 0.700306 | from django.contrib import admin
from django.urls import path, include
from rest_framework import routers
router = routers.DefaultRouter()
urlpatterns = [
path('', include(router.urls)),
path('api-auth/', include('rest_framework.urls')),
path('admin/', admin.site.urls),
path('api/', include('truck.urls... | true | true |
f72137f9085fd5053b6df852024426c114db9e8c | 7,174 | py | Python | cogdl/models/emb/netsmf.py | wsyCUHK/cogdl | 7a0e36326fc653d85378e3845ec14ebd9425a9b6 | [
"MIT"
] | 1 | 2021-12-16T11:53:20.000Z | 2021-12-16T11:53:20.000Z | cogdl/models/emb/netsmf.py | wsyCUHK/cogdl | 7a0e36326fc653d85378e3845ec14ebd9425a9b6 | [
"MIT"
] | null | null | null | cogdl/models/emb/netsmf.py | wsyCUHK/cogdl | 7a0e36326fc653d85378e3845ec14ebd9425a9b6 | [
"MIT"
] | null | null | null | import numpy as np
import networkx as nx
import scipy.sparse as sp
from sklearn import preprocessing
from sklearn.utils.extmath import randomized_svd
from multiprocessing import Pool
from tqdm import tqdm
import time
from cogdl.utils import alias_draw, alias_setup
from .. import BaseModel
class NetSMF(BaseModel):
... | 41.229885 | 117 | 0.598411 | import numpy as np
import networkx as nx
import scipy.sparse as sp
from sklearn import preprocessing
from sklearn.utils.extmath import randomized_svd
from multiprocessing import Pool
from tqdm import tqdm
import time
from cogdl.utils import alias_draw, alias_setup
from .. import BaseModel
class NetSMF(BaseModel):
... | true | true |
f7213978ccd0f01659e3efbbcfb25973a4e526b4 | 877 | py | Python | CTFd/forms/challenges.py | KaitoRyouga/CTFd | 827a22e8ce9bdfd43ae0689e6cbcf2a6e253e920 | [
"Apache-2.0"
] | null | null | null | CTFd/forms/challenges.py | KaitoRyouga/CTFd | 827a22e8ce9bdfd43ae0689e6cbcf2a6e253e920 | [
"Apache-2.0"
] | null | null | null | CTFd/forms/challenges.py | KaitoRyouga/CTFd | 827a22e8ce9bdfd43ae0689e6cbcf2a6e253e920 | [
"Apache-2.0"
] | null | null | null | from wtforms import MultipleFileField, SelectField, StringField
from wtforms.validators import InputRequired
from CTFd.forms import BaseForm
from CTFd.forms.fields import SubmitField
class ChallengeSearchForm(BaseForm):
field = SelectField(
"Search Field",
choices=[
("name"... | 28.290323 | 79 | 0.608894 | from wtforms import MultipleFileField, SelectField, StringField
from wtforms.validators import InputRequired
from CTFd.forms import BaseForm
from CTFd.forms.fields import SubmitField
class ChallengeSearchForm(BaseForm):
field = SelectField(
"Search Field",
choices=[
("name"... | true | true |
f72139a7d81181702d6d08b0921ed75b1e2aa778 | 2,422 | py | Python | staicoin/consensus/block_rewards.py | d00kSI/staicoin-blockchain | 5783a48271c8145c8eea93169df13a9ed32817ad | [
"Apache-2.0"
] | 1 | 2021-12-03T02:39:29.000Z | 2021-12-03T02:39:29.000Z | staicoin/consensus/block_rewards.py | d00kSI/staicoin-blockchain | 5783a48271c8145c8eea93169df13a9ed32817ad | [
"Apache-2.0"
] | null | null | null | staicoin/consensus/block_rewards.py | d00kSI/staicoin-blockchain | 5783a48271c8145c8eea93169df13a9ed32817ad | [
"Apache-2.0"
] | null | null | null | from staicoin.util.ints import uint32, uint64
# 1 stai coin = 1,000,000,000 = 1 billion mojo.
_mojo_per_staicoin = 1000000000
_blocks_per_year = 1681920 # 32 * 6 * 24 * 365
def calculate_pool_reward(height: uint32) -> uint64:
"""
Returns the pool reward at a certain block height. The pool earns 4/5 of the r... | 42.491228 | 116 | 0.67052 | from staicoin.util.ints import uint32, uint64
_mojo_per_staicoin = 1000000000
_blocks_per_year = 1681920
def calculate_pool_reward(height: uint32) -> uint64:
if height == 0:
return uint64(int((992 / 1000) * 55882000 * _mojo_per_staicoin))
elif height < 1 * _blocks_per_year:
return uint64(... | true | true |
f7213d02b27c785ef91695bcb230eaaa02989fb9 | 6,910 | py | Python | nova/objects/migrate_data.py | JohnGarbutt/nova | 21f6f7b63af920aa3a5501603c3debbcd5ec5bc5 | [
"Apache-2.0"
] | null | null | null | nova/objects/migrate_data.py | JohnGarbutt/nova | 21f6f7b63af920aa3a5501603c3debbcd5ec5bc5 | [
"Apache-2.0"
] | null | null | null | nova/objects/migrate_data.py | JohnGarbutt/nova | 21f6f7b63af920aa3a5501603c3debbcd5ec5bc5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 38.603352 | 78 | 0.639363 |
from oslo_log import log
from oslo_serialization import jsonutils
from nova import objects
from nova.objects import base as obj_base
from nova.objects import fields
LOG = log.getLogger(__name__)
@obj_base.NovaObjectRegistry.register_if(False)
class LiveMigrateData(obj_base.NovaObject):
fields = {... | true | true |
f72141757d175109c5dcb045ecabaf1763ea12c7 | 1,249 | py | Python | backend/verify/migrations/0001_initial.py | dabonthatbih/kkr-rest-api | e469183a99bd650c2ab979c4e420c3673b9ec049 | [
"Apache-2.0"
] | 1 | 2019-10-07T11:14:33.000Z | 2019-10-07T11:14:33.000Z | backend/verify/migrations/0001_initial.py | dabonthatbih/kkr-rest-api | e469183a99bd650c2ab979c4e420c3673b9ec049 | [
"Apache-2.0"
] | 15 | 2019-10-07T10:57:58.000Z | 2019-10-13T12:35:19.000Z | backend/verify/migrations/0001_initial.py | dabonthatbih/kkr-rest-api | e469183a99bd650c2ab979c4e420c3673b9ec049 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.6 on 2019-10-06 13:51
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_countries.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependen... | 37.848485 | 122 | 0.604484 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_countries.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
oper... | true | true |
f7214236590167f0e9c078503c47ef27d6da679f | 19,636 | py | Python | tests/models/dsettlement/test_acceptance.py | Deltares/GEOLib | 73c3f325ba40a3e0c586e337541d491f4296f50c | [
"MIT"
] | 4 | 2021-10-29T21:30:47.000Z | 2022-03-18T13:15:17.000Z | tests/models/dsettlement/test_acceptance.py | Deltares/GEOLib | 73c3f325ba40a3e0c586e337541d491f4296f50c | [
"MIT"
] | 3 | 2021-11-05T07:56:16.000Z | 2022-03-27T13:27:05.000Z | tests/models/dsettlement/test_acceptance.py | Deltares/GEOLib | 73c3f325ba40a3e0c586e337541d491f4296f50c | [
"MIT"
] | 4 | 2021-10-29T21:30:51.000Z | 2022-01-17T13:20:40.000Z | import logging
import os
import pathlib
from datetime import timedelta
from pathlib import Path
from typing import List
from warnings import warn
import pydantic
import pytest
from pydantic.color import Color
from teamcity import is_running_under_teamcity
import geolib.models.dsettlement.loads as loads
import geolib.... | 30.443411 | 86 | 0.544052 | import logging
import os
import pathlib
from datetime import timedelta
from pathlib import Path
from typing import List
from warnings import warn
import pydantic
import pytest
from pydantic.color import Color
from teamcity import is_running_under_teamcity
import geolib.models.dsettlement.loads as loads
import geolib.... | true | true |
f7214283b1a050b951ccaeb5b99108ab85e04e6d | 48,023 | py | Python | authortitle/views.py | MLGB3/mysite | 433f245918cfc85f3d42b51e7405ae101160d3cd | [
"Apache-2.0"
] | null | null | null | authortitle/views.py | MLGB3/mysite | 433f245918cfc85f3d42b51e7405ae101160d3cd | [
"Apache-2.0"
] | null | null | null | authortitle/views.py | MLGB3/mysite | 433f245918cfc85f3d42b51e7405ae101160d3cd | [
"Apache-2.0"
] | null | null | null | """
# Setup script for index based on Richard Sharpe's List of Identifications
"""
#--------------------------------------------------------------------------------
import math
from django.template import Context, loader
from django.http import HttpResponse,Http404,HttpResponseRedirect
from djan... | 37.169505 | 106 | 0.596089 |
import math
from django.template import Context, loader
from django.http import HttpResponse,Http404,HttpResponseRedirect
from django.shortcuts import get_object_or_404, render_to_response
from django.core.urlresolvers import reverse
from django.utils.html import escape
from djan... | true | true |
f72142840be762476a0be5e21baec4a6ef055bf3 | 939 | py | Python | lists/models.py | danrneal/superlists | d8e956720429915eaee732020a2c51b884a3d143 | [
"MIT"
] | null | null | null | lists/models.py | danrneal/superlists | d8e956720429915eaee732020a2c51b884a3d143 | [
"MIT"
] | null | null | null | lists/models.py | danrneal/superlists | d8e956720429915eaee732020a2c51b884a3d143 | [
"MIT"
] | null | null | null | from django.core.urlresolvers import reverse
from django.conf import settings
from django.db import models
class List(models.Model):
owner = models.ForeignKey(settings.AUTH_USER_MODEL, blank=True, null=True)
shared_with = models.ManyToManyField(
settings.AUTH_USER_MODEL, related_name='shared_lists'
... | 26.083333 | 78 | 0.681576 | from django.core.urlresolvers import reverse
from django.conf import settings
from django.db import models
class List(models.Model):
owner = models.ForeignKey(settings.AUTH_USER_MODEL, blank=True, null=True)
shared_with = models.ManyToManyField(
settings.AUTH_USER_MODEL, related_name='shared_lists'
... | true | true |
f721429b03aedf2a6362c8a4270184f7d7d464c4 | 4,555 | py | Python | project/ionicv1/main.py | Bhanditz/JavaScriptEnhancements | f87ff0ae9dba99bab69bf4fe4e73ca29d198f81e | [
"MIT"
] | null | null | null | project/ionicv1/main.py | Bhanditz/JavaScriptEnhancements | f87ff0ae9dba99bab69bf4fe4e73ca29d198f81e | [
"MIT"
] | null | null | null | project/ionicv1/main.py | Bhanditz/JavaScriptEnhancements | f87ff0ae9dba99bab69bf4fe4e73ca29d198f81e | [
"MIT"
] | null | null | null | import sublime, sublime_plugin
import os, webbrowser, shlex, json, collections
def ionicv1_ask_custom_path(project_path, type):
sublime.active_window().show_input_panel("Ionic v1 CLI custom path", "ionic", lambda ionicv1_custom_path: ionicv1_prepare_project(project_path, ionicv1_custom_path) if type == "create_new... | 47.947368 | 304 | 0.730626 | import sublime, sublime_plugin
import os, webbrowser, shlex, json, collections
def ionicv1_ask_custom_path(project_path, type):
sublime.active_window().show_input_panel("Ionic v1 CLI custom path", "ionic", lambda ionicv1_custom_path: ionicv1_prepare_project(project_path, ionicv1_custom_path) if type == "create_new... | true | true |
f72142e5ac00cf950ce98fbca8180f0dd514c5e9 | 1,671 | py | Python | cn_proj/USocket.py | Carl-Rabbit/CS305-CN-Proj | d005c32674b7ce3f90e4099c536b3c914e133d7d | [
"Apache-2.0"
] | null | null | null | cn_proj/USocket.py | Carl-Rabbit/CS305-CN-Proj | d005c32674b7ce3f90e4099c536b3c914e133d7d | [
"Apache-2.0"
] | null | null | null | cn_proj/USocket.py | Carl-Rabbit/CS305-CN-Proj | d005c32674b7ce3f90e4099c536b3c914e133d7d | [
"Apache-2.0"
] | null | null | null | from socket import socket, AF_INET, SOCK_DGRAM, inet_aton, inet_ntoa
import time
sockets = {}
network = ('127.0.0.1', 12345)
def bytes_to_addr(bytes):
return inet_ntoa(bytes[:4]), int.from_bytes(bytes[4:8], 'big')
def addr_to_bytes(addr):
return inet_aton(addr[0]) + addr[1].to_bytes(4, 'big')
def get_sen... | 26.109375 | 75 | 0.618791 | from socket import socket, AF_INET, SOCK_DGRAM, inet_aton, inet_ntoa
import time
sockets = {}
network = ('127.0.0.1', 12345)
def bytes_to_addr(bytes):
return inet_ntoa(bytes[:4]), int.from_bytes(bytes[4:8], 'big')
def addr_to_bytes(addr):
return inet_aton(addr[0]) + addr[1].to_bytes(4, 'big')
def get_sen... | true | true |
f721433a67499332ba6e8d52379605bedd3d870c | 408 | py | Python | evan/services/mailer.py | eillarra/evan | befe0f8daedd1b1f629097110d92e68534e43da1 | [
"MIT"
] | null | null | null | evan/services/mailer.py | eillarra/evan | befe0f8daedd1b1f629097110d92e68534e43da1 | [
"MIT"
] | 20 | 2021-03-31T20:10:46.000Z | 2022-02-15T09:58:13.000Z | evan/services/mailer.py | eillarra/evan | befe0f8daedd1b1f629097110d92e68534e43da1 | [
"MIT"
] | null | null | null | from django.core.mail import EmailMultiAlternatives
from django.template.loader import render_to_string
from typing import List
def send_email(
*, from_email: str = "Evan <evan@ugent.be>", to: List[str], subject: str, template: str, context_data: dict
):
text_content = render_to_string(template, context_data)... | 34 | 111 | 0.759804 | from django.core.mail import EmailMultiAlternatives
from django.template.loader import render_to_string
from typing import List
def send_email(
*, from_email: str = "Evan <evan@ugent.be>", to: List[str], subject: str, template: str, context_data: dict
):
text_content = render_to_string(template, context_data)... | true | true |
f721457bba4d592a55104c5e37b8693bb3fe93c6 | 857 | py | Python | posts/migrations/0005_vote.py | MrRezoo/django-social-network | 253afed6f12ed5cb2c22066961ea3fa33727be20 | [
"MIT"
] | 1 | 2021-05-18T08:42:18.000Z | 2021-05-18T08:42:18.000Z | posts/migrations/0005_vote.py | MrRezoo/django-social-network | 253afed6f12ed5cb2c22066961ea3fa33727be20 | [
"MIT"
] | null | null | null | posts/migrations/0005_vote.py | MrRezoo/django-social-network | 253afed6f12ed5cb2c22066961ea3fa33727be20 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.3 on 2021-05-19 19:52
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('posts', '0004_alter_comm... | 34.28 | 140 | 0.654609 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('posts', '0004_alter_comment_reply'),
]
operations = [
... | true | true |
f72145de142e44a5179e105ce79e68d8d169b232 | 7,927 | py | Python | test/functional/qtum_block_header.py | tongshiguanzi/O2O | c11983c922c83cdc97bd754d9f8a0d5a094f004f | [
"MIT"
] | 1 | 2020-07-22T08:45:28.000Z | 2020-07-22T08:45:28.000Z | test/functional/qtum_block_header.py | tongshiguanzi/O2O | c11983c922c83cdc97bd754d9f8a0d5a094f004f | [
"MIT"
] | null | null | null | test/functional/qtum_block_header.py | tongshiguanzi/O2O | c11983c922c83cdc97bd754d9f8a0d5a094f004f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2015-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import *
from tes... | 44.284916 | 292 | 0.692444 |
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import *
from test_framework.blocktools import *
from test_framework.mininode import *
from test_framework.address import *
from test_framework.qtum import *
import time
from test_framework.key import ECKey
from test_framework.... | true | true |
f721490f7323d6f2e9dbcf3d61d3cb7972830a93 | 1,481 | py | Python | addons/destinations/create_cas_destination.py | paataugrekhelidze/model-management-resources | e3cc8719f349f9755690a4cf87f7e75574966e9c | [
"Apache-2.0"
] | 7 | 2020-02-21T02:43:07.000Z | 2021-04-13T15:09:37.000Z | addons/destinations/create_cas_destination.py | paataugrekhelidze/model-management-resources | e3cc8719f349f9755690a4cf87f7e75574966e9c | [
"Apache-2.0"
] | 11 | 2020-03-19T09:49:30.000Z | 2021-05-04T15:32:24.000Z | addons/destinations/create_cas_destination.py | paataugrekhelidze/model-management-resources | e3cc8719f349f9755690a4cf87f7e75574966e9c | [
"Apache-2.0"
] | 17 | 2020-02-17T23:42:37.000Z | 2021-06-16T12:24:49.000Z | # Copyright (c) 2020, SAS Institute Inc., Cary, NC, USA. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
import sys
sys.path.append('..')
