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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b656645bcc71a628ef668e7169c02be6698981f6 | 48 | py | Python | server/tomato/__init__.py | dtcooper/tomato | a54aa3bc3858fa8ad377696f5275ac0c2103f33a | [
"MIT"
] | 1 | 2020-02-25T09:21:31.000Z | 2020-02-25T09:21:31.000Z | server/tomato/__init__.py | dtcooper/tomato | a54aa3bc3858fa8ad377696f5275ac0c2103f33a | [
"MIT"
] | null | null | null | server/tomato/__init__.py | dtcooper/tomato | a54aa3bc3858fa8ad377696f5275ac0c2103f33a | [
"MIT"
] | null | null | null | default_app_config = 'tomato.apps.TomatoConfig'
| 24 | 47 | 0.833333 | default_app_config = 'tomato.apps.TomatoConfig'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1332178f1063d191575dbabb00a6432c5253c8b8 | 801 | py | Python | 2017/11/solution.py | Artemigos/advent-of-code | 0b2ae6af3788b9e6891219b2b64ce0d510b3e1aa | [
"MIT"
] | null | null | null | 2017/11/solution.py | Artemigos/advent-of-code | 0b2ae6af3788b9e6891219b2b64ce0d510b3e1aa | [
"MIT"
] | null | null | null | 2017/11/solution.py | Artemigos/advent-of-code | 0b2ae6af3788b9e6891219b2b64ce0d510b3e1aa | [
"MIT"
] | null | null | null | import common
data = common.read_file('2017/11/data.txt').strip().split(',')
offset_x = 0
offset_y = 0
max_dist = 0
# |nw|n
# sw| |ne
# s |se|
for move in data:
if move == 'sw' or move == 's':
offset_x -= 1
elif move == 'n' or move == 'ne':
offset_x += 1
if move == 'nw' or move == ... | 18.204545 | 62 | 0.526841 | import common
data = common.read_file('2017/11/data.txt').strip().split(',')
offset_x = 0
offset_y = 0
def dist():
def sign(x):
if x > 0:
return 1
if x < 0:
return -1
return 0
if sign(offset_x) != sign(offset_y):
return max([abs(offset_x), abs(offset_y... | 0 | 0 | 0 | 0 | 0 | 236 | 0 | 0 | 23 |
54a9831344f4c0e3f5b036d8445596a4fd1bd19f | 12,297 | py | Python | backend/tests/test_vote.py | Davidw1339/GroceryBuddy | 6e2fde00999b4b9e218a919d793ee10128212ea8 | [
"Apache-2.0"
] | null | null | null | backend/tests/test_vote.py | Davidw1339/GroceryBuddy | 6e2fde00999b4b9e218a919d793ee10128212ea8 | [
"Apache-2.0"
] | 18 | 2019-02-09T21:59:15.000Z | 2019-03-10T19:13:19.000Z | backend/tests/test_vote.py | Davidw1339/GroceryBuddy | 6e2fde00999b4b9e218a919d793ee10128212ea8 | [
"Apache-2.0"
] | 2 | 2019-02-12T17:12:22.000Z | 2019-02-25T05:41:31.000Z | import json
import model
from utils import Error
import test_data
def test_upvote(client, existing_item):
'''
Tests upvoting.
'''
upc = str(existing_item.upc)
store = existing_item.stores[0]
store_name = str(store.name)
lat = float(store.location['lat'])
long_arg = float(store.location... | 25.997886 | 75 | 0.582988 | import json
import model
from utils import Error
import test_data
import validation
def test_upvote(client, existing_item):
'''
Tests upvoting.
'''
upc = str(existing_item.upc)
store = existing_item.stores[0]
store_name = str(store.name)
lat = float(store.location['lat'])
long_arg = fl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -4 | 22 |
02404d9331a63bf8fa9b8c3262b1f0d51b0d7416 | 3,828 | py | Python | openslides_backend/models/base.py | r-peschke/openslides-backend | 83d0dab68bb914f06a0f50cffe23fc10ca45376f | [
"MIT"
] | null | null | null | openslides_backend/models/base.py | r-peschke/openslides-backend | 83d0dab68bb914f06a0f50cffe23fc10ca45376f | [
"MIT"
] | null | null | null | openslides_backend/models/base.py | r-peschke/openslides-backend | 83d0dab68bb914f06a0f50cffe23fc10ca45376f | [
"MIT"
] | null | null | null | from typing import Dict, Type
from ..shared.patterns import Collection
model_registry: Dict[Collection, Type["Model"]] = {}
| 33.578947 | 88 | 0.613375 | import re
from typing import Dict, Iterable, Optional, Type
from ..shared.patterns import Collection
from . import fields
model_registry: Dict[Collection, Type["Model"]] = {}
class ModelMetaClass(type):
"""
Metaclass for Model base class (see below).
This metaclass ensures that all fields get attribute... | 0 | 0 | 0 | 3,603 | 0 | 0 | 0 | 7 | 90 |
dbd10b530e1efbdd7bfcde5fecee46c89eefe1da | 276 | py | Python | test/test_astrofunc.py | LBJ-Wade/astrofunc_lensing_profile | d2223705bc44d07575a5e93291375ab8e69ebfa8 | [
"MIT"
] | null | null | null | test/test_astrofunc.py | LBJ-Wade/astrofunc_lensing_profile | d2223705bc44d07575a5e93291375ab8e69ebfa8 | [
"MIT"
] | null | null | null | test/test_astrofunc.py | LBJ-Wade/astrofunc_lensing_profile | d2223705bc44d07575a5e93291375ab8e69ebfa8 | [
"MIT"
] | null | null | null | """
Tests for `astrofunc` module.
"""
| 13.8 | 31 | 0.648551 | """
Tests for `astrofunc` module.
"""
import pytest
from astrofunc import astrofunc
class TestAstrofunc(object):
@classmethod
def setup_class(cls):
pass
def test_something(self):
pass
@classmethod
def teardown_class(cls):
pass
| 0 | 63 | 0 | 105 | 0 | 0 | 0 | 2 | 67 |
0a24d1d4f17820efe8895ed41e622db3e084accc | 1,713 | py | Python | AutoHTMLReload/__main__.py | jupiterbjy/ProjectIncubator | 81ea87f927cda105ff55aa9504bd1d9ea7318bcd | [
"MIT"
] | 1 | 2021-05-21T08:08:57.000Z | 2021-05-21T08:08:57.000Z | AutoHTMLReload/__main__.py | jupiterbjy/ProjectIncubator | 81ea87f927cda105ff55aa9504bd1d9ea7318bcd | [
"MIT"
] | null | null | null | AutoHTMLReload/__main__.py | jupiterbjy/ProjectIncubator | 81ea87f927cda105ff55aa9504bd1d9ea7318bcd | [
"MIT"
] | null | null | null | import argparse
import time
try:
from TinyTools.LoggingConfigurator import logger
except ModuleNotFoundError:
from sys import path
from os.path import abspath
path.append(abspath(""))
parser = argparse.ArgumentParser(description="Auto-reload designated HTML file using selenium and watchdog.")
parser.... | 25.567164 | 109 | 0.697023 | import argparse
import pathlib
import time
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
from selenium import webdriver
try:
from TinyTools.LoggingConfigurator import logger
except ModuleNotFoundError:
from sys import path
from os.path import abspath
path.a... | 0 | 0 | 0 | 174 | 0 | 570 | 0 | 76 | 185 |
12b1642a0f903292290653b06867eeab2de6d92b | 2,016 | py | Python | pilapse/interface.py | git-akihakune/pilapse | 2e2cb99e074b5b234c3d8816d421e3d24909e2e6 | [
"MIT"
] | null | null | null | pilapse/interface.py | git-akihakune/pilapse | 2e2cb99e074b5b234c3d8816d421e3d24909e2e6 | [
"MIT"
] | null | null | null | pilapse/interface.py | git-akihakune/pilapse | 2e2cb99e074b5b234c3d8816d421e3d24909e2e6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Because it's better not to rely on external libraries
def banner():
"""Print the program's banner"""
banner = """
____ ____ __ __ ____ ___ ____
( _ \(_ _)( ) /__\ ( _ \/ __)( ___)
)___/ _)(_ )(__ /(__)\ )___/\__ \ )__)
(__) (____)(____)(__)(__)(__) (___/(... | 27.243243 | 86 | 0.573413 | #!/usr/bin/env python3
# Because it's better not to rely on external libraries
class logger:
def __init__(self, verbose: bool) -> None:
self.verbose = verbose
def error(self, text):
print("{} {}".format("\033[95m[error]\033[00m", text))
def critical(self, text):
print("{} {}".form... | 0 | 0 | 0 | 741 | 0 | 270 | 0 | 0 | 45 |
69bd7542bf468a9b3b4f4930726f0a785514ea9f | 23 | py | Python | Python/Tests/TestData/DebuggerProject/DebugReplTest5.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 404 | 2019-05-07T02:21:57.000Z | 2022-03-31T17:03:04.000Z | Python/Tests/TestData/DebuggerProject/DebugReplTest5.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 1,672 | 2019-05-06T21:09:38.000Z | 2022-03-31T23:16:04.000Z | Python/Tests/TestData/DebuggerProject/DebugReplTest5.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 186 | 2019-05-13T03:17:37.000Z | 2022-03-31T16:24:05.000Z |
print('')
| 5.75 | 11 | 0.652174 | import time
print('')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 22 |
cf0656a44175ebff827492b59c164f6449521196 | 5,234 | py | Python | banners.py | FingerLeakers/technowlogger | 9b5dd3cf83521e6cacc5504114b930270fb1d414 | [
"BSD-3-Clause"
] | 153 | 2020-09-02T07:41:49.000Z | 2022-03-24T11:57:46.000Z | banners.py | FingerLeakers/technowlogger | 9b5dd3cf83521e6cacc5504114b930270fb1d414 | [
"BSD-3-Clause"
] | 25 | 2019-10-28T03:36:19.000Z | 2020-08-31T11:51:42.000Z | banners.py | FingerLeakers/technowlogger | 9b5dd3cf83521e6cacc5504114b930270fb1d414 | [
"BSD-3-Clause"
] | 34 | 2020-10-01T15:20:38.000Z | 2022-03-28T20:42:07.000Z |
figlet_ansi_shadow = """
"""
figlet_big = """
______... | 49.847619 | 162 | 0.2094 | import random
figlet_ansi_shadow = """
████████╗██╗ ██████╗ ██████╗ ██████╗ ███████╗██████╗
╚══██╔══╝██║ ██╔═══██╗██╔════╝ ██╔════╝ ██╔════╝██╔══██╗
██║ ██║ ██║ ██║██║ ███╗██║ ███╗█████╗ ██████╔╝
██║ ██║ ██║ ██║██║ ██║██║ ██║██╔══╝ ██╔══██╗
██║ ███████╗╚██████╔╝╚... | 1,716 | 0 | 0 | 0 | 0 | 160 | 0 | -8 | 47 |
d7f906859a056378a94b0694f7bb8266790d82ec | 452 | bzl | Python | rust/deps.bzl | justinwp/rules_proto | 76e30bc0ad6c2f4150f40e593db83eedeb069f1e | [
"Apache-2.0"
] | null | null | null | rust/deps.bzl | justinwp/rules_proto | 76e30bc0ad6c2f4150f40e593db83eedeb069f1e | [
"Apache-2.0"
] | null | null | null | rust/deps.bzl | justinwp/rules_proto | 76e30bc0ad6c2f4150f40e593db83eedeb069f1e | [
"Apache-2.0"
] | null | null | null | load(
"//:deps.bzl",
"com_google_protobuf",
"io_bazel_rules_rust",
)
| 21.52381 | 33 | 0.719027 | load(
"//:deps.bzl",
"com_google_protobuf",
"io_bazel_rules_rust",
)
def rust_proto_compile(**kwargs):
com_google_protobuf(**kwargs)
io_bazel_rules_rust(**kwargs)
def rust_grpc_compile(**kwargs):
rust_proto_compile(**kwargs)
def rust_proto_library(**kwargs):
rust_proto_compile(**kwargs)
... | 0 | 0 | 0 | 0 | 0 | 279 | 0 | 0 | 92 |
95f681282c638cfe3b0e868377558b9e8a5cbe87 | 292 | py | Python | wwwhisper_admin/__init__.py | wrr/wwwhisper | 38a55dd9c828fbb1b5a8234ea3ddf2242e684983 | [
"MIT"
] | 54 | 2015-01-19T23:49:39.000Z | 2021-02-18T01:14:51.000Z | wwwhisper_admin/__init__.py | wrr/wwwhisper | 38a55dd9c828fbb1b5a8234ea3ddf2242e684983 | [
"MIT"
] | 13 | 2015-01-26T14:51:10.000Z | 2020-11-10T04:15:36.000Z | wwwhisper_admin/__init__.py | wrr/wwwhisper | 38a55dd9c828fbb1b5a8234ea3ddf2242e684983 | [
"MIT"
] | 11 | 2015-07-25T02:13:12.000Z | 2021-07-10T14:11:46.000Z | # wwwhisper - web access control.
# Copyright (C) 2012-2018 Jan Wrobel <jan@mixedbit.org>
"""wwwhisper admin API.
The package exposes http API for specifying which users can access
which locations and for other admin operations.
"""
default_app_config = 'wwwhisper_admin.appconfig.Config'
| 26.545455 | 66 | 0.777397 | # wwwhisper - web access control.
# Copyright (C) 2012-2018 Jan Wrobel <jan@mixedbit.org>
"""wwwhisper admin API.
The package exposes http API for specifying which users can access
which locations and for other admin operations.
"""
default_app_config = 'wwwhisper_admin.appconfig.Config'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
487ec555e13c25fe91160533649b3523747000df | 3,729 | py | Python | tests/minionswarm.py | mika/salt | 8430482c7177356964c894d161830c94d09f1cab | [
"Apache-2.0"
] | 1 | 2016-09-16T17:12:11.000Z | 2016-09-16T17:12:11.000Z | tests/minionswarm.py | mika/salt | 8430482c7177356964c894d161830c94d09f1cab | [
"Apache-2.0"
] | null | null | null | tests/minionswarm.py | mika/salt | 8430482c7177356964c894d161830c94d09f1cab | [
"Apache-2.0"
] | null | null | null | #/usr/bin/env python
'''
The minionswarm script will start a group of salt minions with different ids
on a single system to test scale capabilities
'''
# Import Python Libs
import optparse
# Import salt libs
# Import third party libs
def parse():
'''
Parse the cli options
'''
parser = optparse.Opti... | 26.260563 | 78 | 0.503888 | #/usr/bin/env python
'''
The minionswarm script will start a group of salt minions with different ids
on a single system to test scale capabilities
'''
# Import Python Libs
import os
import optparse
import subprocess
import tempfile
import shutil
import random
import hashlib
# Import salt libs
import salt
# Import t... | 0 | 0 | 0 | 2,270 | 0 | 0 | 0 | -65 | 199 |
6a265cb064e17fd5725f7e3cb5bfe8927eb217f2 | 106 | py | Python | tests/python.py | Doombite/python-cs50 | 9a384f6e24dfa2a666c4904a2a2021470792bfda | [
"MIT"
] | 1 | 2022-02-26T13:50:06.000Z | 2022-02-26T13:50:06.000Z | tests/python.py | Doombite/python-cs50 | 9a384f6e24dfa2a666c4904a2a2021470792bfda | [
"MIT"
] | null | null | null | tests/python.py | Doombite/python-cs50 | 9a384f6e24dfa2a666c4904a2a2021470792bfda | [
"MIT"
] | 1 | 2022-03-05T09:06:50.000Z | 2022-03-05T09:06:50.000Z | import sys
sys.path.insert(0, "../src")
import cs50
i = cs50.get_int("Input: ")
print(f"Output: {i}")
| 11.777778 | 28 | 0.622642 | import sys
sys.path.insert(0, "../src")
import cs50
i = cs50.get_int("Input: ")
print(f"Output: {i}")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
30602707207ab4110fd6f44ab1068a80c01efc53 | 709 | py | Python | config.py | xiaosimao/ip_pool | 5f074f7288ed4174f44096d8d982a1d7caa3460a | [
"Apache-2.0"
] | 659 | 2017-09-22T09:30:43.000Z | 2022-02-20T05:10:32.000Z | config.py | chengzhu-zc/IP_POOL | 5f074f7288ed4174f44096d8d982a1d7caa3460a | [
"Apache-2.0"
] | 3 | 2017-10-27T16:48:09.000Z | 2018-03-07T00:52:41.000Z | config.py | chengzhu-zc/IP_POOL | 5f074f7288ed4174f44096d8d982a1d7caa3460a | [
"Apache-2.0"
] | 179 | 2017-09-22T09:30:43.000Z | 2021-08-19T02:52:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by shimeng on 17-8-17
#
spider_name = 'get_ip'
#
log_folder_name = '%s_logs' % spider_name
delete_existed_logs = True
#
thread_num = 50
sleep_time = 0.5
retry_times = 10
time_out = 5
# use_proxyTrueargsip, eg: ip="120.52.72.58:80",
use_proxy = False
ip = N... | 16.488372 | 77 | 0.732017 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by shimeng on 17-8-17
# 爬虫名称
spider_name = 'get_ip'
# 日志设置
log_folder_name = '%s_logs' % spider_name
delete_existed_logs = True
# 请求参数设置
thread_num = 50
sleep_time = 0.5
retry_times = 10
time_out = 5
# 当use_proxy为True时，必须在请求的args中或者在配置文件中定义ip, eg: ip="120.52.7... | 354 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b17bd501de05aab10f4db56343dd9a372946a8ec | 4,566 | py | Python | Day 73/Model-1.py | vgaurav3011/100-Days-of-ML | ec302b03fd492c459cff2592b3a4f5e38f9c9d72 | [
"MIT"
] | 12 | 2020-03-30T15:10:48.000Z | 2021-11-08T06:04:01.000Z | Day 73/Model-1.py | vgaurav3011/100-Days-of-ML | ec302b03fd492c459cff2592b3a4f5e38f9c9d72 | [
"MIT"
] | 3 | 2021-06-08T22:34:58.000Z | 2022-01-13T03:25:23.000Z | Day 73/Model-1.py | vgaurav3011/100-Days-of-ML | ec302b03fd492c459cff2592b3a4f5e38f9c9d72 | [
"MIT"
] | 3 | 2020-04-13T09:51:28.000Z | 2021-04-28T07:37:36.000Z | # -*- coding: utf-8 -*-
"""Working_Model.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/15vMWS3F0cKUYSGMFpdKrZkNjuDhfApRm
"""
from google.colab import drive
drive.mount('/content/drive')
import pandas as pd
import seaborn as sns
from lightgbm... | 31.708333 | 110 | 0.708717 | # -*- coding: utf-8 -*-
"""Working_Model.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/15vMWS3F0cKUYSGMFpdKrZkNjuDhfApRm
"""
from google.colab import drive
drive.mount('/content/drive')
import pandas as pd
import numpy as np
import matplotli... | 0 | 0 | 0 | 0 | 0 | 2,174 | 0 | 115 | 348 |
235921857a710d571fbd81b754a11f3d958d21d5 | 5,413 | py | Python | bme280.py | rainerraul/pi-python | 111a50b5fa23960f02c4a19740b40e6026b7741c | [
"MIT"
] | null | null | null | bme280.py | rainerraul/pi-python | 111a50b5fa23960f02c4a19740b40e6026b7741c | [
"MIT"
] | null | null | null | bme280.py | rainerraul/pi-python | 111a50b5fa23960f02c4a19740b40e6026b7741c | [
"MIT"
] | null | null | null | #!/usr/bin/python
import smbus
import time
twowire = smbus.SMBus(1)
cal0 = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
cal1 = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
dig_T = [0,0,0,0,0,0,0,0,0]
dig_P = [0,0,0,0,0,0,0,0,0,0]
dig_H = [0,0,0,0,0,0,0,0,0]
raw_data = [0,0,0,0,0,0,0,0]
raw_values = [0,0,0]
TEMP = 1 ... | 28.946524 | 118 | 0.630334 | #!/usr/bin/python
import smbus
import os
import time
import math
twowire = smbus.SMBus(1)
cal0 = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
cal1 = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
dig_T = [0,0,0,0,0,0,0,0,0]
dig_P = [0,0,0,0,0,0,0,0,0,0]
dig_H = [0,0,0,0,0,0,0,0,0]
raw_data = [0,0,0,0,0,0,0,0]
raw_value... | 0 | 0 | 0 | 0 | 0 | 3,556 | 0 | -22 | 366 |
908832a2def4f0eda1e748b9c14c553a6a6db9f4 | 1,476 | py | Python | graph/Python/DSU-Kruskal.py | bakuryuthem0/al-go-rithms | 8ad4b65a988740525585ecae2b6f0b815cdbcd66 | [
"CC0-1.0"
] | 4 | 2019-10-11T06:12:18.000Z | 2021-08-01T14:24:18.000Z | graph/Python/DSU-Kruskal.py | bakuryuthem0/al-go-rithms | 8ad4b65a988740525585ecae2b6f0b815cdbcd66 | [
"CC0-1.0"
] | null | null | null | graph/Python/DSU-Kruskal.py | bakuryuthem0/al-go-rithms | 8ad4b65a988740525585ecae2b6f0b815cdbcd66 | [
"CC0-1.0"
] | 8 | 2019-10-11T22:05:43.000Z | 2021-12-23T23:18:12.000Z |
n = int(input("Enter number of nodes:"))
node = Node()
node.makeset(n)
edges = int(input("Enter number of edges:"))
lis = []
mst = []
for i in range(edges):
x, y, w = input().split(' ')
lis.append((int(w), int(x), int(y)))
lis.sort()
print (lis)
for j in range(edges):
u = lis[j][1]
v = lis[j][2]
... | 24.196721 | 69 | 0.50813 | class Node:
def __init__(self):
self.nodes = []
self.index = 0
self.rank = 0
self.parent = None
def makeset(self, n):
for i in range(0, n):
node = Node()
node.index = i
node.rank = 0
node.parent = node
self.nod... | 0 | 0 | 0 | 707 | 0 | 0 | 0 | 0 | 22 |
be270763ac97712ab39d7683d00404bf471ffdc0 | 9,476 | py | Python | asyncpraw/exceptions.py | vikasbhatia/asyncpraw | 8b9e1bd72945023f6eb4567ff69ba13aa428a2d2 | [
"BSD-2-Clause"
] | null | null | null | asyncpraw/exceptions.py | vikasbhatia/asyncpraw | 8b9e1bd72945023f6eb4567ff69ba13aa428a2d2 | [
"BSD-2-Clause"
] | null | null | null | asyncpraw/exceptions.py | vikasbhatia/asyncpraw | 8b9e1bd72945023f6eb4567ff69ba13aa428a2d2 | [
"BSD-2-Clause"
] | 1 | 2020-12-13T05:10:35.000Z | 2020-12-13T05:10:35.000Z | """PRAW exception classes.
Includes two main exceptions: :class:`.RedditAPIException` for when something
goes wrong on the server side, and :class:`.ClientException` when something
goes wrong on the client side. Both of these classes extend
:class:`.PRAWException`.
All other exceptions are subclassed from :class:`.Cl... | 34.209386 | 123 | 0.633917 | """PRAW exception classes.
Includes two main exceptions: :class:`.RedditAPIException` for when something
goes wrong on the server side, and :class:`.ClientException` when something
goes wrong on the client side. Both of these classes extend
:class:`.PRAWException`.
All other exceptions are subclassed from :class:`.Cl... | 0 | 2,652 | 0 | 6,104 | 0 | 0 | 0 | 23 | 343 |
89046272d87a83b82a67a3e619887f60e1f0fabc | 1,927 | py | Python | GC/Tareas/T3/manejoMatrices.py | BenchHPZ/UG-Compu | fa3551a862ee04b59a5ba97a791f39a77ce2df60 | [
"MIT"
] | null | null | null | GC/Tareas/T3/manejoMatrices.py | BenchHPZ/UG-Compu | fa3551a862ee04b59a5ba97a791f39a77ce2df60 | [
"MIT"
] | null | null | null | GC/Tareas/T3/manejoMatrices.py | BenchHPZ/UG-Compu | fa3551a862ee04b59a5ba97a791f39a77ce2df60 | [
"MIT"
] | null | null | null | """ Modulo para manejo de matrices de transformadas. """
# Decorador para mantener orden en matriz
def matriz_propia(fun):
""" Funcion para manejar espacios de matriz de OpenGL.
La funcion que sea recibida por el decorador
espera manejar matrices de traslacion, rota_
cion o escalamiento de OpenGl. De... | 27.927536 | 61 | 0.631033 | """ Modulo para manejo de matrices de transformadas. """
from OpenGL.GL import *
from functools import wraps
# Decorador para mantener orden en matriz
def matriz_propia(fun):
""" Funcion para manejar espacios de matriz de OpenGL.
La funcion que sea recibida por el decorador
espera manejar matrices de tr... | 0 | 98 | 0 | 1,083 | 0 | 0 | 0 | 8 | 94 |
ced5ec306c4708726849d200dff4bf825420a0df | 1,940 | py | Python | blitzortung/dataimport/raw_signal.py | wuan/bo-python | 86c90e437ff456092bf7c9eff8c85daffdd220f0 | [
"Apache-2.0"
] | 3 | 2015-04-09T22:33:59.000Z | 2019-02-12T12:52:16.000Z | blitzortung/dataimport/raw_signal.py | wuan/bo-python | 86c90e437ff456092bf7c9eff8c85daffdd220f0 | [
"Apache-2.0"
] | 7 | 2015-05-23T13:38:14.000Z | 2019-12-13T20:43:12.000Z | blitzortung/dataimport/raw_signal.py | wuan/bo-python | 86c90e437ff456092bf7c9eff8c85daffdd220f0 | [
"Apache-2.0"
] | 4 | 2015-12-13T12:40:40.000Z | 2021-07-09T10:48:16.000Z | # -*- coding: utf8 -*-
"""
Copyright 2014-2016 Andreas Wrl
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 app... | 34.642857 | 111 | 0.702062 | # -*- coding: utf8 -*-
"""
Copyright 2014-2016 Andreas Würl
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 ap... | 2 | 1,117 | 0 | 0 | 0 | 0 | 0 | 63 | 114 |
3645603ad6f0fd55309e78f9e8fef65537843d6a | 1,344 | py | Python | archiveur.py | leximpact/tweet-archiveur | 5792862b632012be0517445c77b76b87c2720c5e | [
"Apache-2.0"
] | 1 | 2021-03-19T15:36:48.000Z | 2021-03-19T15:36:48.000Z | archiveur.py | leximpact/tweet-archiveur | 5792862b632012be0517445c77b76b87c2720c5e | [
"Apache-2.0"
] | null | null | null | archiveur.py | leximpact/tweet-archiveur | 5792862b632012be0517445c77b76b87c2720c5e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
from tweet_archiveur.scrapper import Scrapper
from tweet_archiveur.database import Database
from os import getenv
from dotenv import load_dotenv
from pathlib import Path
from sys import exit
import logging
# Logging
logger = logging.getLogger("tweet-archiveur")
logFormatter = logging.Formatter("%(as... | 27.428571 | 90 | 0.756696 | #!/usr/bin/python
from tweet_archiveur.scrapper import Scrapper
from tweet_archiveur.database import Database
import pandas as pd
from os import getenv
from dotenv import load_dotenv
from pathlib import Path
from sys import exit
import logging
import time
import tweepy
import random
# Logging
logger = logging.getLogg... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -28 | 88 |
ca5bbe1512658899deeca8004f0493770fe0bcd9 | 2,996 | py | Python | lib/service/AthleteData.py | SportsToken/ae_dapp | 8547a35d7d08bbef86483b170804f8961234642c | [
"MIT"
] | 4 | 2021-08-17T02:25:42.000Z | 2022-01-26T17:10:43.000Z | lib/service/AthleteData.py | SportsToken/ax_dapp | b99d923b698f25b2579b9a78dca18394ac9c238c | [
"MIT"
] | 136 | 2021-08-12T19:33:03.000Z | 2022-03-10T21:15:26.000Z | lib/service/AthleteData.py | SportsToken/ae_dapp | 8547a35d7d08bbef86483b170804f8961234642c | [
"MIT"
] | null | null | null | import requests
import json
# from requests.sessions import _TextMapping
ATHLETES = []
with open('../../assets/nflAthletes.json', 'r') as athFile:
data = athFile.read()
athJson = json.loads(data)
# list of abbreviated names
active_list = []
id_list = []
for ath in athJson:
id_list.append(ath['id'])
ac... | 29.96 | 330 | 0.594793 | import requests
import json
import re
# from requests.sessions import _TextMapping
ATHLETES = []
with open('../../assets/nflAthletes.json', 'r') as athFile:
data = athFile.read()
athJson = json.loads(data)
# list of abbreviated names
active_list = []
id_list = []
for ath in athJson:
id_list.append(ath['id... | 0 | 0 | 0 | 715 | 0 | 0 | 0 | -12 | 45 |
d4fbf059031d5a37cd870c360fddc7dca01256be | 3,278 | py | Python | tests/security/test_image.py | xianfang-qian/docker_ci | 0ff773d1e7d9420ef6a05a63bc56b32952b71192 | [
"Apache-2.0"
] | 35 | 2020-10-11T07:39:42.000Z | 2022-03-20T06:17:08.000Z | tests/security/test_image.py | xianfang-qian/docker_ci | 0ff773d1e7d9420ef6a05a63bc56b32952b71192 | [
"Apache-2.0"
] | 32 | 2020-10-13T06:58:20.000Z | 2022-02-10T04:34:03.000Z | tests/security/test_image.py | xianfang-qian/docker_ci | 0ff773d1e7d9420ef6a05a63bc56b32952b71192 | [
"Apache-2.0"
] | 39 | 2020-10-07T07:22:20.000Z | 2022-03-14T18:21:56.000Z | # -*- coding: utf-8 -*-
# Copyright (C) 2019-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
| 51.21875 | 118 | 0.603722 | # -*- coding: utf-8 -*-
# Copyright (C) 2019-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import pathlib
import subprocess # nosec
import sys
import pytest
from setup import SNYK_API, SNYK_TOKEN
from utils.loader import SNYK_URL
from utils.utilities import download_file
class TestSDLImage:
@pyt... | 0 | 2,913 | 0 | -2 | 0 | 0 | 0 | 19 | 241 |
a2721b26bb01173ae62233042661b3f309e05fe2 | 8,960 | py | Python | py_proto/modules/prediction/proto/prediction_conf_pb2.py | yujianyi/fusion_localization | c0057e29cbf690d6260f021080fd951c1a6b6baa | [
"Apache-2.0"
] | 2 | 2019-03-04T02:11:04.000Z | 2019-04-18T11:19:45.000Z | py_proto/modules/prediction/proto/prediction_conf_pb2.py | yujianyi/fusion_localization | c0057e29cbf690d6260f021080fd951c1a6b6baa | [
"Apache-2.0"
] | 1 | 2019-03-15T08:37:53.000Z | 2019-03-15T08:37:53.000Z | py_proto/modules/prediction/proto/prediction_conf_pb2.py | yujianyi/fusion_localization | c0057e29cbf690d6260f021080fd951c1a6b6baa | [
"Apache-2.0"
] | 1 | 2019-03-04T02:11:09.000Z | 2019-03-04T02:11:09.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: modules/prediction/proto/prediction_conf.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.pro... | 37.805907 | 1,217 | 0.766853 | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: modules/prediction/proto/prediction_conf.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.pro... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 22 |
75cd32ba7e2545516e050e308b4e8da06031672a | 702 | py | Python | scripts/console_commands.py | iamHarin17/Core | 9ad22f97ae0dc2d9e0ae60528bd0c7b14999a306 | [
"MIT"
] | null | null | null | scripts/console_commands.py | iamHarin17/Core | 9ad22f97ae0dc2d9e0ae60528bd0c7b14999a306 | [
"MIT"
] | null | null | null | scripts/console_commands.py | iamHarin17/Core | 9ad22f97ae0dc2d9e0ae60528bd0c7b14999a306 | [
"MIT"
] | null | null | null |
TEMPLATE_PATH = "core/conf/projct_template"
| 29.25 | 59 | 0.64245 | import argparse
from os import path
from distutils.dir_util import copy_tree
TEMPLATE_PATH = "core/conf/projct_template"
def main():
parser = argparse.ArgumentParser()
parser.add_argument('operation', type=str, nargs='+',
help='project managment commands')
args = parser.parse_args... | 0 | 0 | 0 | 0 | 0 | 522 | 0 | 11 | 124 |
9d1eecec7500a32df6d5b5a44ca84f94d4f574d8 | 4,314 | py | Python | models/cnnlstm.py | Keiku/PyTorch-Lightning-Video-Classification | 72ed3c1606fe0657af267399fc32f1df59eca8ec | [
"MIT"
] | 5 | 2021-05-03T09:14:28.000Z | 2022-02-24T07:42:57.000Z | models/cnnlstm.py | Keiku/PyTorch-Lightning-Video-Classification | 72ed3c1606fe0657af267399fc32f1df59eca8ec | [
"MIT"
] | 1 | 2022-01-04T02:33:02.000Z | 2022-01-05T03:58:13.000Z | models.py | Keiku/Action-Recognition-CNN-LSTM | 004e4442d4a0e6a527396f279677c4d10cf92cbe | [
"MIT"
] | null | null | null | import torch.nn as nn
| 33.184615 | 85 | 0.597357 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from torchvision.models import resnet152
class Encoder(nn.Module):
def __init__(self, latent_dim):
super(Encoder, self).__init__()
resnet = resnet152(pretrained=True)
s... | 0 | 0 | 0 | 4,031 | 0 | 0 | 0 | 31 | 225 |
bdc33f192eb9520c77c9ba2ada5a552209ec4fd1 | 871 | py | Python | setup.py | dbeley/FIP_lastfm_mirror | 9561c233c0733a77a1ad59994e5792b52df76966 | [
"MIT"
] | null | null | null | setup.py | dbeley/FIP_lastfm_mirror | 9561c233c0733a77a1ad59994e5792b52df76966 | [
"MIT"
] | 1 | 2021-06-02T00:02:42.000Z | 2021-06-02T00:02:42.000Z | setup.py | dbeley/FIP_lastfm_mirror | 9561c233c0733a77a1ad59994e5792b52df76966 | [
"MIT"
] | null | null | null | import setuptools
import FIP_mirror
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="FIP_mirror",
version=FIP_mirror.__version__,
author="dbeley",
author_email="dbeley@protonmail.com",
description="Mirror the FIP webradios on several services.",
long_... | 27.21875 | 78 | 0.65442 | import setuptools
import FIP_mirror
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="FIP_mirror",
version=FIP_mirror.__version__,
author="dbeley",
author_email="dbeley@protonmail.com",
description="Mirror the FIP webradios on several services.",
long_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f63d872765b825c67b81518415277301754d214c | 109 | py | Python | achievements/settings.example.py | seLain/MissAchieve | e65ecf46d3c35b79151d526d0b0abce7b55a6652 | [
"MIT"
] | null | null | null | achievements/settings.example.py | seLain/MissAchieve | e65ecf46d3c35b79151d526d0b0abce7b55a6652 | [
"MIT"
] | 7 | 2018-03-29T05:38:46.000Z | 2021-06-10T20:09:49.000Z | achievements/settings.example.py | seLain/MissAchieve | e65ecf46d3c35b79151d526d0b0abce7b55a6652 | [
"MIT"
] | null | null | null | """
Settings for achievements app.