import mmAuthorization
import requests
import json
viya_host = "localhost"
port = ":8080"
host_url="http://" + viya_host + port
destination_url = host_url + "/modelPubl... | 27.943396 | 110 | 0.740041 |
import sys
sys.path.append('..')
import mmAuthorization
import requests
import json
viya_host = "localhost"
port = ":8080"
host_url="http://" + viya_host + port
destination_url = host_url + "/modelPublish/destinations/"
mm_auth = mmAuthorization.mmAuthorization("myAuth")
admin_userId = "<SAS_user_admin_ID>"
user... | true | true |
f7214984dd02b1bc0eae58d46c4bc02d9ce3fa79 | 4,206 | py | Python | thimbles/charts/radar_chart.py | quidditymaster/thimbles | b122654a012f0eb4f043d1ee757f884707c97615 | [
"MIT"
] | null | null | null | thimbles/charts/radar_chart.py | quidditymaster/thimbles | b122654a012f0eb4f043d1ee757f884707c97615 | [
"MIT"
] | null | null | null | thimbles/charts/radar_chart.py | quidditymaster/thimbles | b122654a012f0eb4f043d1ee757f884707c97615 | [
"MIT"
] | null | null | null | """
http://matplotlib.org/examples/api/radar_chart.html
Example of creating a radar chart (a.k.a. a spider or star chart) [1]_.
Although this example allows a frame of either 'circle' or 'polygon', polygon
frames don't have proper gridlines (the lines are circles instead of polygons).
It's possible to get a polygon g... | 33.380952 | 79 | 0.622444 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.path import Path
from matplotlib.spines import Spine
from matplotlib.projections.polar import PolarAxes
from matplotlib.projections import register_projection
def radar_factory(num_vars, frame='circle'):
theta = 2*np.pi * np.linspace(0, 1-1.... | true | true |
f7214ba2fb5f78050521fcf3f80e3a68ce4d1155 | 1,826 | py | Python | smlb/feature_selection/feature_selector_sklearn.py | CitrineInformatics/smlb | 28a3689bd36aa8d51031b4faf7e2331bbd8148a9 | [
"Apache-2.0"
] | 6 | 2020-07-27T21:08:55.000Z | 2021-05-04T07:00:29.000Z | smlb/feature_selection/feature_selector_sklearn.py | CitrineInformatics/smlb | 28a3689bd36aa8d51031b4faf7e2331bbd8148a9 | [
"Apache-2.0"
] | 18 | 2020-09-01T00:47:04.000Z | 2021-09-15T22:16:56.000Z | smlb/feature_selection/feature_selector_sklearn.py | CitrineInformatics/smlb | 28a3689bd36aa8d51031b4faf7e2331bbd8148a9 | [
"Apache-2.0"
] | 2 | 2020-08-24T21:50:16.000Z | 2020-12-06T05:18:57.000Z | from smlb import (
params,
Data,
Features,
TabularData,
)
from smlb.feature_selection.selector_protocol_sklearn import SelectorProtocolSklearn
class FeatureSelectorSklearn(Features):
"""Base class for feature selection strategies that use one of scikit-learn's feature selection methods.
This ... | 28.984127 | 116 | 0.633078 | from smlb import (
params,
Data,
Features,
TabularData,
)
from smlb.feature_selection.selector_protocol_sklearn import SelectorProtocolSklearn
class FeatureSelectorSklearn(Features):
def __init__(self, selector: SelectorProtocolSklearn, *args, **kwargs):
super().__init__(*args, **kwargs)
... | true | true |
f7214d90b8586fc89f0cc957a7cf81ccb7d45c94 | 10,292 | py | Python | netket/sampler/metropolis_numpy.py | NetKet/netket | 96758e814fc3128e6821564d6cc2852bac40ecf2 | [
"Apache-2.0"
] | null | null | null | netket/sampler/metropolis_numpy.py | NetKet/netket | 96758e814fc3128e6821564d6cc2852bac40ecf2 | [
"Apache-2.0"
] | null | null | null | netket/sampler/metropolis_numpy.py | NetKet/netket | 96758e814fc3128e6821564d6cc2852bac40ecf2 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The NetKet Authors - All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 33.744262 | 95 | 0.643412 |
import math
from dataclasses import dataclass
from functools import partial
from typing import Any, Tuple, Callable
import numpy as np
from numba import jit
from jax import numpy as jnp
import jax
from netket.hilbert import AbstractHilbert
from netket.utils.mpi import mpi_sum, n_nodes
from netket.utils... | true | true |
f7214da5be355cbd7977e3d4b792fe2a9df91d2e | 393 | py | Python | LSTM/graphs/graph1.py | Anurag14/Inflow-prediction-Bhakra | d440ec552032084991878877ba5154ea2c452264 | [
"MIT"
] | 8 | 2019-05-29T09:07:25.000Z | 2021-12-28T13:53:50.000Z | LSTM/graphs/graph1.py | Anurag14/Inflow-prediction-Bhakra | d440ec552032084991878877ba5154ea2c452264 | [
"MIT"
] | null | null | null | LSTM/graphs/graph1.py | Anurag14/Inflow-prediction-Bhakra | d440ec552032084991878877ba5154ea2c452264 | [
"MIT"
] | 2 | 2019-06-02T17:48:48.000Z | 2022-03-13T01:29:16.000Z | import os
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
df=pd.read_csv('../data1.csv')
df=df.values
#time series vs reservoir levels(ft) graph
sns.set_style('darkgrid')
plt.plot(df[:,0],df[:,1],label="")
plt.plot(df[:,0],df[:,2])
plt.xlabel('Time Series')
plt.ylabel('Reservoir Levels(ft)')
... | 24.5625 | 61 | 0.725191 | import os
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
df=pd.read_csv('../data1.csv')
df=df.values
sns.set_style('darkgrid')
plt.plot(df[:,0],df[:,1],label="")
plt.plot(df[:,0],df[:,2])
plt.xlabel('Time Series')
plt.ylabel('Reservoir Levels(ft)')
plt.title('Dialy Bhakhra Reservoir Levels ... | true | true |
f7214e4b71ef6b1633236cc12a531f99e4afc41e | 7,828 | py | Python | Python_Discord_Bot_JE/venv/Lib/site-packages/discord/asset.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | Python_Discord_Bot_JE/venv/Lib/site-packages/discord/asset.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | Python_Discord_Bot_JE/venv/Lib/site-packages/discord/asset.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
The MIT License (MIT)
Copyright (c) 2015-2020 Rapptz
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the "Software"),
to deal in the Software without restriction, including without limitation
the r... | 33.452991 | 99 | 0.605646 |
import io
from .errors import DiscordException
from .errors import InvalidArgument
from . import utils
VALID_STATIC_FORMATS = frozenset({"jpeg", "jpg", "webp", "png"})
VALID_AVATAR_FORMATS = VALID_STATIC_FORMATS | {"gif"}
class Asset:
__slots__ = ('_state', '_url')
BASE = 'https://cdn.discord... | true | true |
f7214e57978a52886d37352d317afc38f1a60349 | 3,932 | py | Python | tests/unit/dataactvalidator/test_c23_award_financial_1.py | chambers-brian/SIG_Digital-Strategy_SI_ODP_Backend | 3de8cedf69d5a0c9fad8239734bd6291cf583936 | [
"CC0-1.0"
] | null | null | null | tests/unit/dataactvalidator/test_c23_award_financial_1.py | chambers-brian/SIG_Digital-Strategy_SI_ODP_Backend | 3de8cedf69d5a0c9fad8239734bd6291cf583936 | [
"CC0-1.0"
] | null | null | null | tests/unit/dataactvalidator/test_c23_award_financial_1.py | chambers-brian/SIG_Digital-Strategy_SI_ODP_Backend | 3de8cedf69d5a0c9fad8239734bd6291cf583936 | [
"CC0-1.0"
] | null | null | null | from random import choice
from string import ascii_uppercase, ascii_lowercase, digits
from tests.unit.dataactcore.factories.staging import AwardFinancialFactory, AwardProcurementFactory
from tests.unit.dataactvalidator.utils import number_of_errors, query_columns
_FILE = 'c23_award_financial_1'
def test_column_head... | 65.533333 | 164 | 0.739827 | from random import choice
from string import ascii_uppercase, ascii_lowercase, digits
from tests.unit.dataactcore.factories.staging import AwardFinancialFactory, AwardProcurementFactory
from tests.unit.dataactvalidator.utils import number_of_errors, query_columns
_FILE = 'c23_award_financial_1'
def test_column_head... | true | true |
f7214fd6196b206a0fc7264a73b8e0fd22653169 | 1,766 | py | Python | src/main-ja.py | junjihashimoto/wav2vec-2-nix | f104280586cf78d0fc5f280ea013f6bc676cd05e | [
"BSD-3-Clause"
] | null | null | null | src/main-ja.py | junjihashimoto/wav2vec-2-nix | f104280586cf78d0fc5f280ea013f6bc676cd05e | [
"BSD-3-Clause"
] | null | null | null | src/main-ja.py | junjihashimoto/wav2vec-2-nix | f104280586cf78d0fc5f280ea013f6bc676cd05e | [
"BSD-3-Clause"
] | null | null | null |
# https://huggingface.co/vumichien/wav2vec2-large-xlsr-japanese
import torch
import torchaudio
import librosa
from datasets import load_dataset
import MeCab
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
import re
# config
wakati = MeCab.Tagger("-Owakati")
chars_to_ignore_regex = '[\\\\\\\\\\\\\\\\\\\\\\... | 47.72973 | 325 | 0.64043 |
import torch
import torchaudio
import librosa
from datasets import load_dataset
import MeCab
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
import re
wakati = MeCab.Tagger("-Owakati")
chars_to_ignore_regex = '[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\,\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\、\\\\\\\\\\\\\\\\\\\\\\\\\\\... | true | true |
f72150878c28e84523ea2167e57b4bc5ae34cb23 | 1,024 | py | Python | educative/TreesBFS/zigzagTraversal.py | j-dags/Algos | 8201171c983bf8464b1d25526a16493966eb426f | [
"MIT"
] | null | null | null | educative/TreesBFS/zigzagTraversal.py | j-dags/Algos | 8201171c983bf8464b1d25526a16493966eb426f | [
"MIT"
] | null | null | null | educative/TreesBFS/zigzagTraversal.py | j-dags/Algos | 8201171c983bf8464b1d25526a16493966eb426f | [
"MIT"
] | null | null | null | def zigzagTraversal(root):
queue = [root] # initialize queue to root node
result = []
while queue: # iterate through loop while queue is not empty
arr = []
# levelSize prevents us from looping pasts current level in queue
levelSize = len(queue)
for _ in range(levelSize):
# these two lines ... | 20.897959 | 69 | 0.636719 | def zigzagTraversal(root):
queue = [root]
result = []
while queue:
arr = []
levelSize = len(queue)
for _ in range(levelSize):
curr = queue[0]
queue = queue[1:]
if len(result) % 2 == 0: arr.append(curr.val)
else: arr = [curr.val] + arr
if cu... | true | true |
f7215088d8da5bd6c6c28282619051368571f5b9 | 1,260 | py | Python | fix_size.py | Dai-z/label-converters | 0da9bfa620c6ab222ed97b82c256401fcb5804cf | [
"MIT"
] | 1 | 2020-11-16T17:11:43.000Z | 2020-11-16T17:11:43.000Z | fix_size.py | Dai-z/label-converters | 0da9bfa620c6ab222ed97b82c256401fcb5804cf | [
"MIT"
] | null | null | null | fix_size.py | Dai-z/label-converters | 0da9bfa620c6ab222ed97b82c256401fcb5804cf | [
"MIT"
] | null | null | null | import xml.etree.ElementTree as ET
import os
from os import listdir, getcwd
from os.path import join
import argparse
import cv2
classes = []
def convert_annotation(image, args):
if args.anno_dir:
anno_file = join(args.anno_dir, image.split('.')[0]) + '.xml'