"""
DEFAULT_ADMIN = ''
DEFAULT_ADMIN_PASSWORD = ''
DEFAULT_ADMIN_MAIL = '' | 18.166667 | 30 | 0.724771 | """
Settings for achievements app.
"""
DEFAULT_ADMIN = ''
DEFAULT_ADMIN_PASSWORD = ''
DEFAULT_ADMIN_MAIL = '' | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3612bd57a165c25e66b5ce2e5f7f7966a9f8d5db | 17,209 | py | Python | flexmeasures/data/migrations/versions/6cf5b241b85f_copy_attributes_from_old_data_models_to_GenericAsset.py | FlexMeasures/flexmeasures | a4367976d37ac5721b8eb3ce8a2414595e52c678 | [
"Apache-2.0"
] | 12 | 2021-12-18T10:41:10.000Z | 2022-03-29T23:00:29.000Z | flexmeasures/data/migrations/versions/6cf5b241b85f_copy_attributes_from_old_data_models_to_GenericAsset.py | FlexMeasures/flexmeasures | a4367976d37ac5721b8eb3ce8a2414595e52c678 | [
"Apache-2.0"
] | 103 | 2021-12-07T08:51:15.000Z | 2022-03-31T13:28:48.000Z | flexmeasures/data/migrations/versions/6cf5b241b85f_copy_attributes_from_old_data_models_to_GenericAsset.py | FlexMeasures/flexmeasures | a4367976d37ac5721b8eb3ce8a2414595e52c678 | [
"Apache-2.0"
] | 3 | 2022-01-18T04:45:48.000Z | 2022-03-14T09:48:22.000Z | """Copy attributes from old data models to GenericAsset
Revision ID: 6cf5b241b85f
Revises: 1ae32ffc8c3f
Create Date: 2021-11-11 17:18:15.395915
"""
import json
from datetime import datetime
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "6cf5b241b85f"
down_revisi... | 34.009881 | 154 | 0.590505 | """Copy attributes from old data models to GenericAsset
Revision ID: 6cf5b241b85f
Revises: 1ae32ffc8c3f
Create Date: 2021-11-11 17:18:15.395915
"""
import json
from datetime import datetime
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "6cf5b241b85f"
down_revisi... | 0 | 0 | 0 | 0 | 0 | 1,920 | 0 | 0 | 69 |
34baf8bbf78edbbaa51c950b55c38d254daf2326 | 1,817 | py | Python | models/network.py | cristyioan2000/mask_classification | f5451c18864eb60c7642614df62dcae9f0983910 | [
"MIT"
] | null | null | null | models/network.py | cristyioan2000/mask_classification | f5451c18864eb60c7642614df62dcae9f0983910 | [
"MIT"
] | null | null | null | models/network.py | cristyioan2000/mask_classification | f5451c18864eb60c7642614df62dcae9f0983910 | [
"MIT"
] | null | null | null | import torch.nn as nn
if __name__ == "__main___":
__main__()
| 27.530303 | 97 | 0.606494 | import torch.nn as nn
import torch
from utils.model_utils import init_model
from torchsummary import summary
class Network_v1(nn.Module):
def __init__(self):
super(Network_v1,self).__init__()
# Define layers
self.conv1 = nn.Conv2d(in_channels=3,out_channels=64,kernel_size=5,stride=1,paddin... | 0 | 0 | 0 | 1,467 | 0 | 151 | 0 | 21 | 112 |
753cdda1822c89409e246fde61a373b297af8a46 | 716 | py | Python | setup.py | yangjiaronga/acmclient | d0e35cb2f711276df965bb8bf6e27b8ee33af729 | [
"MIT"
] | 2 | 2018-08-22T03:38:47.000Z | 2018-08-30T07:56:56.000Z | setup.py | yangjiaronga/acmclient | d0e35cb2f711276df965bb8bf6e27b8ee33af729 | [
"MIT"
] | null | null | null | setup.py | yangjiaronga/acmclient | d0e35cb2f711276df965bb8bf6e27b8ee33af729 | [
"MIT"
] | 2 | 2018-08-22T02:54:10.000Z | 2018-08-30T03:59:35.000Z | from setuptools import find_packages, setup
setup(
name='acmclient',
version="0.2",
url='https://github.com/yangjiaronga/acmclient/',
license='MIT',
author='yangjiaronga',
author_email='yangjiaronga@gmail.com',
description='Aliyun acm client for Python',
packages=find_packages(),
i... | 28.64 | 53 | 0.614525 | from setuptools import find_packages, setup
setup(
name='acmclient',
version="0.2",
url='https://github.com/yangjiaronga/acmclient/',
license='MIT',
author='yangjiaronga',
author_email='yangjiaronga@gmail.com',
description='Aliyun acm client for Python',
packages=find_packages(),
i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3d3ab17c34f53c838d4829ba2f2b0e468547c454 | 1,439 | py | Python | test/iter_test.py | TomNicholas/experi | 5d1c1a76fff9cca3009052093ed66dccd675ba7d | [
"MIT"
] | 4 | 2018-06-26T07:31:46.000Z | 2020-05-09T20:22:32.000Z | test/iter_test.py | TomNicholas/experi | 5d1c1a76fff9cca3009052093ed66dccd675ba7d | [
"MIT"
] | 131 | 2018-02-01T23:41:13.000Z | 2021-07-01T19:24:59.000Z | test/iter_test.py | TomNicholas/experi | 5d1c1a76fff9cca3009052093ed66dccd675ba7d | [
"MIT"
] | 1 | 2018-11-11T16:11:35.000Z | 2018-11-11T16:11:35.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright 2018 Malcolm Ramsay <malramsay64@gmail.com>
#
# Distributed under terms of the MIT license.
"""Test the behaviour of the looping through variables.
This is a series of tests that are defining the interface of the module,
primarily the iter... | 29.367347 | 85 | 0.694927 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2018 Malcolm Ramsay <malramsay64@gmail.com>
#
# Distributed under terms of the MIT license.
"""Test the behaviour of the looping through variables.
This is a series of tests that are defining the interface of the module,
primarily the ite... | 2 | 874 | 0 | 0 | 0 | 0 | 0 | 40 | 92 |
33803abf582abfd6fde5759fb4893b79e81960e2 | 1,067 | py | Python | color.py | roukaour/sudoku | f405f627b49b7400c8b41c36194d99ef4b6b179e | [
"MIT"
] | 7 | 2015-09-30T19:09:29.000Z | 2022-03-26T05:51:18.000Z | color.py | roukaour/sudoku | f405f627b49b7400c8b41c36194d99ef4b6b179e | [
"MIT"
] | 1 | 2018-07-10T18:31:45.000Z | 2018-07-11T01:32:11.000Z | color.py | roukaour/sudoku | f405f627b49b7400c8b41c36194d99ef4b6b179e | [
"MIT"
] | 2 | 2019-06-26T11:37:31.000Z | 2020-06-27T07:55:08.000Z | from __future__ import print_function
Color.NEITHER = Color(0, 'neither', '0')
Color.RED = Color(1, 'red', '31;1')
Color.BLUE = Color(~1, 'blue', '44')
Color.PURPLE = Color(~0, 'purple', '37;45;1')
# RED == ~BLUE
# BLUE == ~RED
# PURPLE == RED | BLUE
# NEITHER == RED & BLUE
| 21.77551 | 65 | 0.661668 | from __future__ import print_function
import sys
class Color(object):
"""A printable and mixable color."""
# A dictionary of all colors, keyed by their numeric value
colors = {}
def __init__(self, value, name, code):
self.value = value
self.name = name
self.code = code
Color.colors[value] = self
def _... | 0 | 0 | 0 | 755 | 0 | 0 | 0 | -11 | 46 |
58d7874e2071ed69f4f866554b981b6b71c80653 | 15,976 | py | Python | xlsxwriter/test/styles/test_write_xf_methods.py | DeltaEpsilon7787/XlsxWriter | 550b9c5bd678c861dcc9f6f4072b33a69566e065 | [
"BSD-2-Clause-FreeBSD"
] | 2,766 | 2015-01-02T17:36:42.000Z | 2022-03-31T09:23:30.000Z | xlsxwriter/test/styles/test_write_xf_methods.py | DeltaEpsilon7787/XlsxWriter | 550b9c5bd678c861dcc9f6f4072b33a69566e065 | [
"BSD-2-Clause-FreeBSD"
] | 683 | 2015-01-03T09:55:02.000Z | 2022-03-31T07:18:15.000Z | xlsxwriter/test/styles/test_write_xf_methods.py | jmcnamara/test_py_github_actions | d445d5d98b038b63453dd70c9c1a9ca1b325cb47 | [
"BSD-2-Clause-FreeBSD"
] | 636 | 2015-01-05T01:57:08.000Z | 2022-03-25T18:42:41.000Z | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2021, John McNamara, jmcnamara@cpan.org
#
| 31.824701 | 191 | 0.607223 | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2021, John McNamara, jmcnamara@cpan.org
#
import unittest
from io import StringIO
from ...styles import Styles
from ...format import Format
class TestWriteXf(unittest.TestCase):
"""
... | 0 | 0 | 0 | 15,681 | 0 | 0 | 0 | 10 | 112 |
0ae883536fe83d78c8c4581559039a3ac14f939f | 10,202 | py | Python | auscophub/saraclient.py | CopernicusAustralasia/auscophub | d7e2974898bb3ee9b262281fbd663326c1c48d05 | [
"MIT"
] | 4 | 2020-01-25T02:01:49.000Z | 2021-06-21T08:38:18.000Z | auscophub/saraclient.py | CopernicusAustralasia/auscophub | d7e2974898bb3ee9b262281fbd663326c1c48d05 | [
"MIT"
] | null | null | null | auscophub/saraclient.py | CopernicusAustralasia/auscophub | d7e2974898bb3ee9b262281fbd663326c1c48d05 | [
"MIT"
] | null | null | null | """
Functions for interface to the SARA client API.
These routines can be used to build client-side applications for searching and
downloading data.
The most obvious way to use these routines is as follows::
urlOpener = saraclient.makeUrlOpener()
sentinel = 2
paramList = ['startDate=2017-05-01', 'comp... | 38.790875 | 97 | 0.685846 | """
Functions for interface to the SARA client API.
These routines can be used to build client-side applications for searching and
downloading data.
The most obvious way to use these routines is as follows::
urlOpener = saraclient.makeUrlOpener()
sentinel = 2
paramList = ['startDate=2017-05-01', 'comp... | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 0 | 23 |
2ba1a6712dd4c0afededa3165d1286b86bf017a5 | 87,967 | py | Python | dynamo/preprocessing/preprocess.py | aristoteleo/dynamo-release | 841b5f1ba0d0e9d0ae75ff71e764828a7051d462 | [
"BSD-3-Clause"
] | 236 | 2019-07-09T22:06:21.000Z | 2022-03-31T17:56:07.000Z | dynamo/preprocessing/preprocess.py | crsky1023/dynamo-release | 793ea493b5fbcfece00c249493ee222fa128c774 | [
"BSD-3-Clause"
] | 115 | 2019-07-12T19:06:21.000Z | 2022-03-31T17:34:18.000Z | dynamo/preprocessing/preprocess.py | crsky1023/dynamo-release | 793ea493b5fbcfece00c249493ee222fa128c774 | [
"BSD-3-Clause"
] | 34 | 2019-07-10T03:34:04.000Z | 2022-03-22T12:44:22.000Z | from collections.abc import Iterable
import numpy as np
import pandas as pd
import warnings
from scipy.sparse import issparse, csr_matrix
from sklearn.decomposition import FastICA
from sklearn.utils import sparsefuncs
import anndata
from anndata import AnnData
from typing import Optional, Union, Callable
from .cell_cy... | 41.260319 | 136 | 0.608103 | from collections.abc import Iterable
import numpy as np
import pandas as pd
import warnings
from scipy.sparse import issparse, csr_matrix
from sklearn.decomposition import FastICA
from sklearn.utils import sparsefuncs
import anndata
from anndata import AnnData
from typing import Optional, Union, Callable
from .cell_cy... | 27 | 0 | 0 | 0 | 0 | 1,248 | 0 | 102 | 85 |
bfdd1b0704c3900d4fdd972910d23989016b822e | 9,020 | py | Python | cosmos/construct_caption_tables/construct.py | hadarohana/myCosmos | 6e4682a2af822eb828180658aaa6d3e304cc85bf | [
"Apache-2.0"
] | null | null | null | cosmos/construct_caption_tables/construct.py | hadarohana/myCosmos | 6e4682a2af822eb828180658aaa6d3e304cc85bf | [
"Apache-2.0"
] | 5 | 2020-01-28T23:13:10.000Z | 2022-02-10T00:28:15.000Z | cosmos/construct_caption_tables/construct.py | hadarohana/myCosmos | 6e4682a2af822eb828180658aaa6d3e304cc85bf | [
"Apache-2.0"
] | 1 | 2021-03-10T19:25:44.000Z | 2021-03-10T19:25:44.000Z | """
Construct csvs for Figure--Figure Captions/ Tables -- Table Captions
"""
from lxml import etree
import os
from Parser.parse_preprocess import get_words_from_child as get_words
from converters.html2xml import htmlfile2xml
from converters.xml2list import xml2list
import pandas as pd
import multiprocessing as mp
impo... | 40.267857 | 153 | 0.611197 | """
Construct csvs for Figure--Figure Captions/ Tables -- Table Captions
"""
from lxml import etree
import os
from Parser.parse_preprocess import get_words_from_child as get_words
from converters.html2xml import htmlfile2xml
from converters.xml2list import xml2list
import pandas as pd
import multiprocessing as mp
impo... | 0 | 338 | 0 | 0 | 0 | 258 | 0 | 13 | 128 |
4b5f6671ad6ba6bc14117e33a89d780d24c6e735 | 629 | py | Python | exasol_integration_test_docker_environment/test/test_find_free_port.py | exasol/integration-test-docker-environment | 35850f67cd4cde010f03dd556d1a0f74b3291eb8 | [
"MIT"
] | 4 | 2020-06-25T20:47:31.000Z | 2021-09-10T15:22:51.000Z | exasol_integration_test_docker_environment/test/test_find_free_port.py | exasol/integration-test-docker-environment | 35850f67cd4cde010f03dd556d1a0f74b3291eb8 | [
"MIT"
] | 113 | 2020-06-02T08:51:08.000Z | 2022-03-31T08:47:41.000Z | exasol_integration_test_docker_environment/test/test_find_free_port.py | exasol/integration-test-docker-environment | 35850f67cd4cde010f03dd556d1a0f74b3291eb8 | [
"MIT"
] | 2 | 2020-05-19T10:57:47.000Z | 2020-06-22T13:32:20.000Z | import unittest
if __name__ == '__main__':
unittest.main()
| 26.208333 | 84 | 0.680445 | import unittest
from exasol_integration_test_docker_environment.testing.utils import find_free_ports
class FindFreePortTest(unittest.TestCase):
def run_it(self, num_ports: int):
ports = find_free_ports(num_ports)
self.assertNotIn(0, ports)
self.assertEqual(len(ports), num_ports)
... | 0 | 0 | 0 | 454 | 0 | 0 | 0 | 63 | 46 |
37e7b4a58f2b5753a7f59640dc32a76aa6573b75 | 5,335 | py | Python | contrib/android/tests/python/pants_test/contrib/android/test_android_base.py | lahosken/pants | 1b0340987c9b2eab9411416803c75b80736716e4 | [
"Apache-2.0"
] | 1 | 2021-11-11T14:04:24.000Z | 2021-11-11T14:04:24.000Z | contrib/android/tests/python/pants_test/contrib/android/test_android_base.py | lahosken/pants | 1b0340987c9b2eab9411416803c75b80736716e4 | [
"Apache-2.0"
] | null | null | null | contrib/android/tests/python/pants_test/contrib/android/test_android_base.py | lahosken/pants | 1b0340987c9b2eab9411416803c75b80736716e4 | [
"Apache-2.0"
] | 1 | 2021-11-11T14:04:12.000Z | 2021-11-11T14:04:12.000Z | # coding=utf-8
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
| 38.65942 | 100 | 0.652296 | # coding=utf-8
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import os
import tex... | 0 | 4,132 | 0 | 260 | 0 | 0 | 0 | 351 | 291 |
ac71c80abca4e11319ef2d6387bdf0e57e982db3 | 3,539 | py | Python | src/SmallNet.py | aponamarev/FootBallTracking | a1907164aa35fe925b2a11a1c596c1a489b90231 | [
"MIT"
] | null | null | null | src/SmallNet.py | aponamarev/FootBallTracking | a1907164aa35fe925b2a11a1c596c1a489b90231 | [
"MIT"
] | null | null | null | src/SmallNet.py | aponamarev/FootBallTracking | a1907164aa35fe925b2a11a1c596c1a489b90231 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
SmallNet.py is a class that provides a network for Person localization
Created 6/13/17.
"""
__author__ = "Alexander Ponamarev"
__email__ = "alex.ponamaryov@gmail.com"
from collections import namedtuple
Point = namedtuple('Point',['x', 'y']) | 38.053763 | 100 | 0.60356 | #!/usr/bin/env python
"""
SmallNet.py is a class that provides a network for Person localization
Created 6/13/17.
"""
__author__ = "Alexander Ponamarev"
__email__ = "alex.ponamaryov@gmail.com"
import tensorflow as tf
from collections import namedtuple
from tensorflow import name_scope, variable_scope, stop_gradient
... | 0 | 0 | 0 | 3,108 | 0 | 0 | 0 | 71 | 91 |
3a3bfbf477153a99bd4a220d6c47d81694221478 | 22,557 | py | Python | SRC/common/IO/GUI/gtklogger/gtklogger/replay.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 31 | 2015-04-01T15:59:36.000Z | 2022-03-18T20:21:47.000Z | SRC/common/IO/GUI/gtklogger/gtklogger/replay.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 3 | 2015-02-06T19:30:24.000Z | 2017-05-25T14:14:31.000Z | SRC/common/IO/GUI/gtklogger/gtklogger/replay.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 7 | 2015-01-23T15:19:22.000Z | 2021-06-09T09:03:59.000Z | # -*- python -*-
# This software was produced by NIST, an agency of the U.S. government,
# and by statute is not subject to copyright in the United States.
# Recipients of this software assume all responsibilities associated
# with its operation, modification and maintenance. However, to
# facilitate maintenance we as... | 43.130019 | 80 | 0.563461 | # -*- python -*-
# This software was produced by NIST, an agency of the U.S. government,
# and by statute is not subject to copyright in the United States.
# Recipients of this software assume all responsibilities associated
# with its operation, modification and maintenance. However, to
# facilitate maintenance we as... | 0 | 0 | 0 | 18,831 | 0 | 836 | 0 | -59 | 432 |
d8199a578b11aa9d10481a36e6942b751c2361cb | 7,977 | py | Python | qa/rpc-tests/electrum_transaction_get.py | gandrewstone/bitcoin | 05de381c02eb4bfca94957733acadfa217527f25 | [
"MIT"
] | 535 | 2015-09-04T15:10:08.000Z | 2022-03-17T20:51:05.000Z | qa/rpc-tests/electrum_transaction_get.py | gandrewstone/bitcoin | 05de381c02eb4bfca94957733acadfa217527f25 | [
"MIT"
] | 1,269 | 2016-01-31T20:21:24.000Z | 2022-03-16T01:20:08.000Z | qa/rpc-tests/electrum_transaction_get.py | gandrewstone/bitcoin | 05de381c02eb4bfca94957733acadfa217527f25 | [
"MIT"
] | 295 | 2015-10-19T16:12:29.000Z | 2021-08-02T20:05:17.000Z | #!/usr/bin/env python3
# Copyright (c) 2020 The Bitcoin Unlimited developers
"""
Tests the electrum call 'blockchain.transaction.get'
"""
TX_GET = "blockchain.transaction.get"
DUMMY_HASH = 0x1111111111111111111111111111111111111111
if __name__ == '__main__':
ElectrumTransactionGet().main()
| 38.912195 | 113 | 0.55121 | #!/usr/bin/env python3
# Copyright (c) 2020 The Bitcoin Unlimited developers
"""
Tests the electrum call 'blockchain.transaction.get'
"""
import asyncio
from test_framework.util import assert_equal, p2p_port
from test_framework.electrumutil import ElectrumTestFramework, ElectrumConnection
from test_framework.nodemessag... | 0 | 0 | 5,349 | 1,793 | 0 | 0 | 0 | 360 | 177 |
8915b50a760df688402b47cae324268e702315b6 | 1,062 | py | Python | 233-Number-of-Digit-One/Python/Solution02.py | Eroica-cpp/LeetCode | 07276bd11558f3d0e32bec768b09e886de145f9e | [
"CC-BY-3.0",
"MIT"
] | 7 | 2015-05-05T22:21:30.000Z | 2021-03-13T04:04:15.000Z | 233-Number-of-Digit-One/Python/Solution02.py | Eroica-cpp/LeetCode | 07276bd11558f3d0e32bec768b09e886de145f9e | [
"CC-BY-3.0",
"MIT"
] | null | null | null | 233-Number-of-Digit-One/Python/Solution02.py | Eroica-cpp/LeetCode | 07276bd11558f3d0e32bec768b09e886de145f9e | [
"CC-BY-3.0",
"MIT"
] | 2 | 2018-12-26T08:13:25.000Z | 2020-07-18T20:18:24.000Z | #!/usr/bin/python
"""
==============================================================================
Author: Tao Li (taoli@ucsd.edu)
Date: Jul 8, 2015
Question: 233-Number-of-Digit-One
Link: https://leetcode.com/problems/number-of-digit-one/
====================================================================... | 33.1875 | 79 | 0.433145 | #!/usr/bin/python
"""
==============================================================================
Author: Tao Li (taoli@ucsd.edu)
Date: Jul 8, 2015
Question: 233-Number-of-Digit-One
Link: https://leetcode.com/problems/number-of-digit-one/
====================================================================... | 0 | 0 | 0 | 249 | 0 | 0 | 0 | 0 | 23 |
7d692475de01f8e179c2db79fa3131cc57a9d957 | 6,591 | py | Python | mistraldashboard/actions/forms.py | openstack/mistral-dashboard | 2980dfc44f11400c75a1113e468f50e7c6d6396c | [
"Apache-2.0"
] | 18 | 2015-06-23T08:06:12.000Z | 2019-07-18T10:32:17.000Z | mistraldashboard/actions/forms.py | stackforge/mistral-dashboard | 2980dfc44f11400c75a1113e468f50e7c6d6396c | [
"Apache-2.0"
] | 2 | 2016-06-03T15:20:20.000Z | 2016-08-09T04:57:38.000Z | mistraldashboard/actions/forms.py | stackforge/mistral-dashboard | 2980dfc44f11400c75a1113e468f50e7c6d6396c | [
"Apache-2.0"
] | 9 | 2015-07-09T02:15:05.000Z | 2021-06-14T09:25:15.000Z | # Copyright 2015 Huawei Technologies Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 33.8 | 75 | 0.573206 | # Copyright 2015 Huawei Technologies Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 0 | 0 | 0 | 5,707 | 0 | 0 | 0 | 65 | 227 |
19f278dd7535c00bc9ebe8e0e1741188feae5439 | 6,695 | py | Python | build_dataset.py | asyrovprog/cs230project | cc9aebe256393b39140f69a2f31d1e9688c1e3d4 | [
"MIT"
] | 1 | 2021-04-28T08:29:28.000Z | 2021-04-28T08:29:28.000Z | build_dataset.py | asyrovprog/cs230project | cc9aebe256393b39140f69a2f31d1e9688c1e3d4 | [
"MIT"
] | null | null | null | build_dataset.py | asyrovprog/cs230project | cc9aebe256393b39140f69a2f31d1e9688c1e3d4 | [
"MIT"
] | 1 | 2021-01-27T21:52:07.000Z | 2021-01-27T21:52:07.000Z | """Split the Urban 3D dataset into train/dev/test and splits each image to 256x256 sub-tiles.
Original images have size (2048, 2048).
We do not resize images, but split them into smaller images i.e. each input image divided into 64 256x256 images
"""
import argparse
import os
from pathlib import Path
import glob
imp... | 37.824859 | 167 | 0.6823 | """Split the Urban 3D dataset into train/dev/test and splits each image to 256x256 sub-tiles.
Original images have size (2048, 2048).
We do not resize images, but split them into smaller images i.e. each input image divided into 64 256x256 images
"""
import argparse
import os
from pathlib import Path
import skimage.... | 0 | 0 | 0 | 0 | 329 | 2,910 | 0 | 22 | 295 |
2054415a49aef01461c7d34aa9921526cd007ccf | 1,767 | py | Python | Applications/RussianAlphabet/russian.py | abefrandsen/numerical_computing | 90559f7c4f387885eb44ea7b1fa19bb602f496cb | [
"CC-BY-3.0"
] | null | null | null | Applications/RussianAlphabet/russian.py | abefrandsen/numerical_computing | 90559f7c4f387885eb44ea7b1fa19bb602f496cb | [
"CC-BY-3.0"
] | null | null | null | Applications/RussianAlphabet/russian.py | abefrandsen/numerical_computing | 90559f7c4f387885eb44ea7b1fa19bb602f496cb | [
"CC-BY-3.0"
] | 1 | 2020-12-08T01:19:23.000Z | 2020-12-08T01:19:23.000Z | import unicodedata
import sys
tbl = dict.fromkeys(i for i in xrange(sys.maxunicode)
if unicodedata.category(unichr(i)).startswith('P'))
def uniq(listinput):
""" This finds the unique elements of the list listinput. """
""" This will be provided for the student. """
output = []
for x in listi... | 28.967213 | 88 | 0.722694 | import unicodedata
import codecs
import sys
import scipy as sp
import hmm
tbl = dict.fromkeys(i for i in xrange(sys.maxunicode)
if unicodedata.category(unichr(i)).startswith('P'))
def uniq(listinput):
""" This finds the unique elements of the list listinput. """
""" This will be provided for t... | 0 | 0 | 0 | 0 | 0 | 1,202 | 0 | -22 | 204 |
e8c31869fab6d27bcdc5c8f62d3992e1c767f425 | 1,052 | py | Python | song_classifier/reflection.py | tonywu7/nyu-nlp-spring21-final | 1ace33dc2b9b6deef7f73c0d347dc6b5c74bd304 | [
"Apache-2.0"
] | null | null | null | song_classifier/reflection.py | tonywu7/nyu-nlp-spring21-final | 1ace33dc2b9b6deef7f73c0d347dc6b5c74bd304 | [
"Apache-2.0"
] | null | null | null | song_classifier/reflection.py | tonywu7/nyu-nlp-spring21-final | 1ace33dc2b9b6deef7f73c0d347dc6b5c74bd304 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Tony Wu +https://github.com/tonywu7/
#
# 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 ... | 36.275862 | 87 | 0.739544 | # Copyright 2021 Tony Wu +https://github.com/tonywu7/
#
# 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 ... | 0 | 0 | 0 | 0 | 0 | 323 | 0 | 36 | 92 |
0fbd334600607aabad74ee93b3e4426a3cb8ef45 | 8,344 | py | Python | mro/stages/analyzer/run_graph_clustering/__init__.py | qiangli/cellranger | 046e24c3275cfbd4516a6ebc064594513a5c45b7 | [
"MIT"
] | 1 | 2019-03-29T04:05:58.000Z | 2019-03-29T04:05:58.000Z | mro/stages/analyzer/run_graph_clustering/__init__.py | qiangli/cellranger | 046e24c3275cfbd4516a6ebc064594513a5c45b7 | [
"MIT"
] | null | null | null | mro/stages/analyzer/run_graph_clustering/__init__.py | qiangli/cellranger | 046e24c3275cfbd4516a6ebc064594513a5c45b7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (c) 2017 10X Genomics, Inc. All rights reserved.
#
import cellranger.h5_constants as h5_constants
__MRO__ = """
stage RUN_GRAPH_CLUSTERING(
in h5 matrix_h5,
in h5 pca_h5,
in int num_neighbors "Use this many neighbors",
in float neighbor_a ... | 38.275229 | 131 | 0.691275 | #!/usr/bin/env python
#
# Copyright (c) 2017 10X Genomics, Inc. All rights reserved.
#
import martian
import numpy as np
import sys
import cellranger.analysis.clustering as cr_clustering
import cellranger.analysis.graphclust as cr_graphclust
import cellranger.analysis.io as analysis_io
from cellranger.analysis.singlege... | 0 | 0 | 0 | 0 | 0 | 6,320 | 0 | 174 | 288 |
f5aeb1ef93a80b4d2f5780d60d6e9d527455fa80 | 475 | py | Python | dimetric.py | BastiHz/dimetric | 98feaca01bae8ca3e5019fc3722963843584b8c9 | [
"Apache-2.0"
] | null | null | null | dimetric.py | BastiHz/dimetric | 98feaca01bae8ca3e5019fc3722963843584b8c9 | [
"Apache-2.0"
] | 5 | 2020-08-17T17:39:40.000Z | 2020-10-03T12:00:04.000Z | dimetric.py | BastiHz/dimetric | 98feaca01bae8ca3e5019fc3722963843584b8c9 | [
"Apache-2.0"
] | null | null | null | import os
import logging
logging.basicConfig(
filename=".last_run.log",
filemode="w",
format="%(asctime)s %(levelname)s: %(message)s",
level=logging.DEBUG
)
# Must be done before importing Pygame:
os.environ["PYGAME_HIDE_SUPPORT_PROMPT"] = "1"
os.environ["SDL_VIDEO_CENTERED"] = "1"
from src.game imp... | 19.791667 | 52 | 0.675789 | import os
import logging
logging.basicConfig(
filename=".last_run.log",
filemode="w",
format="%(asctime)s %(levelname)s: %(message)s",
level=logging.DEBUG
)
# Must be done before importing Pygame:
os.environ["PYGAME_HIDE_SUPPORT_PROMPT"] = "1"
os.environ["SDL_VIDEO_CENTERED"] = "1"
from src.game imp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
db3f35a2d1974ac6742727acfccf74a1839e665d | 600 | py | Python | apyce/io/__init__.py | mateustosta/apyce-project | 5e2b82f3e74eb5a922146b796a12994d08a0f744 | [
"BSD-3-Clause"
] | 4 | 2021-04-02T04:12:27.000Z | 2021-08-21T01:50:32.000Z | apyce/io/__init__.py | mateustosta/apyce-repo | 5e2b82f3e74eb5a922146b796a12994d08a0f744 | [
"BSD-3-Clause"
] | null | null | null | apyce/io/__init__.py | mateustosta/apyce-repo | 5e2b82f3e74eb5a922146b796a12994d08a0f744 | [
"BSD-3-Clause"
] | null | null | null | r"""
**apyce.io**
----
This module contains functionality for exporting data to VTK
----
+----------------+------------------------------------------------------------+
| Format | Description |
+================+================================================... | 30 | 79 | 0.268333 | r"""
**apyce.io**
----
This module contains functionality for exporting data to VTK
----
+----------------+------------------------------------------------------------+
| Format | Description |
+================+================================================... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 23 |
99463c982945df97a5194918e45b17a17224a910 | 4,184 | py | Python | docx_to_json.py | CamzBarber/CameronBarber.com | 0c07643e249a9d3361eede5c45a9dc5b008b6f8e | [
"MIT"
] | 1 | 2018-09-23T15:59:58.000Z | 2018-09-23T15:59:58.000Z | docx_to_json.py | CamzBarber/CameronBarber.com | 0c07643e249a9d3361eede5c45a9dc5b008b6f8e | [
"MIT"
] | null | null | null | docx_to_json.py | CamzBarber/CameronBarber.com | 0c07643e249a9d3361eede5c45a9dc5b008b6f8e | [
"MIT"