if not os.path.isfile(anno_file):
... | 28.636364 | 125 | 0.618254 | import xml.etree.ElementTree as ET
import os
from os import listdir, getcwd
from os.path import join
import argparse
import cv2
classes = []
def convert_annotation(image, args):
if args.anno_dir:
anno_file = join(args.anno_dir, image.split('.')[0]) + '.xml'
if not os.path.isfile(anno_file):
... | true | true |
f721509f3f35df7cb0d1888befa5bc53be9b4653 | 422 | py | Python | tmm/apps/translation_management_tool/migrations/0006_auto_20211105_1444.py | 2567910/tmm | c36bbb508ed8ea4fa8e814af817c5d4f4ae69d4c | [
"MIT"
] | 3 | 2022-03-02T19:30:26.000Z | 2022-03-04T10:55:10.000Z | tmm/apps/translation_management_tool/migrations/0006_auto_20211105_1444.py | 2567910/tmm | c36bbb508ed8ea4fa8e814af817c5d4f4ae69d4c | [
"MIT"
] | 3 | 2022-03-08T12:25:16.000Z | 2022-03-16T22:30:55.000Z | tmm/apps/translation_management_tool/migrations/0006_auto_20211105_1444.py | 2567910/tmm | c36bbb508ed8ea4fa8e814af817c5d4f4ae69d4c | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-11-05 14:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('translation_management_tool', '0005_auto_20211105_1418'),
]
operations = [
migrations.AlterField(
model_name='language',
... | 22.210526 | 67 | 0.625592 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('translation_management_tool', '0005_auto_20211105_1418'),
]
operations = [
migrations.AlterField(
model_name='language',
name='languages',
field=models... | true | true |
f7215171b2591e8446240124dc5466d1022604c1 | 631 | py | Python | locations/items.py | wessport/allthecolleges | 7741ed0bef7359d6d871963c527a3d9e31303c7c | [
"MIT"
] | null | null | null | locations/items.py | wessport/allthecolleges | 7741ed0bef7359d6d871963c527a3d9e31303c7c | [
"MIT"
] | null | null | null | locations/items.py | wessport/allthecolleges | 7741ed0bef7359d6d871963c527a3d9e31303c7c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
# class AddressItem(scrapy.Item):
# # define the fields for your item here like:
# # name = scrapy.Field()
# pass
class AddressItem(scrapy... | 22.535714 | 52 | 0.652932 |
import scrapy
eld()
name = scrapy.Field()
street_address = scrapy.Field()
city = scrapy.Field()
state = scrapy.Field()
postcode = scrapy.Field()
ref = scrapy.Field()
website = scrapy.Field()
extras = scrapy.Field()
| true | true |
f72152194d185954a947a244a1109ed7161112ed | 26,894 | py | Python | tensorflow_estimator/contrib/estimator/python/estimator/rnn.py | CheukNgai/estimator | 673a50bd5ffa70d0672ce47e40f5075f1cbe0a62 | [
"Apache-2.0"
] | null | null | null | tensorflow_estimator/contrib/estimator/python/estimator/rnn.py | CheukNgai/estimator | 673a50bd5ffa70d0672ce47e40f5075f1cbe0a62 | [
"Apache-2.0"
] | null | null | null | tensorflow_estimator/contrib/estimator/python/estimator/rnn.py | CheukNgai/estimator | 673a50bd5ffa70d0672ce47e40f5075f1cbe0a62 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 41.696124 | 112 | 0.704618 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import six
from tensorflow_estimator.contrib.estimator.python.estimator import extenders
from tensorflow.contrib.feature_column.python.feature_column import sequence_feature_column as seq_fc
fro... | true | true |
f72153ee7a89b3a20eafa2cc82f8c626ef1eda68 | 688 | py | Python | uniseg/graphemeclustertest.py | olivier-compilatio/uniseg-python | 8513a59e9c701a173c8001655e592c18f8840b16 | [
"MIT"
] | 2 | 2019-12-28T09:28:43.000Z | 2021-05-11T02:01:47.000Z | uniseg/graphemeclustertest.py | olivier-compilatio/uniseg-python | 8513a59e9c701a173c8001655e592c18f8840b16 | [
"MIT"
] | null | null | null | uniseg/graphemeclustertest.py | olivier-compilatio/uniseg-python | 8513a59e9c701a173c8001655e592c18f8840b16 | [
"MIT"
] | 2 | 2019-07-23T09:11:55.000Z | 2019-10-02T17:13:53.000Z | #!/usr/bin/env python
from __future__ import (absolute_import,
division,
print_function,
unicode_literals)
import doctest
import unittest
from . import graphemecluster
from .db import iter_grapheme_cluster_break_tests
from .test import implement... | 22.933333 | 67 | 0.694767 |
from __future__ import (absolute_import,
division,
print_function,
unicode_literals)
import doctest
import unittest
from . import graphemecluster
from .db import iter_grapheme_cluster_break_tests
from .test import implement_break_tests
@imple... | true | true |
f721549c945034a707dcd61c8eb272e55a908d06 | 6,155 | py | Python | tests/pytest_extension/meta/test_all.py | broglep-work/python-pytest-cases | 4976c0073a2fad5fbe5de34a5d1199efda0b7da9 | [
"BSD-3-Clause"
] | 213 | 2018-07-05T21:21:21.000Z | 2022-03-22T04:54:53.000Z | tests/pytest_extension/meta/test_all.py | broglep-work/python-pytest-cases | 4976c0073a2fad5fbe5de34a5d1199efda0b7da9 | [
"BSD-3-Clause"
] | 259 | 2018-06-22T16:46:33.000Z | 2022-03-23T19:39:15.000Z | tests/pytest_extension/meta/test_all.py | broglep-work/python-pytest-cases | 4976c0073a2fad5fbe5de34a5d1199efda0b7da9 | [
"BSD-3-Clause"
] | 27 | 2019-03-26T12:46:49.000Z | 2022-02-21T16:56:23.000Z | import ast
import os
import shlex
import re
from os.path import join, dirname, isdir, exists
import pytest
from pytest_cases.common_mini_six import string_types
# Make the list of all tests that we will have to execute (each in an independent pytest runner)
THIS_DIR = dirname(__file__)
tests_raw_folder = join(THIS_D... | 36.420118 | 108 | 0.605199 | import ast
import os
import shlex
import re
from os.path import join, dirname, isdir, exists
import pytest
from pytest_cases.common_mini_six import string_types
THIS_DIR = dirname(__file__)
tests_raw_folder = join(THIS_DIR, 'raw')
test_files = [f for f in os.listdir(tests_raw_folder) if not f.startswith('_')]
MET... | true | true |
f72155b9712b48098172994163d1909c6bd06e2b | 959 | py | Python | django_mc2p/__init__.py | mc2p/mc2p-django | a8a245d0a2783a0199e74d2d0396c397c056f0f6 | [
"BSD-2-Clause"
] | null | null | null | django_mc2p/__init__.py | mc2p/mc2p-django | a8a245d0a2783a0199e74d2d0396c397c056f0f6 | [
"BSD-2-Clause"
] | null | null | null | django_mc2p/__init__.py | mc2p/mc2p-django | a8a245d0a2783a0199e74d2d0396c397c056f0f6 | [
"BSD-2-Clause"
] | null | null | null | from mc2p import MC2PClient as MC2PClientPython
__title__ = 'MyChoice2Pay Django'
__version__ = '0.1.3'
__author__ = 'MyChoice2Pay'
__license__ = 'BSD 2-Clause'
__copyright__ = 'Copyright 2017 MyChoice2Pay'
# Version synonym
VERSION = __version__
# Header encoding (see RFC5987)
HTTP_HEADER_ENCODING = 'iso-8859-1'
... | 23.975 | 67 | 0.665276 | from mc2p import MC2PClient as MC2PClientPython
__title__ = 'MyChoice2Pay Django'
__version__ = '0.1.3'
__author__ = 'MyChoice2Pay'
__license__ = 'BSD 2-Clause'
__copyright__ = 'Copyright 2017 MyChoice2Pay'
VERSION = __version__
HTTP_HEADER_ENCODING = 'iso-8859-1'
ISO_8601 = 'iso-8601'
default_app_config = 'dj... | true | true |
f721568c58cfd884ff05085466a0d5440678835f | 19,025 | py | Python | nnunet/inference/pretrained_models/download_pretrained_model.py | Jiawei-Yang/TumorCP | 6053c75642fcbc0fb0424320ab3d758f24883b0e | [
"Apache-2.0"
] | 12 | 2021-07-22T15:08:13.000Z | 2022-03-10T08:15:56.000Z | nnunet/inference/pretrained_models/download_pretrained_model.py | Jiawei-Yang/TumorCP | 6053c75642fcbc0fb0424320ab3d758f24883b0e | [
"Apache-2.0"
] | 1 | 2022-03-07T13:21:42.000Z | 2022-03-07T13:21:42.000Z | nnunet/inference/pretrained_models/download_pretrained_model.py | Jiawei-Yang/TumorCP | 6053c75642fcbc0fb0424320ab3d758f24883b0e | [
"Apache-2.0"
] | 3 | 2021-11-26T06:26:24.000Z | 2022-02-14T01:23:44.000Z | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# 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://w... | 57.304217 | 191 | 0.595848 |
import zipfile
from time import time
import requests
from batchgenerators.utilities.file_and_folder_operations import join, isfile
from nnunet.paths import network_training_output_dir
def get_available_models():
available_models = {
"Task001_BrainTumour": {
'description': "Brain... | true | true |
f72157380ef02e33e2ef0f6f19e81eebfeeb2a1a | 5,318 | py | Python | optimizers/bohb_one_shot/plots/util.py | Mirofil/nasbench-1shot1 | 46637e259691ea2b1ab3b2f1cbbd309068f02cde | [
"Apache-2.0"
] | 65 | 2019-12-20T12:20:22.000Z | 2022-03-12T07:34:08.000Z | optimizers/bohb_one_shot/plots/util.py | crwhite14/nasbench-1shot1 | c34bf9c0222f07a30ba1518b3e52e120a3560aa4 | [
"Apache-2.0"
] | 8 | 2020-01-29T07:49:31.000Z | 2021-10-20T08:58:29.000Z | optimizers/bohb_one_shot/plots/util.py | crwhite14/nasbench-1shot1 | c34bf9c0222f07a30ba1518b3e52e120a3560aa4 | [
"Apache-2.0"
] | 18 | 2020-01-26T08:40:18.000Z | 2021-09-20T15:13:00.000Z | import os
import pickle
import collections
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from IPython import embed
colors={
'BOHB-PC-DARTS': 'darkorange',
'BOHB-DARTS': 'dodgerblue',
'BOHB-GDAS' : 'forestgreen',
'RE': 'crimson',
'RS': 'darkorchid',
'RL': ... | 33.446541 | 95 | 0.531403 | import os
import pickle
import collections
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from IPython import embed
colors={
'BOHB-PC-DARTS': 'darkorange',
'BOHB-DARTS': 'dodgerblue',
'BOHB-GDAS' : 'forestgreen',
'RE': 'crimson',
'RS': 'darkorchid',
'RL': ... | true | true |
f721587995d4a908abf3416954f163ffd9986c6f | 5,391 | py | Python | tools/PolicyAnalysis/Businesses.py | Randal1936/FinancialSupervision | 3d78b1cc662a2c0675ace880a772cc38eaf7672f | [
"MIT"
] | 1 | 2021-08-16T08:47:53.000Z | 2021-08-16T08:47:53.000Z | tools/PolicyAnalysis/Businesses.py | Randal1936/FSML | 3d78b1cc662a2c0675ace880a772cc38eaf7672f | [
"MIT"
] | 16 | 2021-08-02T14:34:52.000Z | 2021-08-04T12:48:06.000Z | tools/PolicyAnalysis/Businesses.py | Randal1936/FinancialSupervision | 3d78b1cc662a2c0675ace880a772cc38eaf7672f | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import xlwings as xw
from PolicyAnalysis import cptj as cj
"""
————————————————————
以下是使用 re 检索+ DFC 映射的数据处理写法
————————————————————
"""
class businesses_re:
def __init__(self, Data, userdict):
self.Data = Data
self.userdict = userdict
data = Data.co... | 34.120253 | 101 | 0.584122 | import pandas as pd
import numpy as np
import xlwings as xw
from PolicyAnalysis import cptj as cj
class businesses_re:
def __init__(self, Data, userdict):
self.Data = Data
self.userdict = userdict
data = Data.copy()
n = cj.txt_to_list(self.userdict)
... | true | true |
f7215945d58449184be2ce4c38342a88d9dfe3a5 | 1,847 | py | Python | accounts/migrations/0002_auto_20200522_2023.py | codertimeless/StudentAssociation | 3f6caf2b362623d4f8cf82bab9529951a375fe6a | [
"Apache-2.0"
] | null | null | null | accounts/migrations/0002_auto_20200522_2023.py | codertimeless/StudentAssociation | 3f6caf2b362623d4f8cf82bab9529951a375fe6a | [
"Apache-2.0"
] | 15 | 2020-03-09T11:56:13.000Z | 2022-02-10T15:03:01.000Z | accounts/migrations/0002_auto_20200522_2023.py | codertimeless/StudentAssociation | 3f6caf2b362623d4f8cf82bab9529951a375fe6a | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.8 on 2020-05-22 20:23
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('management', '0001_initial'),
('accounts', '0001_initial'),
('auth', '0011_update_proxy_... | 41.977273 | 256 | 0.650785 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('management', '0001_initial'),
('accounts', '0001_initial'),
('auth', '0011_update_proxy_permissions'),
]
operations = [
... | true | true |
f72159a07dd981d68fbdfa405294da73b86fbb56 | 593 | py | Python | hashmaps/hash_map_tests.py | informramiz/data-structures-and-algorithms | 7038c8becc4cbad82867c9c8bca42637ca27c8d7 | [
"Apache-2.0"
] | null | null | null | hashmaps/hash_map_tests.py | informramiz/data-structures-and-algorithms | 7038c8becc4cbad82867c9c8bca42637ca27c8d7 | [
"Apache-2.0"
] | null | null | null | hashmaps/hash_map_tests.py | informramiz/data-structures-and-algorithms | 7038c8becc4cbad82867c9c8bca42637ca27c8d7 | [
"Apache-2.0"
] | 1 | 2020-09-24T22:54:52.000Z | 2020-09-24T22:54:52.000Z | from hash_map import HashMap
from asserts.asserts import assert_
def test_hash_map():
hash_map = HashMap(2)
# Test HashMap get and put
key = "abcde"
value = "ramiz"
hash_map.put(key, value)
output = hash_map.get(key)
assert_(value, output)
# Test size
assert_(1, hash_map.size())
... | 19.129032 | 35 | 0.637437 | from hash_map import HashMap
from asserts.asserts import assert_
def test_hash_map():
hash_map = HashMap(2)
key = "abcde"
value = "ramiz"
hash_map.put(key, value)
output = hash_map.get(key)
assert_(value, output)
assert_(1, hash_map.size())
hash_map.delete("abcde")
... | true | true |
f7215b16f3948f7d90fe03e4471250973c15ca0c | 639 | py | Python | davarocr/davarocr/davar_rcg/tools/__init__.py | icedream2/DAVAR-Lab-OCR | c8b82f45516850eeadcab2739fb2a4292f2fdca1 | [
"Apache-2.0"
] | 387 | 2021-01-02T07:50:15.000Z | 2022-03-31T04:30:03.000Z | davarocr/davarocr/davar_rcg/tools/__init__.py | icedream2/DAVAR-Lab-OCR | c8b82f45516850eeadcab2739fb2a4292f2fdca1 | [
"Apache-2.0"
] | 70 | 2021-05-04T18:28:18.000Z | 2022-03-31T14:14:52.000Z | davarocr/davarocr/davar_rcg/tools/__init__.py | icedream2/DAVAR-Lab-OCR | c8b82f45516850eeadcab2739fb2a4292f2fdca1 | [
"Apache-2.0"
] | 83 | 2021-01-05T08:28:26.000Z | 2022-03-31T07:14:03.000Z | """
##################################################################################################
# Copyright Info : Copyright (c) Davar Lab @ Hikvision Research Institute. All rights reserved.
# Filename : __init__.py
# Abstract :
# Current Version: 1.0.0
# Date : 2021-05-01
###... | 31.95 | 98 | 0.450704 | from .test_utils import filter_punctuation, make_paths, show_result_table, results2json, eval_json
__all__ = [
"filter_punctuation",
"make_paths",
"show_result_table",
"results2json",
"eval_json"
]
| true | true |
f7215baa85a5f4afcd2f4643ea78bfc425bfefa5 | 2,586 | py | Python | app/back/settings/routes/api/__init__.py | jgphilpott/polyplot | c46861174ee5881dadffbfb2278d555462523547 | [
"MIT"
] | 5 | 2021-05-17T14:17:14.000Z | 2021-12-14T12:54:32.000Z | app/back/settings/routes/api/__init__.py | jgphilpott/iGraph | 2a91ba57e4950856a83d3a109753f8f2badee829 | [
"MIT"
] | 8 | 2020-02-09T02:48:41.000Z | 2021-05-16T04:57:02.000Z | app/back/settings/routes/api/__init__.py | jgphilpott/iGraph | 2a91ba57e4950856a83d3a109753f8f2badee829 | [
"MIT"
] | 2 | 2016-09-12T03:48:16.000Z | 2019-05-04T14:15:19.000Z | from front.tree.home.api.route import register_api_route
from front.tree.home.api.airports.route import register_api_airports_route
from front.tree.home.api.airports.airport.route import register_api_airport_route
from front.tree.home.api.cities.route import register_api_cities_route
from front.tree.home.api.cities.c... | 35.916667 | 87 | 0.842614 | from front.tree.home.api.route import register_api_route
from front.tree.home.api.airports.route import register_api_airports_route
from front.tree.home.api.airports.airport.route import register_api_airport_route
from front.tree.home.api.cities.route import register_api_cities_route
from front.tree.home.api.cities.c... | true | true |
f7215cea245000030d3205fd74b6800d175f2836 | 1,540 | py | Python | app.py | panubo/sensu-result-proxy | e7b8ee72bfbfadaaa798020630af6f6c5ed36e37 | [
"MIT"
] | null | null | null | app.py | panubo/sensu-result-proxy | e7b8ee72bfbfadaaa798020630af6f6c5ed36e37 | [
"MIT"
] | null | null | null | app.py | panubo/sensu-result-proxy | e7b8ee72bfbfadaaa798020630af6f6c5ed36e37 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import web
import requests
import json
from config import CONFIG_FILE, DEBUG, SENSU_API_URI, SENSU_API_USER, SENSU_API_PASS, load_config, validate_api_key
# SHA2
urls = (
'/', 'Index',
'/results/([A-Fa-f0-9]{64})', 'CheckCollector'
)
api_config = load_config(CONFIG_FILE)
c... | 25.245902 | 115 | 0.619481 |
import os
import web
import requests
import json
from config import CONFIG_FILE, DEBUG, SENSU_API_URI, SENSU_API_USER, SENSU_API_PASS, load_config, validate_api_key
urls = (
'/', 'Index',
'/results/([A-Fa-f0-9]{64})', 'CheckCollector'
)
api_config = load_config(CONFIG_FILE)
class Index(object):
de... | false | true |
f7215cee8919dee9ba60b53f2fdaa5fd496bb91f | 656 | py | Python | testing.py | vuthalab/spectrum-awg | 5edd7eb3b06f877bb6f77359773c9ba2d727c52d | [
"MIT"
] | 1 | 2022-02-28T15:38:57.000Z | 2022-02-28T15:38:57.000Z | testing.py | vuthalab/spectrum-awg | 5edd7eb3b06f877bb6f77359773c9ba2d727c52d | [
"MIT"
] | null | null | null | testing.py | vuthalab/spectrum-awg | 5edd7eb3b06f877bb6f77359773c9ba2d727c52d | [
"MIT"
] | null | null | null | import time
from M4i6622 import *
from Functions.functions import *
#4 functions to be used
def f0(x):
return sin(x)#sin_for_time(60000000, 40000000, 20000,10000, x)
def f1(x):
return sin(x)
def f2(x):
return sin(x,f=1000)
def f3(x):
return x
t0 = time.perf_counter()
... | 15.255814 | 78 | 0.637195 | import time
from M4i6622 import *
from Functions.functions import *
def f0(x):
return sin(x)
def f1(x):
return sin(x)
def f2(x):
return sin(x,f=1000)
def f3(x):
return x
t0 = time.perf_counter()
M4i = M4i6622(channelNum=3,sampleRate=625,clockOut=True,referenceClock=Fa... | true | true |
f7215cf985916a431b4772d83a2ecae8b5f0c458 | 4,513 | py | Python | experiments/exp_movie_5and7.py | Leaflowave/PrivCQ | 8acc6ad0888793fb7fa190a1bd5b4f9eb1140514 | [
"MIT"
] | null | null | null | experiments/exp_movie_5and7.py | Leaflowave/PrivCQ | 8acc6ad0888793fb7fa190a1bd5b4f9eb1140514 | [
"MIT"
] | null | null | null | experiments/exp_movie_5and7.py | Leaflowave/PrivCQ | 8acc6ad0888793fb7fa190a1bd5b4f9eb1140514 | [
"MIT"
] | null | null | null | import group_frequency_oracle as freq
import linecache
import random
def query_on_adult_dim2(oraclePath,oracleInterval,queryPath,trueOraclePath,aggregation="count"):
# adult_2 equal 5 and 7
queriesStr=linecache.getline(queryPath,1)
queries=eval(queriesStr)
answer=[0]*500
trueOracleStr=li... | 48.010638 | 114 | 0.534899 | import group_frequency_oracle as freq
import linecache
import random
def query_on_adult_dim2(oraclePath,oracleInterval,queryPath,trueOraclePath,aggregation="count"):
queriesStr=linecache.getline(queryPath,1)
queries=eval(queriesStr)
answer=[0]*500
trueOracleStr=linecache.getline(trueOrac... | true | true |
f7215e1e2a0a47dea2178844ff22feb957540229 | 7,863 | py | Python | v2ex/babel/ext/upyun.py | igeeker/v2ex | 9fa81f7c82aa7d162a924d357494b241eb8a6207 | [
"BSD-3-Clause"
] | 161 | 2019-07-23T06:53:45.000Z | 2022-03-24T01:07:19.000Z | v2ex/babel/ext/upyun.py | igeeker/v2ex | 9fa81f7c82aa7d162a924d357494b241eb8a6207 | [
"BSD-3-Clause"
] | 1 | 2015-01-19T07:05:54.000Z | 2015-06-02T05:01:38.000Z | v2ex/babel/ext/upyun.py | igeeker/v2ex | 9fa81f7c82aa7d162a924d357494b241eb8a6207 | [
"BSD-3-Clause"
] | 26 | 2019-08-05T06:09:38.000Z | 2021-07-08T02:05:13.000Z | # -*- coding: utf8 -*-
import httplib
import md5 as imd5
import base64
import time
import re
METADATA_PREFIX = 'x-upyun-meta-'
DL = '/'
def md5(src):
m1 = imd5.new()
m1.update(src)
dest1 = m1.hexdigest()
return dest1
def md5file(fobj):
m = imd5.new()
while True:
d = fobj.read... | 31.452 | 104 | 0.56645 |
import httplib
import md5 as imd5
import base64
import time
import re
METADATA_PREFIX = 'x-upyun-meta-'
DL = '/'
def md5(src):
m1 = imd5.new()
m1.update(src)
dest1 = m1.hexdigest()
return dest1
def md5file(fobj):
m = imd5.new()
while True:
d = fobj.read(8096)
if not ... | false | true |
f7215e55cf136f7e2d8b5021a9fd804c6a6a0820 | 42,837 | py | Python | pytests/epengine/bucket_level_durability.py | cgghali/TAF | 1de8dec77ad781c373e18d9c285befd534ac203a | [
"Apache-2.0"
] | null | null | null | pytests/epengine/bucket_level_durability.py | cgghali/TAF | 1de8dec77ad781c373e18d9c285befd534ac203a | [
"Apache-2.0"
] | null | null | null | pytests/epengine/bucket_level_durability.py | cgghali/TAF | 1de8dec77ad781c373e18d9c285befd534ac203a | [
"Apache-2.0"
] | null | null | null | from copy import deepcopy
from random import sample, choice
from BucketLib.bucket import Bucket
from cb_tools.cb_cli import CbCli
from couchbase_helper.documentgenerator import doc_generator
from couchbase_helper.durability_helper import BucketDurability
from epengine.durability_base import BucketDurabilityBase
from e... | 44.855497 | 82 | 0.572682 | from copy import deepcopy
from random import sample, choice
from BucketLib.bucket import Bucket
from cb_tools.cb_cli import CbCli
from couchbase_helper.documentgenerator import doc_generator
from couchbase_helper.durability_helper import BucketDurability
from epengine.durability_base import BucketDurabilityBase
from e... | true | true |
f7215eaffbd11774be2c8286cbada91c47ac6b09 | 1,136 | py | Python | tools/getTask.py | Sh4der/adventofcode | 1823d7bac33778ef850e384d914843a0c0ded869 | [