] | null | null | null | import docx
import json
import pyperclip
# Concatenate role/company for keys below.
# Order: URL, img, skills list
# Read bullet points to check for skills.
extra_info = {
"IT Associate [Placement]PwC": [
"http://www.pwc.com/",
"img/experience/pwc.jpeg",
["Python", "HTML5", "CSS3", "Bootst... | 30.540146 | 284 | 0.508365 | import docx
import json
import pyperclip
# Concatenate role/company for keys below.
# Order: URL, img, skills list
# Read bullet points to check for skills.
extra_info = {
"IT Associate [Placement]PwC": [
"http://www.pwc.com/",
"img/experience/pwc.jpeg",
["Python", "HTML5", "CSS3", "Bootst... | 0 | 0 | 0 | 0 | 0 | 2,359 | 0 | 0 | 69 |
1448618a7b232dc43f18763973df4b308abeedc0 | 457 | py | Python | users/migrations/0002_auto_20190704_1433.py | juliolugo96/projex-api | 4bf12ce3ab228e43e7aa1b3d2d8972c1e4733a89 | [
"MIT"
] | 1 | 2019-05-31T04:40:09.000Z | 2019-05-31T04:40:09.000Z | users/migrations/0002_auto_20190704_1433.py | juliolugo96/projex-api | 4bf12ce3ab228e43e7aa1b3d2d8972c1e4733a89 | [
"MIT"
] | 4 | 2020-06-05T20:41:34.000Z | 2021-09-08T00:58:10.000Z | users/migrations/0002_auto_20190704_1433.py | juliolugo96/projex-api | 4bf12ce3ab228e43e7aa1b3d2d8972c1e4733a89 | [
"MIT"
] | 3 | 2019-05-31T04:40:04.000Z | 2020-02-08T21:54:23.000Z | # Generated by Django 2.1.7 on 2019-07-04 14:33
| 22.85 | 103 | 0.636761 | # Generated by Django 2.1.7 on 2019-07-04 14:33
from django.db import migrations, models
import users.models
class Migration(migrations.Migration):
dependencies = [
('users', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='customuser',
name='... | 0 | 0 | 0 | 323 | 0 | 0 | 0 | 17 | 68 |
fe4976fec9b26ca0009bde09fe3e99f18fe048ee | 1,169 | py | Python | src/artifactcli/operation/__init__.py | arcizan/artifact-cli | 1b4ddcd8bb3c32899fa385eefd128829c8cdd6e5 | [
"Apache-2.0"
] | 10 | 2015-01-11T14:43:57.000Z | 2020-05-08T06:18:30.000Z | src/artifactcli/operation/__init__.py | arcizan/artifact-cli | 1b4ddcd8bb3c32899fa385eefd128829c8cdd6e5 | [
"Apache-2.0"
] | 34 | 2015-01-04T17:37:54.000Z | 2019-11-11T17:11:24.000Z | src/artifactcli/operation/__init__.py | arcizan/artifact-cli | 1b4ddcd8bb3c32899fa385eefd128829c8cdd6e5 | [
"Apache-2.0"
] | 4 | 2015-01-11T07:05:33.000Z | 2021-11-17T04:26:32.000Z | __all__ = [
'HelpOperation',
'ListOperation',
'UploadOperation',
'DownloadOperation',
'InfoOperation',
'DeleteOperation',
]
from .help import HelpOperation
from .list import ListOperation
from .upload import UploadOperation
from .download import DownloadOperation
from .info import InfoOperation
... | 32.472222 | 87 | 0.696322 | __all__ = [
'HelpOperation',
'ListOperation',
'UploadOperation',
'DownloadOperation',
'InfoOperation',
'DeleteOperation',
]
from .help import HelpOperation
from .list import ListOperation
from .upload import UploadOperation
from .download import DownloadOperation
from .info import InfoOperation
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d94ac4c6a13dd5a87253bfb2d54a02964371911a | 3,169 | py | Python | torchlib/generative_model/autoencoder/aae/utils.py | vermouth1992/torchlib | 63b2bedb40f670b2d9fbfc0daeab4a8d44623095 | [
"MIT"
] | 3 | 2019-07-23T21:32:36.000Z | 2022-02-04T23:13:30.000Z | torchlib/generative_model/autoencoder/aae/utils.py | vermouth1992/torchlib | 63b2bedb40f670b2d9fbfc0daeab4a8d44623095 | [
"MIT"
] | null | null | null | torchlib/generative_model/autoencoder/aae/utils.py | vermouth1992/torchlib | 63b2bedb40f670b2d9fbfc0daeab4a8d44623095 | [
"MIT"
] | 1 | 2019-07-23T21:32:23.000Z | 2019-07-23T21:32:23.000Z | """
Utilities for AAE
"""
| 32.670103 | 84 | 0.584727 | """
Utilities for AAE
"""
import torch
from sklearn.manifold import TSNE
from sklearn.decomposition import PCA
from visdom import Visdom
from ....common import FloatTensor
class SampleImage(object):
""" Make a grid and plot a class of image on one row """
def __init__(self, n_row, n_col):
self.n_row... | 0 | 0 | 0 | 2,924 | 0 | 0 | 0 | 36 | 181 |
e3e29ab1ac785703839dbf6155470f174571a37d | 7,740 | py | Python | configs/fisheye_pig/mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_all_pig_head_and_hip.py | leemengwei/my_mmdetection | be90a1da8b16154db5ad6847c2bc4b0545feece0 | [
"Apache-2.0"
] | 1 | 2021-09-07T13:05:38.000Z | 2021-09-07T13:05:38.000Z | configs/fisheye_pig/mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_all_pig_head_and_hip.py | leemengwei/my_mmdetection | be90a1da8b16154db5ad6847c2bc4b0545feece0 | [
"Apache-2.0"
] | null | null | null | configs/fisheye_pig/mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_all_pig_head_and_hip.py | leemengwei/my_mmdetection | be90a1da8b16154db5ad6847c2bc4b0545feece0 | [
"Apache-2.0"
] | null | null | null | _base_ = '../mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py'
# We also need to change the num_classes in head to match the dataset's annotation
classes=('pig', 'person', 'pig_head', 'pig_hip') # pig person pigpig (pigdormpigmask)
model = dict(
roi_head=dict(
bbox_head=dict(num_classes=... | 36.857143 | 130 | 0.528295 | _base_ = '../mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py'
# We also need to change the num_classes in head to match the dataset's annotation
classes=('pig', 'person', 'pig_head', 'pig_hip') # pig person 类分了也没法用，肯定不如专门分pig的分的准，所以不用这个的pig (目前pig类不能用，因为dorm中的pig在mask里)
model = dict(
roi_head=di... | 186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
462351cf8874c79566eacf27e49fc93d3ee8cb1c | 2,198 | py | Python | src/code_submission/2_pasanju/models/nas_autograph_b.py | NehzUx/AutoGraph-KDDCup2020 | d2fc228f4ccc5785db3129cca0445a80b6fef11d | [
"MIT"
] | 1 | 2021-12-06T14:59:55.000Z | 2021-12-06T14:59:55.000Z | src/code_submission/2_pasanju/models/nas_autograph_b.py | NehzUx/AutoGraph-Benchmark | d2fc228f4ccc5785db3129cca0445a80b6fef11d | [
"MIT"
] | null | null | null | src/code_submission/2_pasanju/models/nas_autograph_b.py | NehzUx/AutoGraph-Benchmark | d2fc228f4ccc5785db3129cca0445a80b6fef11d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by HazzaCheng on 2020-05-11
| 37.896552 | 111 | 0.656961 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by HazzaCheng on 2020-05-11
import torch
import torch.nn.functional as F
from torch import nn
from torch_geometric.nn import GATConv, ARMAConv, SAGEConv
class NasAutoGraphB(nn.Module):
def __init__(self, features_num, num_class, num_layers=2, dropout=0.5, h... | 0 | 50 | 0 | 1,890 | 0 | 0 | 0 | 37 | 135 |
ccae83714ad7cc962eb063c91b0e06cccee3c2c9 | 1,230 | py | Python | predict.py | schuangs/Satellite-Orbit-Prediction | 48df4814802a481fc54a3691c4a756ec1c224477 | [
"MIT"
] | 1 | 2022-03-17T08:16:29.000Z | 2022-03-17T08:16:29.000Z | predict.py | schuangs/Satellite-Orbit-Prediction | 48df4814802a481fc54a3691c4a756ec1c224477 | [
"MIT"
] | null | null | null | predict.py | schuangs/Satellite-Orbit-Prediction | 48df4814802a481fc54a3691c4a756ec1c224477 | [
"MIT"
] | null | null | null | # Functions for orbit prediction
#
# function predict:
# input:
# elements - elements of satellite orbit, defined in model.py
# ts - array of time points
# flag - whether to consider perturbation
# return:
# list of elements at each predict point
#
... | 28.604651 | 146 | 0.617886 | # Functions for orbit prediction
import model
import perturbation
import transform
import numpy as np
from scipy.integrate import solve_ivp
#
# function predict:
# input:
# elements - elements of satellite orbit, defined in model.py
# ts - array of time points
# ... | 0 | 0 | 0 | 0 | 0 | 527 | 0 | -3 | 164 |
8199649f46973979751ba0334875b0faa2f586ef | 2,614 | py | Python | labs/ai-edge/vision/ocr/code/ocr.py | chagen24/iot-curriculum | 32c4cfe6a24d63e10d2f3f8ca5bcd32d6d84652d | [
"CC-BY-4.0",
"MIT"
] | 126 | 2020-07-15T02:46:53.000Z | 2022-03-20T06:11:47.000Z | labs/ai-edge/vision/ocr/code/ocr.py | toolboc/iot-curriculum | ca7e6a62f8d5367708b9b397bb8a3f87e7562f50 | [
"CC-BY-4.0",
"MIT"
] | 33 | 2020-08-31T21:59:16.000Z | 2021-06-27T15:42:59.000Z | labs/ai-edge/vision/ocr/code/ocr.py | toolboc/iot-curriculum | ca7e6a62f8d5367708b9b397bb8a3f87e7562f50 | [
"CC-BY-4.0",
"MIT"
] | 48 | 2020-07-14T19:13:06.000Z | 2022-03-01T08:55:49.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import os
from azure.cognitiveservices.vision import computervision
from msrest import authentication
from dotenv import load_dotenv
# Load the API key and endpoint from the .env file
load_dotenv()
API_KEY = os.getenv('API_KEY')
ENDPOINT = os.ge... | 33.512821 | 82 | 0.734124 | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import os
from azure.cognitiveservices.vision import computervision
from msrest import authentication
from dotenv import load_dotenv
# Load the API key and endpoint from the .env file
load_dotenv()
API_KEY = os.getenv('API_KEY')
ENDPOINT = os.ge... | 0 | 0 | 0 | 0 | 0 | 616 | 0 | 0 | 48 |
c8028064d6ca70da5a988c29c3b6250c204abb83 | 722 | py | Python | skylantern/utils/util.py | chzhong25346/Skylantern | b199d9fa890c3a4a35e28b0e8089e1d97a351500 | [
"Apache-2.0"
] | null | null | null | skylantern/utils/util.py | chzhong25346/Skylantern | b199d9fa890c3a4a35e28b0e8089e1d97a351500 | [
"Apache-2.0"
] | 2 | 2021-03-31T20:03:41.000Z | 2021-12-13T20:45:29.000Z | skylantern/utils/util.py | chzhong25346/Skylantern | b199d9fa890c3a4a35e28b0e8089e1d97a351500 | [
"Apache-2.0"
] | null | null | null | import logging
logger = logging.getLogger('main.util')
| 23.290323 | 72 | 0.608033 | import hashlib
import logging
import re
logger = logging.getLogger('main.util')
def gen_id(string):
return int(hashlib.md5(str.encode(string)).hexdigest(), 16)
def groupby_na_to_zero(df, ticker):
df = df.groupby(ticker).first()
df.fillna(0, inplace=True)
return df
def missing_ticker(index):
... | 0 | 0 | 0 | 0 | 0 | 568 | 0 | -19 | 113 |
868cdbc6cc7cf0c2b01886ee5ef1a5f76118b107 | 5,447 | py | Python | IoT course/addition/algorithms/data_generator.py | SunnyientDev/kaggle_contests | f682bf33c0155d872913d9a0db99ba819745bc11 | [
"MIT"
] | 1 | 2021-08-19T18:55:07.000Z | 2021-08-19T18:55:07.000Z | IoT course/addition/algorithms/data_generator.py | SunnyientDev/kaggle_contests | f682bf33c0155d872913d9a0db99ba819745bc11 | [
"MIT"
] | null | null | null | IoT course/addition/algorithms/data_generator.py | SunnyientDev/kaggle_contests | f682bf33c0155d872913d9a0db99ba819745bc11 | [
"MIT"
] | null | null | null | '''
This code works as simulator.
Main values: brightness, time, date, temperature, humidity.
Users values: message.
'''
import datetime
################################## PLANT SETTINGS ##################################
plant_last_watering_day = "2021-01-12"
plant_watering_range_days = 7
plant_temperature = [20, 25... | 40.051471 | 201 | 0.631173 | '''
This code works as simulator.
Main values: brightness, time, date, temperature, humidity.
Users values: message.
'''
import datetime
from datetime import datetime
import random
################################## PLANT SETTINGS ##################################
plant_last_watering_day = "2021-01-12"
plant_waterin... | 192 | 0 | 0 | 0 | 0 | 4,300 | 0 | 0 | 224 |
13b66fc7309a1607362996695589538dbea15b3d | 10,654 | py | Python | tests/conftest.py | elastic-coders/aiopg | 1e1a06eb63d093b14125d51e3444c135aaf15679 | [
"BSD-2-Clause"
] | null | null | null | tests/conftest.py | elastic-coders/aiopg | 1e1a06eb63d093b14125d51e3444c135aaf15679 | [
"BSD-2-Clause"
] | null | null | null | tests/conftest.py | elastic-coders/aiopg | 1e1a06eb63d093b14125d51e3444c135aaf15679 | [
"BSD-2-Clause"
] | 1 | 2021-02-09T10:08:33.000Z | 2021-02-09T10:08:33.000Z | import collections
_LoggingWatcher = collections.namedtuple("_LoggingWatcher",
["records", "output"])
| 28.872629 | 76 | 0.612915 | import asyncio
import collections
import gc
import logging
import psycopg2
import pytest
import re
import socket
import sys
import time
import uuid
import warnings
from docker import Client as DockerClient
import aiopg
from aiopg import sa
@pytest.fixture(scope='session')
def unused_port():
def f():
wit... | 0 | 4,611 | 0 | 4,294 | 0 | 877 | 0 | -87 | 793 |
7b6bde1e004368c2c31024dd5f4761b9e5b438c4 | 139 | py | Python | airbyte-integrations/connectors/destination-hadoop/destination_hadoop/__init__.py | jaynyoni/localAirbyte | efd7a52d6c5b1cdbac9801cf8a4e20b4f07aa3b6 | [
"MIT"
] | null | null | null | airbyte-integrations/connectors/destination-hadoop/destination_hadoop/__init__.py | jaynyoni/localAirbyte | efd7a52d6c5b1cdbac9801cf8a4e20b4f07aa3b6 | [
"MIT"
] | null | null | null | airbyte-integrations/connectors/destination-hadoop/destination_hadoop/__init__.py | jaynyoni/localAirbyte | efd7a52d6c5b1cdbac9801cf8a4e20b4f07aa3b6 | [
"MIT"