"MIT"
] | null | null | null | tools/getTask.py | Sh4der/adventofcode | 1823d7bac33778ef850e384d914843a0c0ded869 | [
"MIT"
] | null | null | null | tools/getTask.py | Sh4der/adventofcode | 1823d7bac33778ef850e384d914843a0c0ded869 | [
"MIT"
] | null | null | null | import html2markdown as h2m
import urllib.request
import re
from sys import argv, exit
if __name__ == '__main__':
if len(argv) not in (2, 3): exit(1)
day = argv[1]
if int(day) not in range(1, 24):
exit(1)
destinationFilePath = argv[2]
url = "https://adventofcode.com/2020/day/" + day
r... | 28.4 | 96 | 0.626761 | import html2markdown as h2m
import urllib.request
import re
from sys import argv, exit
if __name__ == '__main__':
if len(argv) not in (2, 3): exit(1)
day = argv[1]
if int(day) not in range(1, 24):
exit(1)
destinationFilePath = argv[2]
url = "https://adventofcode.com/2020/day/" + day
r... | true | true |
f7215eeae590fcac6dd15874392f9bd3361b29e0 | 1,294 | py | Python | wikum-env3/lib/python3.7/site-packages/sumy/models/dom/_sentence.py | xuericlin/wikum | f0171f1697efa91d6957f976f473c9201db85648 | [
"MIT"
] | null | null | null | wikum-env3/lib/python3.7/site-packages/sumy/models/dom/_sentence.py | xuericlin/wikum | f0171f1697efa91d6957f976f473c9201db85648 | [
"MIT"
] | null | null | null | wikum-env3/lib/python3.7/site-packages/sumy/models/dom/_sentence.py | xuericlin/wikum | f0171f1697efa91d6957f976f473c9201db85648 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division, print_function, unicode_literals
from ...utils import cached_property
from ..._compat import to_unicode, to_string, unicode_compatible
@unicode_compatible
class Sentence(object):
__slots__ = ("_text", "_ca... | 28.755556 | 89 | 0.651468 |
from __future__ import absolute_import
from __future__ import division, print_function, unicode_literals
from ...utils import cached_property
from ..._compat import to_unicode, to_string, unicode_compatible
@unicode_compatible
class Sentence(object):
__slots__ = ("_text", "_cached_property_words", "_... | true | true |
f7216012bdabcc6a4f76ac1521c5236c58f42c7a | 393 | py | Python | bookitoBackend/User/urls.py | mazdakdev/Bookito | 38e18fee22aafea95429da01e9769acf2748f676 | [
"MIT"
] | 10 | 2021-12-09T04:39:03.000Z | 2022-02-07T05:42:29.000Z | bookitoBackend/User/urls.py | mazdakdev/Bookito | 38e18fee22aafea95429da01e9769acf2748f676 | [
"MIT"
] | 2 | 2022-02-07T18:12:54.000Z | 2022-02-10T10:27:37.000Z | bookitoBackend/User/urls.py | mazdakdev/Bookito | 38e18fee22aafea95429da01e9769acf2748f676 | [
"MIT"
] | null | null | null | from django.urls import path
from .api import *
from knox import views as knox_views
urlpatterns = [
#domain.dn/api/v1/register/ | POST
path('register/' , SignUpAPI.as_view() , name='register'),
#domain.dn/api/v1/register/ | POST
path('login/' , SignInAPI.as_view() , name='login'),
#domain.dn/ap... | 21.833333 | 62 | 0.64631 | from django.urls import path
from .api import *
from knox import views as knox_views
urlpatterns = [
path('register/' , SignUpAPI.as_view() , name='register'),
path('login/' , SignInAPI.as_view() , name='login'),
path('user/', MainUser.as_view() , name='user'),
] | true | true |
f7216046bb8fc44df661da3c65b4c665932b2bf6 | 1,845 | py | Python | gdsfactory/simulation/simphony/components/ring_double_siepic.py | simbilod/gdsfactory | 4d76db32674c3edb4d16260e3177ee29ef9ce11d | [
"MIT"
] | null | null | null | gdsfactory/simulation/simphony/components/ring_double_siepic.py | simbilod/gdsfactory | 4d76db32674c3edb4d16260e3177ee29ef9ce11d | [
"MIT"
] | null | null | null | gdsfactory/simulation/simphony/components/ring_double_siepic.py | simbilod/gdsfactory | 4d76db32674c3edb4d16260e3177ee29ef9ce11d | [
"MIT"
] | null | null | null | from simphony.library import siepic
from simphony.netlist import Subcircuit
def ring_double_siepic(
wg_width=0.5,
gap=0.2,
length_x=4,
bend_radius=5,
length_y=2,
coupler=siepic.ebeam_dc_halfring_straight,
straight=siepic.ebeam_wg_integral_1550,
terminator=siepic.ebeam_terminator_te1550... | 25.273973 | 87 | 0.539837 | from simphony.library import siepic
from simphony.netlist import Subcircuit
def ring_double_siepic(
wg_width=0.5,
gap=0.2,
length_x=4,
bend_radius=5,
length_y=2,
coupler=siepic.ebeam_dc_halfring_straight,
straight=siepic.ebeam_wg_integral_1550,
terminator=siepic.ebeam_terminator_te1550... | true | true |
f72160586c3494b35606c754418a7f75fc368e1d | 10,517 | py | Python | pytorch/data.py | layumi/dgcnn | a7b58796ffe549f2d8bdb06a84f62aba03e1d3a1 | [
"MIT"
] | null | null | null | pytorch/data.py | layumi/dgcnn | a7b58796ffe549f2d8bdb06a84f62aba03e1d3a1 | [
"MIT"
] | null | null | null | pytorch/data.py | layumi/dgcnn | a7b58796ffe549f2d8bdb06a84f62aba03e1d3a1 | [
"MIT"
] | 1 | 2021-01-15T10:04:33.000Z | 2021-01-15T10:04:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Author: Yue Wang
@Contact: yuewangx@mit.edu
@File: data.py
@Time: 2018/10/13 6:21 PM
Modified by
@Author: An Tao
@Contact: ta19@mails.tsinghua.edu.cn
@Time: 2020/2/27 9:32 PM
"""
import os
import sys
import glob
import h5py
import numpy as np
import torch
from torc... | 37.03169 | 105 | 0.629837 |
import os
import sys
import glob
import h5py
import numpy as np
import torch
from torch.utils.data import Dataset
def download_modelnet40():
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
DATA_DIR = os.path.join(BASE_DIR, 'data')
if not os.path.exists(DATA_DIR):
os.mkdir(DATA_DIR)
i... | true | true |
f721616e2e38048326fa72960040fcebc5347540 | 1,016 | py | Python | packages/syft/tests/syft/lib/sklearn/model_serialize_test.py | wip-abramson/PySyft | c321b26ce1aa3c969793874e663a8a46b1228dd1 | [
"Apache-1.1"
] | 1 | 2021-08-31T11:37:19.000Z | 2021-08-31T11:37:19.000Z | packages/syft/tests/syft/lib/sklearn/model_serialize_test.py | karapto/PySyft | 2940bfebb3e0f37a1b7451cf9581c41917534ed6 | [
"Apache-1.1"
] | null | null | null | packages/syft/tests/syft/lib/sklearn/model_serialize_test.py | karapto/PySyft | 2940bfebb3e0f37a1b7451cf9581c41917534ed6 | [
"Apache-1.1"
] | null | null | null | # third party
import numpy as np
import pytest
from sklearn.linear_model import LogisticRegression
# syft absolute
import syft as sy
from syft.experimental_flags import flags
sy.load("sklearn")
sy.load("numpy")
@pytest.mark.vendor(lib="sklearn")
@pytest.mark.parametrize("arrow_backend", [True, False])
def test_logi... | 26.736842 | 61 | 0.649606 |
import numpy as np
import pytest
from sklearn.linear_model import LogisticRegression
import syft as sy
from syft.experimental_flags import flags
sy.load("sklearn")
sy.load("numpy")
@pytest.mark.vendor(lib="sklearn")
@pytest.mark.parametrize("arrow_backend", [True, False])
def test_logistic_model_serde(
arrow_... | true | true |
f72161c03ab784a2ce4d00015d797e74b8a25925 | 2,042 | py | Python | SecuriTree/views.py | davymaish/django-SecuriTree | 01cf925e591877ae2669ca8430845abe278832bf | [
"BSD-2-Clause"
] | null | null | null | SecuriTree/views.py | davymaish/django-SecuriTree | 01cf925e591877ae2669ca8430845abe278832bf | [
"BSD-2-Clause"
] | null | null | null | SecuriTree/views.py | davymaish/django-SecuriTree | 01cf925e591877ae2669ca8430845abe278832bf | [
"BSD-2-Clause"
] | null | null | null | from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import get_object_or_404, render
from django.urls import reverse
from django.template import loader
from django.contrib import messages
from django.views import generic
from django.views.generic.base import TemplateView
from django.utils i... | 27.972603 | 75 | 0.731636 | from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import get_object_or_404, render
from django.urls import reverse
from django.template import loader
from django.contrib import messages
from django.views import generic
from django.views.generic.base import TemplateView
from django.utils i... | true | true |
f721628ea6b0b18873ff1f9593f52a8c6a6f14af | 6,273 | py | Python | thenewboston_node/business_logic/tests/test_file_blockchain/test_primary_validator.py | andbortnik/thenewboston-node | bd63c7def5f224286dba70f9560252a7da8ea712 | [
"MIT"
] | null | null | null | thenewboston_node/business_logic/tests/test_file_blockchain/test_primary_validator.py | andbortnik/thenewboston-node | bd63c7def5f224286dba70f9560252a7da8ea712 | [
"MIT"
] | null | null | null | thenewboston_node/business_logic/tests/test_file_blockchain/test_primary_validator.py | andbortnik/thenewboston-node | bd63c7def5f224286dba70f9560252a7da8ea712 | [
"MIT"
] | null | null | null | from thenewboston_node.business_logic.blockchain.file_blockchain import FileBlockchain
from thenewboston_node.business_logic.models import (
AccountState, Block, Node, NodeDeclarationSignedChangeRequest, PrimaryValidatorSchedule,
PrimaryValidatorScheduleSignedChangeRequest
)
from thenewboston_node.business_logi... | 46.466667 | 108 | 0.809501 | from thenewboston_node.business_logic.blockchain.file_blockchain import FileBlockchain
from thenewboston_node.business_logic.models import (
AccountState, Block, Node, NodeDeclarationSignedChangeRequest, PrimaryValidatorSchedule,
PrimaryValidatorScheduleSignedChangeRequest
)
from thenewboston_node.business_logi... | true | true |
f7216293508f30856c09ec8f6cc0f0a4c59f840b | 400 | py | Python | test/distributed/test_ddp_under_dist_autograd.py | wenhaopeter/read_pytorch_code | 491f989cd918cf08874dd4f671fb7f0142a0bc4f | [
"Intel",
"X11"
] | null | null | null | test/distributed/test_ddp_under_dist_autograd.py | wenhaopeter/read_pytorch_code | 491f989cd918cf08874dd4f671fb7f0142a0bc4f | [
"Intel",
"X11"
] | null | null | null | test/distributed/test_ddp_under_dist_autograd.py | wenhaopeter/read_pytorch_code | 491f989cd918cf08874dd4f671fb7f0142a0bc4f | [
"Intel",
"X11"
] | null | null | null | #!/usr/bin/env python3
from torch.testing._internal.distributed import ddp_under_dist_autograd_test
from torch.testing._internal.common_utils import (
run_tests,
)
class TestDdpUnderDistAutogradWrapper(ddp_under_dist_autograd_test.TestDdpUnderDistAutograd):
pass
class TestDdpComparison(ddp_under_dist_autogra... | 25 | 93 | 0.82 |
from torch.testing._internal.distributed import ddp_under_dist_autograd_test
from torch.testing._internal.common_utils import (
run_tests,
)