] | null | null | null | #
# Copyright (c) 2021 Airbyte, Inc., all rights reserved.
#
from .destination import DestinationHadoop
__all__ = ["DestinationHadoop"]
| 15.444444 | 56 | 0.741007 | #
# Copyright (c) 2021 Airbyte, Inc., all rights reserved.
#
from .destination import DestinationHadoop
__all__ = ["DestinationHadoop"]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
602253f90741cbb64b075a23d837cda11ae2925e | 1,492 | py | Python | 6_3_InceptionNet_Visualization.py | matiji66/car_light_dection | 75effbe7835473700d6617b3a407edee0a011135 | [
"Apache-2.0"
] | null | null | null | 6_3_InceptionNet_Visualization.py | matiji66/car_light_dection | 75effbe7835473700d6617b3a407edee0a011135 | [
"Apache-2.0"
] | null | null | null | 6_3_InceptionNet_Visualization.py | matiji66/car_light_dection | 75effbe7835473700d6617b3a407edee0a011135 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @author:Spring
import tensorflow as tf
import os
import tarfile
import requests
inception_pretrain_model_url = 'http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz'
# inception pretrain
inception_pretrain_model_dir = "inception_pretrain"
if not... | 32.434783 | 110 | 0.737936 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @author:Spring
import tensorflow as tf
import os
import tarfile
import requests
inception_pretrain_model_url = 'http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz'
# 下载inception pretrain模型
inception_pretrain_model_dir = "inception_pretrain"
if... | 60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5b645ed91fdb69e6e8458c66f65224088dca4981 | 7,311 | py | Python | src/auth/auth_ldap.py | kbza/script-server | ad37a5c7e904ba1c466edebf8e409c6ae2710135 | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | src/auth/auth_ldap.py | kbza/script-server | ad37a5c7e904ba1c466edebf8e409c6ae2710135 | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | src/auth/auth_ldap.py | kbza/script-server | ad37a5c7e904ba1c466edebf8e409c6ae2710135 | [
"Apache-2.0",
"CC0-1.0"
] | 1 | 2020-04-28T14:50:28.000Z | 2020-04-28T14:50:28.000Z | import logging
KNOWN_REJECTIONS = [
"invalidCredentials",
"user name is mandatory in simple bind",
"password is mandatory in simple bind"]
LOGGER = logging.getLogger('script_server.LdapAuthorizer')
| 32.065789 | 111 | 0.623444 | import json
import logging
import os
from string import Template
from ldap3 import Connection, SIMPLE
from ldap3.core.exceptions import LDAPAttributeError
from auth import auth_base
from model import model_helper
from utils import file_utils
from utils.string_utils import strip
KNOWN_REJECTIONS = [
"invalidCrede... | 0 | 0 | 0 | 5,398 | 0 | 1,315 | 0 | 66 | 315 |
0787203a3df45e02ff149e475813576a32ca9ab2 | 796 | py | Python | v1/validators/migrations/0002_auto_20201126_0016.py | nishp77/Validator | 77888fc95db1c69a8a734a6d4eded5fe539ac0b6 | [
"MIT"
] | 43 | 2020-07-12T23:08:35.000Z | 2021-11-28T00:50:49.000Z | v1/validators/migrations/0002_auto_20201126_0016.py | nishp77/Validator | 77888fc95db1c69a8a734a6d4eded5fe539ac0b6 | [
"MIT"
] | 72 | 2020-07-15T02:33:15.000Z | 2021-10-04T20:52:13.000Z | v1/validators/migrations/0002_auto_20201126_0016.py | nishp77/Validator | 77888fc95db1c69a8a734a6d4eded5fe539ac0b6 | [
"MIT"
] | 43 | 2020-07-13T08:14:24.000Z | 2021-10-04T17:33:26.000Z | # Generated by Django 3.1.3 on 2020-11-26 00:16
| 29.481481 | 140 | 0.61809 | # Generated by Django 3.1.3 on 2020-11-26 00:16
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('validators', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='validator',
name='ip_address',
... | 0 | 0 | 0 | 682 | 0 | 0 | 0 | 19 | 46 |
8fb522f92d1c45c0f54616c4dafb7b45a145a79d | 317 | py | Python | old-stuff/python-exercises/country_test2.py | bleekere/eScience2022 | be58ab45a75e26551f5409d5afe407e60b1989b1 | [
"CC0-1.0"
] | null | null | null | old-stuff/python-exercises/country_test2.py | bleekere/eScience2022 | be58ab45a75e26551f5409d5afe407e60b1989b1 | [
"CC0-1.0"
] | null | null | null | old-stuff/python-exercises/country_test2.py | bleekere/eScience2022 | be58ab45a75e26551f5409d5afe407e60b1989b1 | [
"CC0-1.0"
] | null | null | null | from finding_parents_method import finding_parents
# import lxml library
from lxml import etree as ElementTree
# genereer data voor input later
file = open('country_data.xml')
data = file.read()
tree = ElementTree.fromstring(data)
rank = tree.xpath('.//rank')[0]
parents = finding_parents(rank)
print(parents)
| 17.611111 | 50 | 0.763407 | from finding_parents_method import finding_parents
# import lxml library
from lxml import etree as ElementTree
# genereer data voor input later
file = open('country_data.xml')
data = file.read()
tree = ElementTree.fromstring(data)
rank = tree.xpath('.//rank')[0]
parents = finding_parents(rank)
print(parents)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6fbe1cdf00e8e7a71160e04af88c39b38e6791f0 | 69,336 | py | Python | sdk/python/pulumi_keycloak/oidc/google_identity_provider.py | davide-talesco/pulumi-keycloak | 08d66be6f2bf578d4292e29eb6181794375bc4e5 | [
"ECL-2.0",
"Apache-2.0"
] | 13 | 2020-04-28T15:20:56.000Z | 2022-03-24T18:00:17.000Z | sdk/python/pulumi_keycloak/oidc/google_identity_provider.py | davide-talesco/pulumi-keycloak | 08d66be6f2bf578d4292e29eb6181794375bc4e5 | [
"ECL-2.0",
"Apache-2.0"
] | 49 | 2020-02-06T17:53:35.000Z | 2022-03-25T19:36:08.000Z | sdk/python/pulumi_keycloak/oidc/google_identity_provider.py | davide-talesco/pulumi-keycloak | 08d66be6f2bf578d4292e29eb6181794375bc4e5 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2020-06-09T01:08:56.000Z | 2021-12-07T15:30:37.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
from .. import _utilities
__all__ = ['GoogleIdentityProviderArgs', 'GoogleIdentityProvider']
| 54.897862 | 302 | 0.685041 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 0 | 63,059 | 0 | 5,805 | 0 | 0 | 0 | 41 | 136 |
75d30d6a94aff4ecbd33f63600c4eb532eb07885 | 1,751 | py | Python | detectron2/distiller_zoo/test.py | lijingyao20010602/Dilation-FasterRCNN | fb1f2f0ab336a65604c4d520cca61995b42fb1a6 | [
"Apache-2.0"
] | 1 | 2021-11-07T11:30:57.000Z | 2021-11-07T11:30:57.000Z | detectron2/distiller_zoo/test.py | lijingyao20010602/Dilation-FasterRCNN | fb1f2f0ab336a65604c4d520cca61995b42fb1a6 | [
"Apache-2.0"
] | null | null | null | detectron2/distiller_zoo/test.py | lijingyao20010602/Dilation-FasterRCNN | fb1f2f0ab336a65604c4d520cca61995b42fb1a6 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import torch
import torch.nn as nn
student = torch.tensor([[0,1,2],[2,3,4],[2,3,5]], dtype=torch.float)
teacher = torch.tensor([[1,2,2],[3,4,5],[3,4,0]], dtype=torch.float)
student2 = torch.tensor([[[0,1],[0,3]]], dtype=torch.float)
teacher2 = torch.tensor([[[1,2],[4,3]]], dtype... | 39.795455 | 106 | 0.714449 | from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
import pdb
def cosine_similarity_loss(output_net, target_net, eps=0.0000001):
# Normalize each vector by its norm
output_net_norm = torch.sqrt(torch.sum(output_net ** 2, dim=1, keepdim=True))
output_n... | 0 | 0 | 0 | 0 | 0 | 1,221 | 0 | -1 | 67 |
628cd1cf84b9aa86b82bce5441be277aeb25b435 | 2,191 | py | Python | src/smart_compose/run_smart_compose.py | StarWang/detext | 66f071ec2cebf5e54e7d1de40936b5f281c2a69b | [
"BSD-2-Clause"
] | 1,229 | 2020-02-07T22:17:47.000Z | 2022-03-26T06:56:52.000Z | src/smart_compose/run_smart_compose.py | StarWang/detext | 66f071ec2cebf5e54e7d1de40936b5f281c2a69b | [
"BSD-2-Clause"
] | 36 | 2020-04-10T02:00:20.000Z | 2022-02-09T06:52:35.000Z | src/smart_compose/run_smart_compose.py | StarWang/detext | 66f071ec2cebf5e54e7d1de40936b5f281c2a69b | [
"BSD-2-Clause"
] | 142 | 2020-04-07T01:04:07.000Z | 2022-03-31T16:22:20.000Z | import sys
import tempfile
from dataclasses import asdict
import tensorflow as tf
from absl import logging
from official.utils.misc import distribution_utils
from smart_compose.args import SmartComposeArg
from smart_compose.train import train
from smart_compose.utils import distributed_utils, parsing_utils
def main... | 31.3 | 155 | 0.721132 | import sys
import tempfile
from dataclasses import asdict
import tensorflow as tf
from absl import logging
from official.utils.misc import distribution_utils
from smart_compose.args import SmartComposeArg
from smart_compose.train import train
from smart_compose.utils import distributed_utils, parsing_utils
def main... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
da7d73888f2d1d5596bff3cb443d6daa490ff550 | 1,301 | py | Python | ctxdec/ctx.py | tebeka/pythonwise | 56f8cb7aa792c3ad6a3dc754e15f6a04890d694a | [
"BSD-3-Clause"
] | 21 | 2016-11-16T20:08:56.000Z | 2021-12-11T23:13:05.000Z | ctxdec/ctx.py | tebeka/pythonwise | 56f8cb7aa792c3ad6a3dc754e15f6a04890d694a | [
"BSD-3-Clause"
] | 1 | 2020-10-05T08:35:31.000Z | 2020-10-05T08:35:31.000Z | ctxdec/ctx.py | tebeka/pythonwise | 56f8cb7aa792c3ad6a3dc754e15f6a04890d694a | [
"BSD-3-Clause"
] | 8 | 2016-11-12T22:54:55.000Z | 2021-02-10T10:46:23.000Z | ## Greeter
## timed_block
## Closer
## Database
## contextlib
| 19.41791 | 63 | 0.599539 | ## Greeter
class greeter(object):
def __enter__(self):
print('Hai')
def __exit__(self, exc_type, exc_value, traceback):
print('Bai')
## timed_block
from time import time
class timed_block(object):
def __init__(self, name):
self.name = name
def __enter__(self):
self.... | 0 | 140 | 0 | 917 | 0 | 0 | 0 | 16 | 156 |
8acd0b665b53712ee677bc1809daea30359ef3c9 | 1,905 | py | Python | utils/nn_utils.py | fpthink/PDGN | e2f7c26a74069868231b4fefdb90db1386590809 | [
"MIT"
] | 21 | 2020-07-13T03:14:21.000Z | 2022-03-15T20:14:42.000Z | utils/nn_utils.py | fpthink/PDGN | e2f7c26a74069868231b4fefdb90db1386590809 | [
"MIT"
] | 2 | 2020-08-08T12:18:14.000Z | 2022-03-21T12:59:10.000Z | utils/nn_utils.py | fpthink/PDGN | e2f7c26a74069868231b4fefdb90db1386590809 | [
"MIT"
] | 5 | 2020-09-14T09:37:04.000Z | 2021-09-15T08:35:54.000Z | import sklearn
import torch.nn as nn
| 25.4 | 61 | 0.543832 | import math
import sklearn
import torch
import torch.nn as nn
from torch.nn.parameter import Parameter
from torch.autograd import Variable
import torch.nn.functional as F
import sklearn.metrics
class fcbr(nn.Module):
""" fc-bn-relu
[B, Fin] -> [B, Fout]
"""
def __init__(self, Fin, Fout):
super... | 0 | 0 | 0 | 1,618 | 0 | 0 | 0 | 25 | 225 |
29cba6f36a73c1084ee342ce8960ff548cee2cc2 | 5,178 | py | Python | scripts/eval_cityscapes.py | dr-benway/RevGAN | fcaf4f837a58f20f787e442914d68194325c2ca6 | [
"BSD-3-Clause"
] | 1 | 2019-03-20T10:37:24.000Z | 2019-03-20T10:37:24.000Z | scripts/eval_cityscapes.py | dr-benway/RevGAN | fcaf4f837a58f20f787e442914d68194325c2ca6 | [
"BSD-3-Clause"
] | null | null | null | scripts/eval_cityscapes.py | dr-benway/RevGAN | fcaf4f837a58f20f787e442914d68194325c2ca6 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from PIL import Image
import os
import argparse
import scipy
from sklearn.metrics import confusion_matrix
import caffe
parser = argparse.ArgumentParser()
parser.add_argument("--result_dir", type=str, required=True, help="Path to the generated images to be evaluated")
parser.add_argument("--vers... | 36.20979 | 127 | 0.645616 | import numpy as np
from PIL import Image
import os, sys
import argparse
from sklearn.metrics import mean_absolute_error as compare_mae
from skimage.measure import compare_psnr
from skimage.measure import compare_ssim
from labels import labels
import scipy, skimage
from scipy.spatial import KDTree
from sklearn.metric... | 0 | 0 | 0 | 0 | 0 | 1,145 | 0 | 105 | 256 |
e8f34adf12d491826259e2222f4c1bc90ac0f315 | 5,336 | py | Python | cafe/drivers/unittest/suite_builder.py | rcbops-qa/opencafe | 4e6d99ce763fd28289cd35cbd56ca5722824f89e | [
"Apache-2.0"
] | null | null | null | cafe/drivers/unittest/suite_builder.py | rcbops-qa/opencafe | 4e6d99ce763fd28289cd35cbd56ca5722824f89e | [
"Apache-2.0"
] | null | null | null | cafe/drivers/unittest/suite_builder.py | rcbops-qa/opencafe | 4e6d99ce763fd28289cd35cbd56ca5722824f89e | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 Rackspace
# 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, sof... | 38.388489 | 79 | 0.605697 | # Copyright 2015 Rackspace
# 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, sof... | 0 | 443 | 0 | 3,966 | 0 | 0 | 0 | 114 | 201 |
6893dd14fd692112798e40d198652cfd76d734e0 | 3,626 | py | Python | scripts/self_intersections.py | fscottfoti/cutting_board | fda64472fa434d217334f5aaead0c799870672ce | [
"BSD-3-Clause"
] | null | null | null | scripts/self_intersections.py | fscottfoti/cutting_board | fda64472fa434d217334f5aaead0c799870672ce | [
"BSD-3-Clause"
] | null | null | null | scripts/self_intersections.py | fscottfoti/cutting_board | fda64472fa434d217334f5aaead0c799870672ce | [
"BSD-3-Clause"
] | 1 | 2019-12-27T15:28:17.000Z | 2019-12-27T15:28:17.000Z | import geopandas as gpd
import pandas as pd
import numpy as np
import shared
import sys
from shapely.geometry import Polygon
args = sys.argv[1:]
prefix = args[0] + "_" if len(args) else ""
parcels = gpd.read_geocsv("parcels/%sparcels.csv" % prefix, low_memory=False)
mazs = gpd.read_geocsv("data/mazs.csv")
parcels_ce... | 32.666667 | 77 | 0.707943 | import geopandas as gpd
import pandas as pd
import numpy as np
import shared
import sys
from shapely.geometry import Polygon
args = sys.argv[1:]
prefix = args[0] + "_" if len(args) else ""
parcels = gpd.read_geocsv("parcels/%sparcels.csv" % prefix, low_memory=False)
mazs = gpd.read_geocsv("data/mazs.csv")
parcels_ce... | 0 | 0 | 0 | 0 | 0 | 2,061 | 0 | 0 | 91 |
c75feb0738ced069d8a492125c42e855fa621a17 | 1,238 | py | Python | test/test_baseOT.py | marksibrahim/CrypTen | 4e5b13487d7f6ceaa4f06e86f0b260e0761960fd | [
"MIT"
] | null | null | null | test/test_baseOT.py | marksibrahim/CrypTen | 4e5b13487d7f6ceaa4f06e86f0b260e0761960fd | [
"MIT"
] | null | null | null | test/test_baseOT.py | marksibrahim/CrypTen | 4e5b13487d7f6ceaa4f06e86f0b260e0761960fd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import crypten.mpc.primitives.baseOT as baseOT
if __name__ == "__main__":
unittest.main()
| 30.195122 | 69 | 0.584814 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from test.multiprocess_test_case import MultiProcessTestCase
import crypten.mpc.primitives.baseOT as ... | 0 | 0 | 0 | 838 | 0 | 0 | 0 | 39 | 45 |
07d75022dbbab4c52ed216c2d2990515b7f8948b | 5,591 | py | Python | MonkeyParser.py | ideaworld/Monkey | 4867598bddb142a82adb7460e35fb5836be2e219 | [
"MIT"
] | 1 | 2017-08-01T03:30:08.000Z | 2017-08-01T03:30:08.000Z | MonkeyParser.py | ideaworld/Monkey | 4867598bddb142a82adb7460e35fb5836be2e219 | [
"MIT"
] | null | null | null | MonkeyParser.py | ideaworld/Monkey | 4867598bddb142a82adb7460e35fb5836be2e219 | [
"MIT"
] | null | null | null | import MonkeyLex
tokens = MonkeyLex.tokens
def p_program(p):
'''program : program compound_action actions
| compound_action actions
| program actions
| actions
'''
if len(p) == 4:
p[0] = p[1]
if not p[0]: p[0] = []
p[0].append(p[2])... | 24.414847 | 71 | 0.434806 | from ply import *
import MonkeyLex
tokens = MonkeyLex.tokens
def p_program(p):
'''program : program compound_action actions
| compound_action actions
| program actions
| actions
'''
if len(p) == 4:
p[0] = p[1]
if not p[0]: p[0] = []
... | 0 | 0 | 0 | 0 | 0 | 112 | 0 | -4 | 45 |
eea67e103d4c54a433a7d16617019736c435f6fb | 24,214 | py | Python | generate_testcase.py | EmbSys-WWU/SLAMtesting | 8b92531b32d57a915b00027d985d030707b90086 | [
"MIT"
] | 1 | 2022-03-23T07:13:58.000Z | 2022-03-23T07:13:58.000Z | generate_testcase.py | EmbSys-WWU/SLAMtesting | 8b92531b32d57a915b00027d985d030707b90086 | [
"MIT"
] | null | null | null | generate_testcase.py | EmbSys-WWU/SLAMtesting | 8b92531b32d57a915b00027d985d030707b90086 | [
"MIT"
] | null | null | null | from math import sqrt, atan2, hypot, sin, cos, pi
from random import uniform, gauss
from typing import Optional, Tuple
import numpy as np
from map import Map
from motion import Velocity, Odometry
from obstacle import Obstacle, ObstacleID
from robot import Robot
from sensor_trace import SensorTrace, TimeStep
from simu... | 45.175373 | 120 | 0.609234 | from math import sqrt, atan2, hypot, sin, cos, pi
from random import uniform, gauss
from typing import Optional, Tuple
import numpy as np
from map import Map
from motion import Velocity, Odometry
from obstacle import Obstacle, ObstacleID
from robot import Robot
from sensor_trace import SensorTrace, TimeStep
from simu... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0690a08b7836518ef0ef2d115bea957b10f98759 | 2,342 | py | Python | src/bot.py | gilz688/gbot | b0e159c0a86240f5b1a4f64cfc3c4e7eded33120 | [
"MIT"
] | null | null | null | src/bot.py | gilz688/gbot | b0e159c0a86240f5b1a4f64cfc3c4e7eded33120 | [
"MIT"
] | null | null | null | src/bot.py | gilz688/gbot | b0e159c0a86240f5b1a4f64cfc3c4e7eded33120 | [
"MIT"
] | null | null | null | # Android environment
DESIRED_CAPS = dict(
avd='Pixel_4_API_31',
platformName='Android',
deviceName='Pixel_2_API_31',
appPackage='com.globe.gcash.android',
appActivity='gcash.module.splashscreen.mvp.view.SplashScreenActivity',
noReset=True
)
APPIUM_URL = 'http://localhost:4723/wd/hub'
PIN_ELEME... | 35.484848 | 158 | 0.69257 | # Android environment
import time
from appium import webdriver
from appium.webdriver.common.touch_action import TouchAction
from eyes import Eyes
DESIRED_CAPS = dict(
avd='Pixel_4_API_31',
platformName='Android',
deviceName='Pixel_2_API_31',
appPackage='com.globe.gcash.android',
appActivity='gcash.... | 0 | 0 | 0 | 1,774 | 0 | 0 | 0 | 36 | 111 |
9db66e468ae7b1894fefc1c98486640202e9f671 | 5,786 | py | Python | pysnmp/CISCO-IF-LOOPBACK-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/CISCO-IF-LOOPBACK-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/CISCO-IF-LOOPBACK-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module CISCO-IF-LOOPBACK-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-IF-LOOPBACK-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:44:15 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (def... | 128.577778 | 708 | 0.754234 | #
# PySNMP MIB module CISCO-IF-LOOPBACK-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-IF-LOOPBACK-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:44:15 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (def... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f29a3396565b790e8efdf58603b05f0f1d71ac71 | 1,330 | py | Python | flod_sak/alembic/versions/20141219-1222-2a2a61dd26dc_til_446_ny_tabell_for_de_dataene_som_.py | Trondheim-kommune/Tilskuddsbasen | 4f8ce270ef7296069f8e43bfb4bf6a570a7a35d4 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | flod_sak/alembic/versions/20141219-1222-2a2a61dd26dc_til_446_ny_tabell_for_de_dataene_som_.py | Trondheim-kommune/Tilskuddsbasen | 4f8ce270ef7296069f8e43bfb4bf6a570a7a35d4 | [
"BSD-2-Clause-FreeBSD"
] | 3 | 2021-03-31T18:23:12.000Z | 2021-12-13T19:43:12.000Z | flod_sak/alembic/versions/20141219-1222-2a2a61dd26dc_til_446_ny_tabell_for_de_dataene_som_.py | Trondheim-kommune/Tilskuddsbasen | 4f8ce270ef7296069f8e43bfb4bf6a570a7a35d4 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | """TIL-446 Ny tabell for de dataene som skal arkiveres
Revision ID: 2a2a61dd26dc
Revises: 31c82e4a3348
Create Date: 2014-12-19 12:22:28.513372
"""
# revision identifiers, used by Alembic.
revision = '2a2a61dd26dc'
down_revision = '31c82e4a3348'
| 34.102564 | 96 | 0.613534 | """TIL-446 Ny tabell for de dataene som skal arkiveres
Revision ID: 2a2a61dd26dc
Revises: 31c82e4a3348
Create Date: 2014-12-19 12:22:28.513372
"""
# revision identifiers, used by Alembic.
from sqlalchemy.dialects.postgresql import JSON, ENUM
revision = '2a2a61dd26dc'
down_revision = '31c82e4a3348'
from alembic im... | 0 | 0 | 0 | 0 | 0 | 930 | 0 | 35 | 113 |
91135ad37e819ac8f5be88b4d603a5483e4a349b | 348 | py | Python | lib/getlocaladdress/getlocaladdress.py | anandtiwarics/udp-hunter | c00c20f30582cbb4bee2d9e51b92774ad4325188 | [
"Apache-2.0"
] | null | null | null | lib/getlocaladdress/getlocaladdress.py | anandtiwarics/udp-hunter | c00c20f30582cbb4bee2d9e51b92774ad4325188 | [
"Apache-2.0"
] | null | null | null | lib/getlocaladdress/getlocaladdress.py | anandtiwarics/udp-hunter | c00c20f30582cbb4bee2d9e51b92774ad4325188 | [
"Apache-2.0"
] | null | null | null |
localips = []
| 24.857143 | 100 | 0.609195 | import ifaddr
localips = []
def getlocaladdress():
adapters = ifaddr.get_adapters()
i = 1
for adapter in adapters:
localips.append((str(adapter.nice_name), str(adapter.ips[0].ip[0]), str(adapter.ips[1].ip)))
for localip in localips:
print(i, localip[0], ": IPv6", localip[1], ": IPv4",... | 0 | 0 | 0 | 0 | 0 | 295 | 0 | -8 | 45 |
d8bd711a7f9fd572e1556f921db1b2014219e04d | 611 | py | Python | src/framework/migrations/0005_auto_20200705_1845.py | rooneyrulz/polls_pro | 11409d5e80ee7b582277a22bdf8f8e196965368e | [
"MIT"
] | 1 | 2020-06-22T06:41:40.000Z | 2020-06-22T06:41:40.000Z | src/framework/migrations/0005_auto_20200705_1845.py | rooneyrulz/polls_pro | 11409d5e80ee7b582277a22bdf8f8e196965368e | [
"MIT"
] | 6 | 2020-07-24T14:41:32.000Z | 2021-09-22T19:06:21.000Z | src/framework/migrations/0005_auto_20200705_1845.py | rooneyrulz/polls_pro | 11409d5e80ee7b582277a22bdf8f8e196965368e | [
"MIT"
] | null | null | null | # Generated by Django 3.0.6 on 2020-07-05 13:15
| 24.44 | 70 | 0.621931 | # Generated by Django 3.0.6 on 2020-07-05 13:15
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('framework', '0004_auto_20200705_1818'),
]
operat... | 0 | 0 | 0 | 464 | 0 | 0 | 0 | 30 | 68 |
862f0f30b1b371e15c644721c089726d54135dcb | 4,018 | py | Python | tests/host/test_graph.py | haydnv/tinychain | 3ce912677c8359ee3050cd084c29b3c855d7f461 | [
"Apache-2.0"
] | 39 | 2021-03-04T07:43:33.000Z | 2021-12-31T06:41:59.000Z | tests/host/test_graph.py | haydnv/tinychain | 3ce912677c8359ee3050cd084c29b3c855d7f461 | [
"Apache-2.0"
] | 56 | 2021-06-23T16:02:44.000Z | 2022-03-30T11:40:20.000Z | tests/host/test_graph.py | haydnv/tinychain | 0b6ab0c749a7e0fa1becf11352e39fdf48e06020 | [
"Apache-2.0"
] | 10 | 2021-03-05T22:48:32.000Z | 2022-02-11T20:02:29.000Z | import unittest
if __name__ == "__main__":
unittest.main()
| 37.203704 | 111 | 0.61324 | import tinychain as tc
import unittest
from testutils import start_host
class TestGraph(tc.graph.Graph):
__uri__ = tc.URI(f"/test/graph")
@classmethod
def create(cls):
users = tc.table.Schema(
[tc.Column("user_id", tc.U64)],
[tc.Column("email", tc.String, 320), tc.Column(... | 0 | 2,589 | 0 | 1,235 | 0 | 0 | 0 | 12 | 114 |
098516e7968046dba602f3a3b8912c5f5b31e987 | 15,201 | py | Python | ASR_TransV1/Training.py | HariKrishna-Vydana/ASR_Transformer | a37dc7f1add148b14ca1d265d72fc4e9d9dd0fc0 | [
"MIT"
] | 1 | 2020-10-25T00:21:40.000Z | 2020-10-25T00:21:40.000Z | ASR_TransV1/Training.py | HariKrishna-Vydana/ASR_Transformer | a37dc7f1add148b14ca1d265d72fc4e9d9dd0fc0 | [
"MIT"
] | null | null | null | ASR_TransV1/Training.py | HariKrishna-Vydana/ASR_Transformer | a37dc7f1add148b14ca1d265d72fc4e9d9dd0fc0 | [
"MIT"
] | 1 | 2021-09-08T10:32:55.000Z | 2021-09-08T10:32:55.000Z | #!/usr/bin/python
import sys
import os
import subprocess
from os.path import join, isdir
##------------------------------------------------------------------
import torch
import torch.nn.parallel
import torch.backends.cudnn as cudnn
#----------------------------------------
import matplotlib
import matplotlib.pyplot as... | 51.528814 | 175 | 0.436616 | #!/usr/bin/python
import sys
import os
import subprocess
from os.path import join, isdir
import numpy as np
import fileinput
from numpy.random import permutation
##------------------------------------------------------------------
import torch
from torch import autograd, nn, optim
from torch.autograd import Variable
im... | 0 | 0 | 0 | 0 | 0 | 8,715 | 0 | 305 | 462 |
259d720ea3acdc3d764717c738f63e76aa4499dd | 1,295 | py | Python | tests/graph_builder_test.py | wwx007121/athena-decoder | a2172b41df3ceffebb2d712cd13df53b119ba0df | [
"Apache-2.0"
] | 76 | 2019-12-22T03:21:00.000Z | 2022-02-28T09:26:01.000Z | tests/graph_builder_test.py | ZhengkunTian/athena-decoder | 1ebc557d37606d8a7c9f80b87b422becf7aeb56a | [
"Apache-2.0"
] | 15 | 2020-01-08T09:13:24.000Z | 2021-04-07T02:10:20.000Z | tests/graph_builder_test.py | ZhengkunTian/athena-decoder | 1ebc557d37606d8a7c9f80b87b422becf7aeb56a | [
"Apache-2.0"
] | 25 | 2020-01-02T15:00:16.000Z | 2022-03-18T08:40:15.000Z |
from unittest import main
from absl import logging
if __name__ == '__main__':
logging.set_verbosity(logging.INFO)
main()
| 38.088235 | 112 | 0.689575 |
from unittest import TestCase, main
import os
from tempfile import TemporaryDirectory
from absl import logging
import openfst_python as fst
from pydecoders.graph.graph_builder import GraphBuilder
class GraphBuilderTestCase(TestCase):
def setUp(self):
self.unittest_dir = TemporaryDirectory()
def test_... | 0 | 0 | 0 | 996 | 0 | 0 | 0 | 57 | 111 |
daac6ab49165b7d687622732ba47897fb18f8759 | 420 | py | Python | setup.py | jpanikulam/cvxbind | 1a655e4b5a2433065b7559d672558caa8ae1f12f | [
"MIT"
] | 9 | 2016-09-08T14:47:49.000Z | 2021-04-07T23:25:39.000Z | setup.py | jpanikulam/cvxbind | 1a655e4b5a2433065b7559d672558caa8ae1f12f | [
"MIT"
] | null | null | null | setup.py | jpanikulam/cvxbind | 1a655e4b5a2433065b7559d672558caa8ae1f12f | [
"MIT"
] | 1 | 2016-09-08T17:10:56.000Z | 2016-09-08T17:10:56.000Z | from setuptools import setup
setup(
name='cvxbind',
version='1.0',
description='Python Oculus Rift DK2 Driver',
author='Jacob Panikulam',
author_email='jpanikulam@ufl.edu',
url='https://www.python.org/',
entry_points={
"console_scripts": ["cvxbind=cvxbind.main:main"]
},
pack... | 19.090909 | 56 | 0.578571 | from setuptools import setup
setup(
name='cvxbind',
version='1.0',
description='Python Oculus Rift DK2 Driver',
author='Jacob Panikulam',
author_email='jpanikulam@ufl.edu',
url='https://www.python.org/',
entry_points={
"console_scripts": ["cvxbind=cvxbind.main:main"]
},
pack... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
31c5f3c0fe58d7a879a5f41d31ad83023ea00b33 | 122 | py | Python | generators/app/templates/_project/_models/my_model.py | jrabary/generator-tf | ef376fcd0f2b968b5b7e18a2d68950243f376432 | [
"Apache-2.0"
] | null | null | null | generators/app/templates/_project/_models/my_model.py | jrabary/generator-tf | ef376fcd0f2b968b5b7e18a2d68950243f376432 | [
"Apache-2.0"
] | null | null | null | generators/app/templates/_project/_models/my_model.py | jrabary/generator-tf | ef376fcd0f2b968b5b7e18a2d68950243f376432 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
def my_model(features):
""" Base model definitions """
return tf.layers.dense(features, 1024) | 24.4 | 40 | 0.737705 | import tensorflow as tf
def my_model(features):
""" Base model definitions """
return tf.layers.dense(features, 1024) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fa0feab7530b6e32819ad39d833193c4d73abf37 | 5,952 | py | Python | grasp/cfg/fsa.py | wilkeraziz/grasp | 95f5135fd3711eed32cddce2049dd595314fb1f4 | [
"Apache-2.0"
] | 9 | 2015-07-22T18:07:44.000Z | 2021-11-08T11:21:11.000Z | grasp/cfg/fsa.py | wilkeraziz/grasp | 95f5135fd3711eed32cddce2049dd595314fb1f4 | [
"Apache-2.0"
] | null | null | null | grasp/cfg/fsa.py | wilkeraziz/grasp | 95f5135fd3711eed32cddce2049dd595314fb1f4 | [
"Apache-2.0"
] | 1 | 2021-01-12T10:00:22.000Z | 2021-01-12T10:00:22.000Z | """
This module contains class definitions for wFSAs.
:Authors: - Wilker Aziz
"""
from .symbol import Terminal
def make_linear_fsa(sentence, semiring, terminal_constructor=Terminal):
"""
Return a linea (unweighted) FSA representing an input sentence.
:param sentence:
a string or a sequence of t... | 32.883978 | 122 | 0.597278 | """
This module contains class definitions for wFSAs.
:Authors: - Wilker Aziz
"""
from collections import defaultdict
from .symbol import Terminal
class WDFSA(object):
"""
This is a deterministic wFSA.