class TestDdpUnderDistAutogradWrapper(ddp_under_dist_autograd_test.TestDdpUnderDistAutograd):
pass
class TestDdpComparison(ddp_under_dist_autograd_test.TestDdpComparis... | true | true |
f7216360a3f39f268083811c68d247e2aa9fdaad | 5,037 | py | Python | models/pointnet_seg.py | 3D-semantic-Sgmentation/pointnet | 029c0217143e6b69e685ab57cf243e322d47860f | [
"MIT"
] | null | null | null | models/pointnet_seg.py | 3D-semantic-Sgmentation/pointnet | 029c0217143e6b69e685ab57cf243e322d47860f | [
"MIT"
] | null | null | null | models/pointnet_seg.py | 3D-semantic-Sgmentation/pointnet | 029c0217143e6b69e685ab57cf243e322d47860f | [
"MIT"
] | null | null | null | # import tensorflow as tf
import numpy as np
import math
import sys
import os
import tensorflow.compat.v1 as tf
import tensorflow as tf2
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(BASE_DIR)
sys.path.append(os.path.join(BASE_DIR, '../utils'))
import tf_util
from transform_nets import input_tr... | 40.95122 | 84 | 0.592416 |
import numpy as np
import math
import sys
import os
import tensorflow.compat.v1 as tf
import tensorflow as tf2
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(BASE_DIR)
sys.path.append(os.path.join(BASE_DIR, '../utils'))
import tf_util
from transform_nets import input_transform_net, feature_tran... | true | true |
f721636de9ed88c4501fc4920a1f38058472b148 | 8,344 | py | Python | tests/adapters/test_dataframe_input.py | vedashree29296/BentoML | 79f94d543a0684e04551207d102a2d254b770ad3 | [
"Apache-2.0"
] | null | null | null | tests/adapters/test_dataframe_input.py | vedashree29296/BentoML | 79f94d543a0684e04551207d102a2d254b770ad3 | [
"Apache-2.0"
] | null | null | null | tests/adapters/test_dataframe_input.py | vedashree29296/BentoML | 79f94d543a0684e04551207d102a2d254b770ad3 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=redefined-outer-name
import itertools
import json
import math
import time
import flask
import numpy as np
import pandas as pd
import psutil # noqa # pylint: disable=unused-import
import pytest
from bentoml.adapters import DataframeInput
from bentoml.adapters.dataframe_input import read_dataframes_... | 32.341085 | 87 | 0.647651 |
import itertools
import json
import math
import time
import flask
import numpy as np
import pandas as pd
import psutil apters import DataframeInput
from bentoml.adapters.dataframe_input import read_dataframes_from_json_n_csv
from bentoml.utils.csv import csv_splitlines
from bentoml.utils.dataframe_util import guess... | true | true |
f721649ced49c4e8a9613dfffcb798078e8b305e | 383 | py | Python | vespa-cloud/cord-19-search/scripts/convert-to-feed.py | kuipertan/sample-apps | d52b942ea228336435d29a7ed007e72113aec827 | [
"Apache-2.0"
] | null | null | null | vespa-cloud/cord-19-search/scripts/convert-to-feed.py | kuipertan/sample-apps | d52b942ea228336435d29a7ed007e72113aec827 | [
"Apache-2.0"
] | null | null | null | vespa-cloud/cord-19-search/scripts/convert-to-feed.py | kuipertan/sample-apps | d52b942ea228336435d29a7ed007e72113aec827 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright Verizon Media. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
import sys
import json
json_file = sys.argv[1]
with open(json_file, 'r') as f:
data = json.load(f)
for doc in data:
vespa_doc = {
'put': 'id:covid-19:doc::%s' % doc['id'... | 23.9375 | 111 | 0.64752 |
import sys
import json
json_file = sys.argv[1]
with open(json_file, 'r') as f:
data = json.load(f)
for doc in data:
vespa_doc = {
'put': 'id:covid-19:doc::%s' % doc['id'],
'fields': doc
}
print(json.dumps(vespa_doc))
| true | true |
f72164ba62f9af6d6912ac1fc695a0949c138d93 | 1,051 | py | Python | webservice/search/zeroconf_factory.py | PedalController/PedalPiREST | aa9418d44f2f5dbec604753a03bf8a74057c627c | [
"Apache-2.0"
] | null | null | null | webservice/search/zeroconf_factory.py | PedalController/PedalPiREST | aa9418d44f2f5dbec604753a03bf8a74057c627c | [
"Apache-2.0"
] | 42 | 2016-07-04T11:17:54.000Z | 2018-03-18T18:36:09.000Z | webservice/search/zeroconf_factory.py | PedalController/PedalPiREST | aa9418d44f2f5dbec604753a03bf8a74057c627c | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 SrMouraSilva
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 33.903226 | 74 | 0.744053 |
from unittest.mock import MagicMock
from webservice.search.pybonjour_service import PybonjourService
from webservice.search.zeroconf_service import ZeroconfService
class ZeroconfFactory(object):
@staticmethod
def generate(name, port):
if PybonjourService.has_support():
retu... | true | true |
f72164bc7374018f80baa8ffb8176085266dae60 | 397 | py | Python | CodingTest_Study1/week11/ex9095.py | FridayAlgorithm/taesong_study | 50c07ee6ead0fb5bb80e0decb03b801cbbbabf9c | [
"MIT"
] | null | null | null | CodingTest_Study1/week11/ex9095.py | FridayAlgorithm/taesong_study | 50c07ee6ead0fb5bb80e0decb03b801cbbbabf9c | [
"MIT"
] | null | null | null | CodingTest_Study1/week11/ex9095.py | FridayAlgorithm/taesong_study | 50c07ee6ead0fb5bb80e0decb03b801cbbbabf9c | [
"MIT"
] | 2 | 2020-12-27T15:03:46.000Z | 2021-03-06T14:13:34.000Z | # BOJ 1,2,3 더하기 9095
T = int(input()) # 테스트 케이스의 개수 T가 주어짐
sum_list = []
for i in range(T):
n = int(input())
sum_list.append(n)
def oneTwoThreeSum(n):
if n == 1:
return 1
if n == 2:
return 2
if n == 3:
return 4
else:
return oneTwoThreeSum(n-3) + oneTwoThreeSum(... | 18.045455 | 78 | 0.561713 |
T = int(input())
sum_list = []
for i in range(T):
n = int(input())
sum_list.append(n)
def oneTwoThreeSum(n):
if n == 1:
return 1
if n == 2:
return 2
if n == 3:
return 4
else:
return oneTwoThreeSum(n-3) + oneTwoThreeSum(n-2) + oneTwoThreeSum(n-1)
for k in su... | true | true |
f7216512710c309d4a2ab0b0e09080660ee5e81b | 1,794 | py | Python | src/features/utils.py | iamhuy/rumour-veracity-verification | e7e7f0c100545c2758584719e9f20f20cb6d0a85 | [
"MIT"
] | null | null | null | src/features/utils.py | iamhuy/rumour-veracity-verification | e7e7f0c100545c2758584719e9f20f20cb6d0a85 | [
"MIT"
] | 7 | 2020-03-24T15:24:51.000Z | 2021-06-01T21:43:16.000Z | src/features/utils.py | iamhuy/rumour-veracity-verification | e7e7f0c100545c2758584719e9f20f20cb6d0a85 | [
"MIT"
] | null | null | null | from dateutil import parser
import preprocessor as p
def timestamp_to_date(timestamp):
"""
Conver a twitter timestamp to a datetime object
:param timestamp: a string represent the timestamp
:return: a datetime object
"""
return parser.parse(timestamp)
def day_diff(timestamp1, timestamp2)... | 29.9 | 107 | 0.696767 | from dateutil import parser
import preprocessor as p
def timestamp_to_date(timestamp):
return parser.parse(timestamp)
def day_diff(timestamp1, timestamp2):
return (timestamp_to_date(timestamp1) - timestamp_to_date(timestamp2)).days
def read_brown_cluster_file(brown_cluster_text_file):
brown_cluster_... | true | true |
f72165731dd934a6ef471e84e61e6bbeae4d50c9 | 2,651 | py | Python | vtpl_api/models/destination_type.py | vtpl1/videonetics_api | bef179df12f449db0c50c3910daca50b7d40ac49 | [
"RSA-MD"
] | null | null | null | vtpl_api/models/destination_type.py | vtpl1/videonetics_api | bef179df12f449db0c50c3910daca50b7d40ac49 | [
"RSA-MD"
] | 1 | 2021-02-26T07:31:37.000Z | 2021-02-26T07:31:37.000Z | vtpl_api/models/destination_type.py | vtpl1/videonetics_api | bef179df12f449db0c50c3910daca50b7d40ac49 | [
"RSA-MD"
] | 2 | 2020-11-04T02:52:55.000Z | 2020-11-05T08:09:50.000Z | # coding: utf-8
"""
Engine api
Engine APIs # noqa: E501
OpenAPI spec version: 1.0.6
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class DestinationType(object):
"""NOTE: This class is auto generated by the swagger co... | 25.990196 | 80 | 0.536024 |
import pprint
import re
import six
class DestinationType(object):
NONE = "none"
RTSP = "rtsp"
HTTP = "http"
FILE = "file"
FTP = "ftp"
VMS = "vms"
MQTT = "mqtt"
AMQP = "amqp"
S3 = "S3"
VS3 = "VS3"
BASEURL = "BaseUrl"
RELATIVEURL = "RelativeUrl"
ZEROMQ = "ZeroMQ... | true | true |
f721659832fd95400b106db9d00e562f8df54211 | 183 | py | Python | shopee_crawler/toolkit/__init__.py | ptrkhh/shopee-crawler | 6d85748daa802ad9bb2f42ba56695b31d692f4b4 | [
"MIT"
] | 5 | 2021-09-09T18:32:49.000Z | 2022-01-10T10:31:17.000Z | shopee_crawler/toolkit/__init__.py | ptrkhh/shopee-crawler | 6d85748daa802ad9bb2f42ba56695b31d692f4b4 | [
"MIT"
] | 2 | 2021-09-10T14:28:52.000Z | 2021-09-12T14:57:41.000Z | shopee_crawler/toolkit/__init__.py | ptrkhh/shopee-crawler | 6d85748daa802ad9bb2f42ba56695b31d692f4b4 | [
"MIT"
] | 6 | 2021-09-25T14:03:57.000Z | 2022-03-19T14:44:04.000Z | from .crawl_by_cat_url import crawl_by_cat_url
from .crawl_by_search import crawl_by_search
from .crawl_by_shop_url import crawl_by_shop_url
from .crawl_cat_list import crawl_cat_list | 45.75 | 48 | 0.896175 | from .crawl_by_cat_url import crawl_by_cat_url
from .crawl_by_search import crawl_by_search
from .crawl_by_shop_url import crawl_by_shop_url
from .crawl_cat_list import crawl_cat_list | true | true |
f72166b67f4730956f03af23668fb17b0bfb75ba | 170 | py | Python | old/dronekit-python/dronekit/util.py | sirmammingtonham/droneee | 1c0e1921a902b26958d298f3a0204465bf3e960d | [
"Unlicense"
] | null | null | null | old/dronekit-python/dronekit/util.py | sirmammingtonham/droneee | 1c0e1921a902b26958d298f3a0204465bf3e960d | [
"Unlicense"
] | null | null | null | old/dronekit-python/dronekit/util.py | sirmammingtonham/droneee | 1c0e1921a902b26958d298f3a0204465bf3e960d | [
"Unlicense"
] | null | null | null | from __future__ import print_function
import sys
def errprinter(*args):
logger(*args)
def logger(*args):
print(*args, file=sys.stderr)
sys.stderr.flush()
| 14.166667 | 37 | 0.7 | from __future__ import print_function
import sys
def errprinter(*args):
logger(*args)
def logger(*args):
print(*args, file=sys.stderr)
sys.stderr.flush()
| true | true |
f72168144f40c3dc94f255559a486ee91e85c71f | 10,646 | py | Python | userbot/plugins/chatinfo.py | meaall-com/Telebot | a08193ae6c3e5814b309d079e95c4951eafcbc19 | [
"MIT"
] | 3 | 2020-09-04T09:34:51.000Z | 2020-09-04T09:39:26.000Z | userbot/plugins/chatinfo.py | meaall-com/Telebot | a08193ae6c3e5814b309d079e95c4951eafcbc19 | [
"MIT"
] | null | null | null | userbot/plugins/chatinfo.py | meaall-com/Telebot | a08193ae6c3e5814b309d079e95c4951eafcbc19 | [
"MIT"
] | null | null | null | # Copyright (C) 2019 The Raphielscape Company LLC.