TODO: extend it to handle nondeterminism.
"""
def __init__(self):
self._arcs = [... | 0 | 0 | 0 | 4,797 | 0 | 0 | 0 | 14 | 46 |
b042e629ffb4f8039e38ec22d9df1e2bfd9da3e1 | 7,946 | py | Python | c2cgeoportal/lib/dbreflection.py | pgiraud/c2cgeoportal | 3ec955c5c67d16256af726a62d586b3f4ec3b500 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | c2cgeoportal/lib/dbreflection.py | pgiraud/c2cgeoportal | 3ec955c5c67d16256af726a62d586b3f4ec3b500 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | c2cgeoportal/lib/dbreflection.py | pgiraud/c2cgeoportal | 3ec955c5c67d16256af726a62d586b3f4ec3b500 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | from sqlalchemy.ext.declarative import declarative_base
from geoalchemy import (Point, LineString, Polygon, MultiPoint, MultiLineString, MultiPolygon)
_class_cache = {}
_geometry_type_mappings = dict(
[(t.name, t) for t in (Point, LineString, Polygon,
MultiPoint, MultiLineString, Multi... | 32.699588 | 79 | 0.634659 | import functools
import warnings
from sqlalchemy import Table, sql, types, MetaData
from sqlalchemy.orm import relationship
from sqlalchemy.orm.util import class_mapper
from sqlalchemy.exc import SAWarning
from sqlalchemy.ext.declarative import declarative_base
from geoalchemy import Geometry, GeometryColumn
from geo... | 0 | 0 | 0 | 1,321 | 0 | 4,487 | 0 | 155 | 362 |
0edcac3d78e048f2bc53ca273ff6c26aa90cfe46 | 908 | py | Python | app/data/usecases/getters/get_user.py | lokaimoma/Bugza | 93ffe344cb0be7dc4c45965f52798e02d05d320b | [
"Unlicense"
] | 2 | 2022-02-14T23:53:00.000Z | 2022-03-24T12:19:49.000Z | app/data/usecases/getters/get_user.py | lokaimoma/Bugza | 93ffe344cb0be7dc4c45965f52798e02d05d320b | [
"Unlicense"
] | null | null | null | app/data/usecases/getters/get_user.py | lokaimoma/Bugza | 93ffe344cb0be7dc4c45965f52798e02d05d320b | [
"Unlicense"
] | null | null | null | # Created by Kelvin_Clark on 1/31/2022, 12:59 PM
| 34.923077 | 100 | 0.75 | # Created by Kelvin_Clark on 1/31/2022, 12:59 PM
from typing import Optional
from sqlalchemy import and_
from sqlalchemy.orm import Session
from app.data.entities.user import User
from app.utils.security.password_util import verify_password_hash
def get_user_by_username_id(session: Session, username: str, user_id: ... | 0 | 0 | 0 | 0 | 0 | 588 | 0 | 87 | 181 |
f9da0ef59e1e463b7b8c6b59e93da8f2e821618a | 565 | py | Python | ex042.py | thiagobachiega/python | 493b6bdee9c94e1ae8d4db06c8e5295a96f8922c | [
"MIT"
] | null | null | null | ex042.py | thiagobachiega/python | 493b6bdee9c94e1ae8d4db06c8e5295a96f8922c | [
"MIT"
] | null | null | null | ex042.py | thiagobachiega/python | 493b6bdee9c94e1ae8d4db06c8e5295a96f8922c | [
"MIT"
] | null | null | null | r1 = float(input('Primeiro segmento: '))
r2 = float(input('Segundo segmento: '))
r3 = float(input('Terceiro segmento: '))
if r1 < r2 + r3 and r2 < r1 + r3 and r3 < r2 + r1:
print('Podem formar um triangulo')
if r1 == r2 and r2 == r3 and r1 == r3: #pode ser feito tambm com: 'if r1 == r2 == r3:', sem utilizar a fu... | 37.666667 | 117 | 0.60354 | r1 = float(input('Primeiro segmento: '))
r2 = float(input('Segundo segmento: '))
r3 = float(input('Terceiro segmento: '))
if r1 < r2 + r3 and r2 < r1 + r3 and r3 < r2 + r1:
print('Podem formar um triangulo')
if r1 == r2 and r2 == r3 and r1 == r3: #pode ser feito também com: 'if r1 == r2 == r3:', sem utilizar a f... | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8b2e774f661b1045946c9f904512d2c115680ebf | 1,906 | py | Python | bot/trial3.py | Nova-Striker/discord-bot | 1c977711f348467bd73e1886c27ad4a9a93c779b | [
"Apache-2.0"
] | 1 | 2020-11-10T06:33:49.000Z | 2020-11-10T06:33:49.000Z | bot/trial3.py | Nova-Striker/discord-bot | 1c977711f348467bd73e1886c27ad4a9a93c779b | [
"Apache-2.0"
] | null | null | null | bot/trial3.py | Nova-Striker/discord-bot | 1c977711f348467bd73e1886c27ad4a9a93c779b | [
"Apache-2.0"
] | 1 | 2020-11-13T17:12:00.000Z | 2020-11-13T17:12:00.000Z | import discord
from discord.ext import commands
token = open("token.txt", "r").read()
client = discord.Client()
bot = commands.Bot(command_prefix='!joker')
#didnot work on bot join
##@bot.command()
##async def mention(ctx, user : discord.Member):
## await ctx.send(user.mention)
## if "play" in ... | 38.12 | 156 | 0.591291 | import discord
import random
from discord.ext import commands
token = open("token.txt", "r").read()
client = discord.Client()
bot = commands.Bot(command_prefix='!joker')
@client.event
async def on_ready():
print('We have logged in as {0.user}'.format(client))
#didnot work on bot join
@client.event
as... | 0 | 1,021 | 0 | 0 | 0 | 0 | 0 | -8 | 96 |
d9d8c0c81581bbfa1e2c77e4fdc7cb813f2a115a | 642 | py | Python | data-pipeline/bcreg/controller_health.py | esune/von-bc-registries-agent | 712008543e579eee46be23c418f2eeb41626bfcd | [
"Apache-2.0"
] | null | null | null | data-pipeline/bcreg/controller_health.py | esune/von-bc-registries-agent | 712008543e579eee46be23c418f2eeb41626bfcd | [
"Apache-2.0"
] | null | null | null | data-pipeline/bcreg/controller_health.py | esune/von-bc-registries-agent | 712008543e579eee46be23c418f2eeb41626bfcd | [
"Apache-2.0"
] | 1 | 2018-05-12T01:38:38.000Z | 2018-05-12T01:38:38.000Z |
import asyncio
import time
from bcreg.credssubmitter import CONTROLLER_HEALTH_URL, CONTROLLER_HEALTH_WAIT, CONTROLLER_HEALTH_TIMEOUT, check_controller_health
print("Pinging " + CONTROLLER_HEALTH_URL + " ...")
try:
loop = asyncio.get_event_loop()
start_time = time.perf_counter()
while (time.perf_counter(... | 33.789474 | 130 | 0.750779 |
import asyncio
import time
from bcreg.credssubmitter import CONTROLLER_HEALTH_URL, CONTROLLER_HEALTH_WAIT, CONTROLLER_HEALTH_TIMEOUT, check_controller_health
print("Pinging " + CONTROLLER_HEALTH_URL + " ...")
try:
loop = asyncio.get_event_loop()
start_time = time.perf_counter()
while (time.perf_counter(... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bf55bb3c31302eb24ba55f42898179c7eba3f666 | 2,523 | py | Python | upydevice/devtools.py | Carglglz/upydevice | 0bd0686b9d729f8c2d5b23482fbc2f7dab990806 | [
"MIT"
] | 8 | 2019-10-24T14:59:35.000Z | 2021-07-09T21:23:48.000Z | upydevice/devtools.py | Carglglz/upydevice | 0bd0686b9d729f8c2d5b23482fbc2f7dab990806 | [
"MIT"
] | 3 | 2019-12-10T05:58:54.000Z | 2022-03-27T12:19:21.000Z | upydevice/devtools.py | Carglglz/upydevice | 0bd0686b9d729f8c2d5b23482fbc2f7dab990806 | [
"MIT"
] | 4 | 2019-11-30T23:07:29.000Z | 2022-03-21T01:32:37.000Z | #!/usr/bin/env python 3
# MIT License
#
# Copyright (c) 2020 Carlos Gil Gonzalez
#
# 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 right... | 37.102941 | 99 | 0.682917 | #!/usr/bin/env python 3
# MIT License
#
# Copyright (c) 2020 Carlos Gil Gonzalez
#
# 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 right... | 0 | 0 | 0 | 0 | 0 | 1,182 | 0 | -10 | 91 |
57e431496954d35b15525cbb817b8c9f2ec73940 | 108 | py | Python | demo.py | edigiacomo/skinnywms | 953ebb637b4d9ef1b78bfcbcfebae4496ec7f9d5 | [
"Apache-2.0"
] | null | null | null | demo.py | edigiacomo/skinnywms | 953ebb637b4d9ef1b78bfcbcfebae4496ec7f9d5 | [
"Apache-2.0"
] | null | null | null | demo.py | edigiacomo/skinnywms | 953ebb637b4d9ef1b78bfcbcfebae4496ec7f9d5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
from skinnywms.wmssvr import application
application.run(debug=True, threaded=False)
| 27 | 43 | 0.814815 | #!/usr/bin/env python3
from skinnywms.wmssvr import application
application.run(debug=True, threaded=False)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2f2e054bb6efd12637fcd86ee1f9e715b5b62d07 | 1,310 | py | Python | ebay_tweet_bot/tweeter.py | geoffsmiller/ebay_tweet_bot | 32c7ccee67e04c268c8b15256df601b502261e69 | [
"MIT"
] | 4 | 2016-08-16T13:06:24.000Z | 2019-09-02T22:34:34.000Z | ebay_tweet_bot/tweeter.py | geoffsmiller/ebay_tweet_bot | 32c7ccee67e04c268c8b15256df601b502261e69 | [
"MIT"
] | null | null | null | ebay_tweet_bot/tweeter.py | geoffsmiller/ebay_tweet_bot | 32c7ccee67e04c268c8b15256df601b502261e69 | [
"MIT"
] | 1 | 2019-09-30T18:47:32.000Z | 2019-09-30T18:47:32.000Z | # -*- coding: utf-8 -*-
| 35.405405 | 88 | 0.628244 | # -*- coding: utf-8 -*-
import twitter
import requests
class Tweeter():
BITLY_API_BASE_URL = 'https://api-ssl.bitly.com/v3/shorten'
def __init__(self, config_consumer_key, config_consumer_secret,
config_access_token_key, config_access_token_secret,
config_bitly_access_token)... | 3 | 0 | 0 | 1,230 | 0 | 0 | 0 | -13 | 67 |
869afaf72841d583d7ecbf9f55c25f1fb7fbc88c | 10,223 | py | Python | rj_gameplay/rj_gameplay/play/restart.py | RoboJackets/robocup-software | ae2920b8b98213e625d0565dd67005e7a8595fac | [
"Apache-2.0"
] | 200 | 2015-01-26T01:45:34.000Z | 2022-03-19T13:05:31.000Z | rj_gameplay/rj_gameplay/play/restart.py | RoboJackets/robocup-software | ae2920b8b98213e625d0565dd67005e7a8595fac | [
"Apache-2.0"
] | 1,254 | 2015-01-03T01:57:35.000Z | 2022-03-16T06:32:21.000Z | rj_gameplay/rj_gameplay/play/restart.py | RoboJackets/robocup-software | ae2920b8b98213e625d0565dd67005e7a8595fac | [
"Apache-2.0"
] | 206 | 2015-01-21T02:03:18.000Z | 2022-02-01T17:57:46.000Z | import stp.play as play
import stp.tactic as tactic
import stp.skill as skill
import stp.role as role
import stp.rc as rc
| 45.435556 | 109 | 0.604519 | import stp.play as play
import stp.tactic as tactic
from rj_gameplay.tactic import pass_tactic, pass_seek, nmark_tactic, goalie_tactic, clear_tactic, wall_tactic
import stp.skill as skill
import stp.role as role
from stp.role.assignment.naive import NaiveRoleAssignment
import stp.rc as rc
from typing import Dict, Gene... | 0 | 0 | 0 | 9,729 | 0 | 0 | 0 | 213 | 157 |
ad89ebefe25057d4f023bf56acfaa6b21d405ef9 | 3,461 | py | Python | inrange.py | li195111/ObjectFilter | 32392171c2ad698aa6764e1c7abaa063e43d6e64 | [
"Apache-2.0"
] | null | null | null | inrange.py | li195111/ObjectFilter | 32392171c2ad698aa6764e1c7abaa063e43d6e64 | [
"Apache-2.0"
] | null | null | null | inrange.py | li195111/ObjectFilter | 32392171c2ad698aa6764e1c7abaa063e43d6e64 | [
"Apache-2.0"
] | null | null | null | import cv2
if __name__ == "__main__":
img = cv2.imread('/Users/liyue/Desktop/QC/QRCode//0_origin.jpg')
irimg = InRangeImage(img)
cv2.waitKey(0)
cv2.destroyAllWindows() | 42.207317 | 118 | 0.6423 | import cv2
import numpy as np
class InRangeImage:
def __init__(self, image, title='image') -> None:
self.image = image
self.filted = image.copy()
self.control_map = {
'low_r':0,
'low_g':0,
'low_b':0,
'height_r':255,
'height_g':255,... | 12 | 388 | 0 | 2,835 | 0 | 0 | 0 | -3 | 45 |
4384e5486738957e3632386cb5db8189764f5eed | 65,238 | py | Python | raiden/transfer/mediated_transfer/mediator.py | gmarko/raiden | 5d181843b44b7766904120e19077cc6949f17e0c | [
"MIT"
] | 1 | 2020-10-19T15:00:42.000Z | 2020-10-19T15:00:42.000Z | raiden/transfer/mediated_transfer/mediator.py | gmarko/raiden | 5d181843b44b7766904120e19077cc6949f17e0c | [
"MIT"
] | null | null | null | raiden/transfer/mediated_transfer/mediator.py | gmarko/raiden | 5d181843b44b7766904120e19077cc6949f17e0c | [
"MIT"
] | null | null | null | import itertools
import operator
import random
from fractions import Fraction
from typing import Callable
from raiden.exceptions import UndefinedMediationFee
from raiden.transfer import channel, routes, secret_registry
from raiden.transfer.architecture import Event, StateChange, SuccessOrError, TransitionResult
from r... | 39.827839 | 99 | 0.70928 | import itertools
import operator
import random
from fractions import Fraction
from typing import Callable
from raiden.exceptions import UndefinedMediationFee
from raiden.transfer import channel, routes, secret_registry
from raiden.transfer.architecture import Event, StateChange, SuccessOrError, TransitionResult
from r... | 0 | 0 | 0 | 0 | 0 | 4,273 | 0 | 206 | 69 |
981026ea4a4f66c72db656e359443133d64bcc1a | 17,366 | py | Python | NN_NER_tensorFlow/BasicTextPreprocessing_CNN_CRF.py | adapt-sjtu/novelner | a8f54ffe3360a4fdfa4b154a6668e74459a61ec3 | [
"Apache-2.0"
] | 8 | 2017-06-08T09:48:25.000Z | 2020-07-09T10:51:36.000Z | NN_NER_tensorFlow/BasicTextPreprocessing_CNN_CRF.py | adapt-sjtu/novelner | a8f54ffe3360a4fdfa4b154a6668e74459a61ec3 | [
"Apache-2.0"
] | 1 | 2018-07-07T12:38:25.000Z | 2018-07-07T12:38:25.000Z | NN_NER_tensorFlow/BasicTextPreprocessing_CNN_CRF.py | adapt-sjtu/novelner | a8f54ffe3360a4fdfa4b154a6668e74459a61ec3 | [
"Apache-2.0"
] | 4 | 2018-01-13T01:37:51.000Z | 2019-08-05T12:25:32.000Z |
# coding: utf-8
# In[1]:
import tensorflow as tf
import utils as utils
import aux_network_func as af
import data_processor as dp
#Alphabet maps objects to integer ids
from alphabet import Alphabet
import network as network
import dill
import numpy as np
import os
import time
import datetime
from tensorflow.python ... | 51.838806 | 200 | 0.754348 |
# coding: utf-8
# In[1]:
import tensorflow as tf
import utils as utils
import aux_network_func as af
import data_processor as dp
#Alphabet maps objects to integer ids
from alphabet import Alphabet
import network as network
import dill
import numpy as np
import os
import time
import datetime
from tensorflow.python ... | 0 | 0 | 0 | 0 | 0 | 990 | 0 | 0 | 27 |