#
# Licensed under the Raphielscape Public License, Version 1.d (the "License");
# you may not use this file except in compliance with the License.
#
# Credits to Hitalo-Sama and FTG Modules
from datetime import datetime
from emoji import emojize
from math import sqrt... | 46.286957 | 138 | 0.656021 |
from datetime import datetime
from emoji import emojize
from math import sqrt
from telethon.tl.functions.channels import GetFullChannelRequest, GetParticipantsRequest
from telethon.tl.functions.messages import GetFullChatRequest, GetHistoryRequest
from telethon.tl.types import MessageActionChannelMigrateFrom, Ch... | true | true |
f72168324e6096dddf572876cab151217254f430 | 3,592 | py | Python | examples/resume_train_segm.py | dani-lbnl/msdnet | 20f503322524ceb340379448f1778a58bb1f9a18 | [
"MIT"
] | 24 | 2019-08-24T06:42:51.000Z | 2021-10-09T14:27:51.000Z | examples/resume_train_segm.py | dani-lbnl/msdnet | 20f503322524ceb340379448f1778a58bb1f9a18 | [
"MIT"
] | 12 | 2019-07-31T06:56:19.000Z | 2020-12-05T18:08:54.000Z | examples/resume_train_segm.py | dani-lbnl/msdnet | 20f503322524ceb340379448f1778a58bb1f9a18 | [
"MIT"
] | 11 | 2019-09-17T02:39:24.000Z | 2022-03-30T21:28:35.000Z | #-----------------------------------------------------------------------
#Copyright 2019 Centrum Wiskunde & Informatica, Amsterdam
#
#Author: Daniel M. Pelt
#Contact: D.M.Pelt@cwi.nl
#Website: http://dmpelt.github.io/msdnet/
#License: MIT
#
#This file is part of MSDNet, a Python implementation of the
#Mixed-Scale Dense... | 43.277108 | 178 | 0.700724 |
import msdnet
from pathlib import Path
flsin = sorted((Path('train') / 'noisy').glob('*.tiff'))
flstg = sorted((Path('train') / 'label').glob('*.tiff'))
dats = []
for i in range(len(flsin)):
d = msdnet.data.ImageFileDataPoint(str(flsin[i]),str(flstg[i]))
d_oh = msdnet.data.OneHo... | true | true |
f721694c28a049e466ab20f52517ffcffb2f736f | 1,578 | py | Python | github.py | anoadragon453/msc-chatbot | ae8bc4b900df500e4f31b85041de2ebfbedd8dd9 | [
"Apache-2.0"
] | 2 | 2019-10-06T18:13:46.000Z | 2019-12-07T22:02:40.000Z | github.py | anoadragon453/msc-chatbot | ae8bc4b900df500e4f31b85041de2ebfbedd8dd9 | [
"Apache-2.0"
] | null | null | null | github.py | anoadragon453/msc-chatbot | ae8bc4b900df500e4f31b85041de2ebfbedd8dd9 | [
"Apache-2.0"
] | null | null | null | import requests
import json
from errors import BotException
import logging
logger = logging.getLogger(__name__)
class Github(object):
def __init__(self, repo_slug: str):
"""
Args:
repo_slug: The slug (user/repo_name) of the github repository
"""
# TODO: Add support fo... | 30.941176 | 100 | 0.603295 | import requests
import json
from errors import BotException
import logging
logger = logging.getLogger(__name__)
class Github(object):
def __init__(self, repo_slug: str):
self.repo_slug = repo_slug
self.api_base = "https://api.github.com"
def get_info_for_issue_pr(self, num: int) ->... | true | true |
f721696ba4b25105e5eb43dca6f3445e9352f0a4 | 265 | py | Python | ctfweb/admin.py | pdogg/ctfmanager | d8f0ac7d7e12d7973b7eb39cd30a0bc81e4cb770 | [
"BSD-3-Clause"
] | 10 | 2015-01-27T23:01:03.000Z | 2016-12-14T01:00:49.000Z | ctfweb/admin.py | pdogg/ctfmanager | d8f0ac7d7e12d7973b7eb39cd30a0bc81e4cb770 | [
"BSD-3-Clause"
] | null | null | null | ctfweb/admin.py | pdogg/ctfmanager | d8f0ac7d7e12d7973b7eb39cd30a0bc81e4cb770 | [
"BSD-3-Clause"
] | 8 | 2015-03-01T16:57:05.000Z | 2022-02-20T03:48:04.000Z | from django.contrib import admin
from ctfweb.models import *
admin.site.register(Game)
admin.site.register(Category)
admin.site.register(Challenge)
admin.site.register(Hint)
admin.site.register(Competitor)
admin.site.register(Solved)
admin.site.register(RegCodes)
| 24.090909 | 32 | 0.822642 | from django.contrib import admin
from ctfweb.models import *
admin.site.register(Game)
admin.site.register(Category)
admin.site.register(Challenge)
admin.site.register(Hint)
admin.site.register(Competitor)
admin.site.register(Solved)
admin.site.register(RegCodes)
| true | true |
f7216b0dc1766301347181cd7059ad601ead0155 | 11,484 | py | Python | components/app_update/otatool.py | thomasonw/esp-idf | abea9e4c02bb17e86298aec4e299780399e4789f | [
"Apache-2.0"
] | 6 | 2018-12-28T04:00:22.000Z | 2021-05-17T08:01:41.000Z | components/app_update/otatool.py | Wangrenai/esp-idf | abea9e4c02bb17e86298aec4e299780399e4789f | [
"Apache-2.0"
] | 1 | 2019-02-15T06:43:13.000Z | 2019-02-15T06:43:13.000Z | components/app_update/otatool.py | Wangrenai/esp-idf | abea9e4c02bb17e86298aec4e299780399e4789f | [
"Apache-2.0"
] | 1 | 2019-05-01T14:00:23.000Z | 2019-05-01T14:00:23.000Z | #!/usr/bin/env python
#
# otatool is used to perform ota-level operations - flashing ota partition
# erasing ota partition and switching ota partition
#
# Copyright 2018 Espressif Systems (Shanghai) PTE LTD
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complia... | 35.012195 | 154 | 0.698015 |
function, division
import argparse
import os
import sys
import binascii
import subprocess
import tempfile
import collections
import struct
__version__ = '1.0'
IDF_COMPONENTS_PATH = os.path.expandvars(os.path.join("$IDF_PATH", "components"))
PARTTOOL_PY = os.path.join(IDF_COMPONENTS_PATH, "partition_table"... | true | true |
f7216b59c00f5f5b82ec9c7b9bf5292699ace5fe | 82 | py | Python | akshare/fx/__init__.py | ghmole/akshare | eeeec96f90c6738bcd9ce92fcfa6b9c9176928a6 | [
"MIT"
] | 12 | 2020-12-30T02:50:01.000Z | 2021-11-08T11:32:51.000Z | akshare/fx/__init__.py | ghmole/akshare | eeeec96f90c6738bcd9ce92fcfa6b9c9176928a6 | [
"MIT"
] | 3 | 2021-01-26T09:31:43.000Z | 2021-12-08T08:31:54.000Z | akshare/fx/__init__.py | ghmole/akshare | eeeec96f90c6738bcd9ce92fcfa6b9c9176928a6 | [
"MIT"
] | 13 | 2020-07-08T08:48:33.000Z | 2022-03-23T08:37:11.000Z | # -*- coding:utf-8 -*-
# /usr/bin/env python
"""
Date: 2019/10/20 10:57
Desc:
"""
| 11.714286 | 22 | 0.54878 | true | true | |
f7216c4cb45aea88f34bb4f84f11c15334366e5e | 6,588 | py | Python | tools/Polygraphy/tests/comparator/test_comparator.py | SsisyphusTao/TensorRT | 69f5a5093a39184e137a55c908d5c4d1340b009a | [
"Apache-2.0"
] | 5,249 | 2019-06-17T17:20:34.000Z | 2022-03-31T17:56:05.000Z | tools/Polygraphy/tests/comparator/test_comparator.py | SsisyphusTao/TensorRT | 69f5a5093a39184e137a55c908d5c4d1340b009a | [
"Apache-2.0"
] | 1,721 | 2019-06-17T18:13:29.000Z | 2022-03-31T16:09:53.000Z | tools/Polygraphy/tests/comparator/test_comparator.py | SsisyphusTao/TensorRT | 69f5a5093a39184e137a55c908d5c4d1340b009a | [
"Apache-2.0"
] | 1,414 | 2019-06-18T04:01:17.000Z | 2022-03-31T09:16:53.000Z | #
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 43.92 | 117 | 0.696266 |
import subprocess as sp
import numpy as np
import pytest
import tensorrt as trt
from polygraphy.backend.onnx import BytesFromOnnx, OnnxFromTfGraph, GsFromOnnx
from polygraphy.backend.onnxrt import OnnxrtRunner, SessionFromOnnx
from polygraphy.backend.pluginref import PluginRefRunner
from polygraphy.back... | true | true |
f7216d1ac89a7301575efb5070db47b073f062f7 | 1,614 | py | Python | azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/models/sub_protection_policy.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2018-07-23T08:59:24.000Z | 2018-07-23T08:59:24.000Z | azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/models/sub_protection_policy.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2018-11-29T14:46:42.000Z | 2018-11-29T14:46:42.000Z | azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/models/sub_protection_policy.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2018-08-28T14:36:47.000Z | 2018-08-28T14:36:47.000Z | # 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 ... | 39.365854 | 82 | 0.64746 |
from msrest.serialization import Model
class SubProtectionPolicy(Model):
_attribute_map = {
'policy_type': {'key': 'policyType', 'type': 'str'},
'schedule_policy': {'key': 'schedulePolicy', 'type': 'SchedulePolicy'},
'retention_policy': {'key': 'retentionPolicy', 'type': 'Reten... | true | true |
f7216ef57361718e2a601232dbdfdcdcad313aad | 640 | py | Python | backend/colaboradores/schema.py | leonunesbs/medico | 384796f346b001d028e1bec2676ae7242749a79a | [
"MIT"
] | 1 | 2021-12-26T03:27:26.000Z | 2021-12-26T03:27:26.000Z | backend/colaboradores/schema.py | leonunesbs/medico | 384796f346b001d028e1bec2676ae7242749a79a | [
"MIT"
] | 6 | 2021-09-01T19:52:46.000Z | 2022-02-15T20:48:27.000Z | backend/colaboradores/schema.py | leonunesbs/medico | 384796f346b001d028e1bec2676ae7242749a79a | [
"MIT"
] | null | null | null | from graphene import relay, ObjectType
from graphene_django import DjangoObjectType
from graphene_django.filter import DjangoFilterConnectionField
from .models import Colaborador
class ColaboradorNode(DjangoObjectType):
class Meta:
model = Colaborador
filter_fields = '__all__'
interfaces ... | 22.068966 | 68 | 0.753125 | from graphene import relay, ObjectType
from graphene_django import DjangoObjectType
from graphene_django.filter import DjangoFilterConnectionField
from .models import Colaborador
class ColaboradorNode(DjangoObjectType):
class Meta:
model = Colaborador
filter_fields = '__all__'
interfaces ... | true | true |
f721704148332e77abcaafead1bc2fa7b96d4007 | 1,233 | py | Python | src/server/services/mp/settings/save.py | jhchen3121/wechat_shop | c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328 | [
"Apache-2.0"
] | null | null | null | src/server/services/mp/settings/save.py | jhchen3121/wechat_shop | c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328 | [
"Apache-2.0"
] | 5 | 2021-01-28T21:18:27.000Z | 2022-03-25T19:10:01.000Z | src/server/services/mp/settings/save.py | jhchen3121/wechat_shop | c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import absolute_import
from core_backend import context
from core_backend.service import handler
from core_backend.libs.exception import Error
from server.domain.models import WechatshopUser
import re
import time
im... | 25.163265 | 87 | 0.633414 |
from __future__ import unicode_literals
from __future__ import absolute_import
from core_backend import context
from core_backend.service import handler
from core_backend.libs.exception import Error
from server.domain.models import WechatshopUser
import re
import time
import base64
import logging
import settings
... | true | true |
f72170a4485c1de01d00d965e672b8a4a3f275cd | 3,311 | py | Python | robotx/core/listener.py | ylbian/robot-d | 4046d8ff1774399d2983c35bb4d4b6b51efc37cf | [
"MIT"
] | 44 | 2015-01-10T12:09:53.000Z | 2021-09-30T22:56:07.000Z | robotx/core/listener.py | ylbian/robot-d | 4046d8ff1774399d2983c35bb4d4b6b51efc37cf | [
"MIT"
] | null | null | null | robotx/core/listener.py | ylbian/robot-d | 4046d8ff1774399d2983c35bb4d4b6b51efc37cf | [
"MIT"
] | 25 | 2015-05-25T05:26:19.000Z | 2021-11-10T15:48:17.000Z | """
RobotX Listener.
Integrate with Test Case Management System, such as, test-run creating.
result re-write.
Author: Xin Gao <fdumpling@gmail.com>
"""
import re
from robotx.core.nitrateclient import TCMS
class TCMSListener(object):
"""
integrate with Test Case Management System,
such as, test-run cre... | 32.460784 | 76 | 0.563878 | """
RobotX Listener.
Integrate with Test Case Management System, such as, test-run creating.
result re-write.
Author: Xin Gao <fdumpling@gmail.com>
"""
import re
from robotx.core.nitrateclient import TCMS
class TCMSListener(object):
"""
integrate with Test Case Management System,
such as, test-run cre... | false | true |
f7217194f4c19697a8e59fe9babfa90a23edf214 | 2,031 | py | Python | tests/test_db_utils.py | larssl780/thin_wrappers | c0791d76a734303708892a25cce2e237caf9920a | [
"MIT"
] | null | null | null | tests/test_db_utils.py | larssl780/thin_wrappers | c0791d76a734303708892a25cce2e237caf9920a | [
"MIT"
] | 4 | 2022-02-04T15:18:31.000Z | 2022-02-07T15:07:43.000Z | tests/test_db_utils.py | larssl780/thin_wrappers | c0791d76a734303708892a25cce2e237caf9920a | [
"MIT"
] | null | null | null | import pytest
import pathlib
import sys
import requests
import io
import zipfile
import tempfile
import pandas as pd
import os
HERE = pathlib.Path(__file__).resolve().parent
# insert at 1, 0 is the script path (or '' in REPL)
# temporary hack until package is published and we can inherit from there:
sys.path.inser... | 30.313433 | 148 | 0.65485 | import pytest
import pathlib
import sys
import requests
import io
import zipfile
import tempfile
import pandas as pd
import os
HERE = pathlib.Path(__file__).resolve().parent
sys.path.insert(1, '%s/thin_wrappers' % HERE.parent)
import db_utils as db
def headers():
return {'Accept': 'application/json, tex... | true | true |
f721726ac088dd61876dfef95afdd66374bad3ee | 9,061 | py | Python | cinder/tests/unit/image/fake.py | 2020human/cinder | 04528318848620e4ce2639ea2dd5323783dc7a1f | [
"Apache-2.0"
] | null | null | null | cinder/tests/unit/image/fake.py | 2020human/cinder | 04528318848620e4ce2639ea2dd5323783dc7a1f | [
"Apache-2.0"
] | null | null | null | cinder/tests/unit/image/fake.py | 2020human/cinder | 04528318848620e4ce2639ea2dd5323783dc7a1f | [
"Apache-2.0"
] | null | null | null | # Copyright 2011 Justin Santa Barbara
# Copyright 2012 OpenStack Foundation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/l... | 36.833333 | 79 | 0.522238 |
import copy
import datetime
import mock
import uuid
from cinder import exception
import cinder.image.glance
class _FakeImageService(object):
def __init__(self):
self.images = {}
# So, make sure we've got one..
timestamp = datetime.datetime(2011, 1, 1, 1, 2, 3)
... | true | true |
f72173450168ae1e2087830e5c05a6eac53ab7d3 | 3,780 | py | Python | uvAnalyser.py | bacheloruhh/uvAnalyser | b8962305831336fac10cc3b38b44777a28f517ff | [
"MIT"
] | null | null | null | uvAnalyser.py | bacheloruhh/uvAnalyser | b8962305831336fac10cc3b38b44777a28f517ff | [
"MIT"
] | null | null | null | uvAnalyser.py | bacheloruhh/uvAnalyser | b8962305831336fac10cc3b38b44777a28f517ff | [
"MIT"
] | null | null | null | import csv
import os
# ====================
# Default variables:
default_avg_cnt = 10
default_exc_thr = 0.02
default_low_wvl = 300
default_hig_wvl = 1014
default_delimit = '\t'
default_exc_fin = True
# ====================
def welcome():
# Print a welcome screen and ask for user input. Check if input is valid.
... | 30.483871 | 79 | 0.571958 | import csv
import os
default_avg_cnt = 10
default_exc_thr = 0.02
default_low_wvl = 300
default_hig_wvl = 1014
default_delimit = '\t'
default_exc_fin = True
def welcome():
print("Welcome.\nThis script will merge all files in this directory, " +
"normalize them\nand make suggestions for the... | false | true |
f721754672bebac235baff6704cad30073fc6e3a | 2,231 | py | Python | recipes/python/template/template/trainingdataloader.py | tumulurik/acp-data-services-dsw-reference | 4ec0a161203a1097069bb5c0044eb6df137c5f6d | [
"Apache-2.0"
] | null | null | null | recipes/python/template/template/trainingdataloader.py | tumulurik/acp-data-services-dsw-reference | 4ec0a161203a1097069bb5c0044eb6df137c5f6d | [
"Apache-2.0"
] | null | null | null | recipes/python/template/template/trainingdataloader.py | tumulurik/acp-data-services-dsw-reference | 4ec0a161203a1097069bb5c0044eb6df137c5f6d | [
"Apache-2.0"
] | 1 | 2018-11-15T19:15:50.000Z | 2018-11-15T19:15:50.000Z | #####################################################################
# ADOBE CONFIDENTIAL
# ___________________
#
# Copyright 2017 Adobe
# All Rights Reserved.
#
# NOTICE: All information contained herein is, and remains
# the property of Adobe and its suppliers, if any. The intellectual
# and technical concepts co... | 34.859375 | 88 | 0.556253 | true | true | |
f72175eba1256181da7f1dbcf593e18eb8a344a6 | 7,472 | py | Python | neo/io/__init__.py | Warfley/python-neo | 875e23a417e1a65d5cb45403e6e3261155e2741d | [
"BSD-3-Clause"
] | 1 | 2020-06-08T14:00:03.000Z | 2020-06-08T14:00:03.000Z | neo/io/__init__.py | Warfley/python-neo | 875e23a417e1a65d5cb45403e6e3261155e2741d | [
"BSD-3-Clause"
] | 22 | 2016-09-13T13:31:25.000Z | 2019-05-14T17:07:16.000Z | neo/io/__init__.py | Warfley/python-neo | 875e23a417e1a65d5cb45403e6e3261155e2741d | [
"BSD-3-Clause"
] | null | null | null | """
:mod:`neo.io` provides classes for reading and/or writing
electrophysiological data files.
Note that if the package dependency is not satisfied for one io, it does not
raise an error but a warning.
:attr:`neo.io.iolist` provides a list of successfully imported io classes.
Functions:
.. autofunction:: neo.io.get... | 22.172107 | 79 | 0.720021 |
import os.path
try:
import neuroshare as ns
except ImportError as err:
from neo.io.neurosharectypesio import NeurosharectypesIO as NeuroshareIO
else:
from neo.io.neuroshareapiio import NeuroshareapiIO as NeuroshareIO
from neo.io.alphaomegaio import AlphaOmegaIO
from neo.io.as... | true | true |
f721766457ab8501938015654594e370b906deb0 | 3,890 | py | Python | workflow/scripts/combine_virsorter_virfinder.py | rdenise/virome_pipeline | 3c629aef75b184bf39f2d14043f94e8787e3ea14 | [
"MIT"
] | 1 | 2022-03-29T21:18:53.000Z | 2022-03-29T21:18:53.000Z | workflow/scripts/combine_virsorter_virfinder.py | rdenise/virome_pipeline | 3c629aef75b184bf39f2d14043f94e8787e3ea14 | [
"MIT"
] | null | null | null | workflow/scripts/combine_virsorter_virfinder.py | rdenise/virome_pipeline | 3c629aef75b184bf39f2d14043f94e8787e3ea14 | [
"MIT"
] | null | null | null | from Bio import SeqIO
import pandas as pd
import sys
import os
# Put error and out into the log file
sys.stderr = sys.stdout = open(snakemake.log[0], "w")
###########################################################
###########################################################
# List that will contains all the contigs ... | 31.626016 | 81 | 0.648072 | from Bio import SeqIO
import pandas as pd
import sys
import os
sys.stderr = sys.stdout = open(snakemake.log[0], "w")
| true | true |
f7217746e68b217cef673ded6405c62a5976ac18 | 5,365 | py | Python | Benchmarking/CM_Benchmark/basic_benchmark/rde.py | CipiOrhei/eecvf | 759fb2127c8d65a570ba2df536ff8429ccf5bdf2 | [
"MIT"
] | 1 | 2021-04-02T15:33:12.000Z | 2021-04-02T15:33:12.000Z | Benchmarking/CM_Benchmark/basic_benchmark/rde.py | CipiOrhei/eecvf | 759fb2127c8d65a570ba2df536ff8429ccf5bdf2 | [
"MIT"
] | null | null | null | Benchmarking/CM_Benchmark/basic_benchmark/rde.py | CipiOrhei/eecvf | 759fb2127c8d65a570ba2df536ff8429ccf5bdf2 | [
"MIT"
] | 1 | 2021-08-14T09:07:22.000Z | 2021-08-14T09:07:22.000Z | import math
import os
from math import log10
# noinspection PyPackageRequirements
import cv2
import numpy as np
from scipy.ndimage import distance_transform_edt
import config_main
from Utils.log_handler import log_setup_info_to_console, log_error_to_console, log_benchmark_info_to_console
from Benchmarking.Ut... | 37.517483 | 146 | 0.608574 | import math
import os
from math import log10
import cv2
import numpy as np
from scipy.ndimage import distance_transform_edt
import config_main
from Utils.log_handler import log_setup_info_to_console, log_error_to_console, log_benchmark_info_to_console
from Benchmarking.Util.image_parsing import find_img_exte... | true | true |
f7217797ff9948fe15504b1554d32d09382f057d | 3,899 | py | Python | PaddleCV/tracking/ltr/data/loader.py | zhousanfu/paddle-demo | 56860c5241874fe6111def46ea2f3f91e3ba80de | [
"Apache-2.0"
] | 1 | 2021-07-07T11:04:11.000Z | 2021-07-07T11:04:11.000Z | PaddleCV/tracking/ltr/data/loader.py | zhousanfu/paddle_demo | 56860c5241874fe6111def46ea2f3f91e3ba80de | [
"Apache-2.0"
] | null | null | null | PaddleCV/tracking/ltr/data/loader.py | zhousanfu/paddle_demo | 56860c5241874fe6111def46ea2f3f91e3ba80de | [
"Apache-2.0"
] | 1 | 2021-05-18T06:36:32.000Z | 2021-05-18T06:36:32.000Z | import os
import sys
import dataflow as df
import numpy as np
class LTRLoader(df.DataFlow):
"""
Data loader. Combines a dataset and a sampler, and provides
single- or multi-process iterators over the dataset.
Note: an additional option stack_dim is available to
select along which dimensi... | 39.383838 | 90 | 0.60118 | import os
import sys
import dataflow as df
import numpy as np
class LTRLoader(df.DataFlow):
__initialized = False
def __init__(self,
name,
dataset,
training=True,
batch_size=1,
shuffle=False,
sampler=None,... | true | true |
f72177dda3702aa0aa6df33982088a3eb433c9ba | 13,260 | py | Python | Lib/test/test_module.py | ErikBjare/cpython | b68431fadb3150134ac6ccbf501cdfeaf4c75678 | [
"0BSD"
] | 5 | 2021-12-03T23:11:53.000Z | 2022-01-08T21:02:50.000Z | Lib/test/test_module.py | dalakatt/cpython | 2f49b97cc5426087b46515254b9a97a22ee8c807 | [
"0BSD"
] | 8 | 2022-01-07T11:31:11.000Z | 2022-03-04T00:07:16.000Z | Lib/test/test_module.py | dalakatt/cpython | 2f49b97cc5426087b46515254b9a97a22ee8c807 | [
"0BSD"
] | 1 | 2022-03-27T18:34:54.000Z | 2022-03-27T18:34:54.000Z | # Test the module type
import unittest
import weakref
from test.support import gc_collect
from test.support import import_helper
from test.support.script_helper import assert_python_ok
import sys
ModuleType = type(sys)
class FullLoader:
@classmethod
def module_repr(cls, m):
return "<module '{}' (craft... | 35.74124 | 80 | 0.597511 |
import unittest
import weakref
from test.support import gc_collect
from test.support import import_helper
from test.support.script_helper import assert_python_ok
import sys
ModuleType = type(sys)
class FullLoader:
@classmethod
def module_repr(cls, m):
return "<module '{}' (crafted)>".format(m.__name_... | true | true |
f7217a596eab242de146ed6262830949ee89e841 | 3,214 | py | Python | tsa/links/crawl.py | chbrown/topic-sentiment-authorship | e8cacf11b06583d9ed85ff790e1d5322e59f2fd6 | [
"MIT"
] | null | null | null | tsa/links/crawl.py | chbrown/topic-sentiment-authorship | e8cacf11b06583d9ed85ff790e1d5322e59f2fd6 | [
"MIT"
] | null | null | null | tsa/links/crawl.py | chbrown/topic-sentiment-authorship | e8cacf11b06583d9ed85ff790e1d5322e59f2fd6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import socket
import urllib.parse
from datetime import datetime
import requests
import requests.exceptions as reqexc
import sqlalchemy.exc as sqlexc
from tsa import stdoutn
from tsa.lib import html
from tsa.models import Endpoint, create_session
from tsa import logging
logger = logging.getLogger... | 32.14 | 90 | 0.641257 |
import socket
import urllib.parse
from datetime import datetime
import requests
import requests.exceptions as reqexc
import sqlalchemy.exc as sqlexc
from tsa import stdoutn
from tsa.lib import html
from tsa.models import Endpoint, create_session
from tsa import logging
logger = logging.getLogger(__name__)
whitespac... | true | true |
f7217b021c92c57203280273bd959699cf6039c7 | 46,777 | py | Python | learningTolearn/backbone/common.py | ximingxing/Learning-To-Learn | 0135cb41521a61d1f3248cf3fe409e51f824fe25 | [
"MIT"
] | 5 | 2019-12-01T02:52:39.000Z | 2020-10-20T01:51:40.000Z | learningTolearn/backbone/common.py | ximingxing/DeepLearningWithPytorch | 0135cb41521a61d1f3248cf3fe409e51f824fe25 | [
"MIT"
] | 1 | 2019-11-18T13:26:50.000Z | 2019-11-18T13:26:50.000Z | learningTolearn/backbone/common.py | ximingxing/Learning-To-Learn | 0135cb41521a61d1f3248cf3fe409e51f824fe25 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Description : Common routines for models in PyTorch.
Author : xxm
"""
__all__ = ['round_channels', 'Identity', 'Swish', 'HSigmoid', 'HSwish', 'get_activation_layer', 'conv1x1', 'conv3x3',
'depthwise_conv3x3', 'ConvBlock', 'conv1x1_block', 'conv3x3_block', 'conv7x7... | 31.122422 | 120 | 0.579195 |
__all__ = ['round_channels', 'Identity', 'Swish', 'HSigmoid', 'HSwish', 'get_activation_layer', 'conv1x1', 'conv3x3',
'depthwise_conv3x3', 'ConvBlock', 'conv1x1_block', 'conv3x3_block', 'conv7x7_block', 'dwconv_block',
'dwconv3x3_block', 'dwconv5x5_block', 'dwsconv3x3_block', 'PreConvBlock', 'pr... | true | true |
f7217b1eb67a285016b2a98bb8fdd6162553f11b | 1,418 | py | Python | crds/jwst/__init__.py | nden/crds | b72f14cf07531ca70b61daa6b58e762e5899afa4 | [
"BSD-3-Clause"
] | null | null | null | crds/jwst/__init__.py | nden/crds | b72f14cf07531ca70b61daa6b58e762e5899afa4 | [
"BSD-3-Clause"
] | null | null | null | crds/jwst/__init__.py | nden/crds | b72f14cf07531ca70b61daa6b58e762e5899afa4 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import os.path
from crds import reftypes
HERE = os.path.dirname(__file__) or "."
TYPES = reftypes.from_package_file(__file__)
INSTRUMENTS = TYPES.instruments
EXTENSIONS = TYPES.extensions
TEXT_DESCR = TYPES... | 33.761905 | 146 | 0.738364 | from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import os.path
from crds import reftypes
HERE = os.path.dirname(__file__) or "."
TYPES = reftypes.from_package_file(__file__)
INSTRUMENTS = TYPES.instruments
EXTENSIONS = TYPES.extensions
TEXT_DESCR = TYPES... | true | true |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.