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classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c00f9a3422f1bf11c82c480287ebb51534ea2fc | 2,780 | py | Python | Liang-Barsky-stright-line-clipping-algorithm.py | HHN0609/fundamental-computer-graphic-algorithm | cb38887e2fe9e0290f6efc369b5dc4ce84da55b7 | [
"MIT"
] | 1 | 2022-02-28T01:41:47.000Z | 2022-02-28T01:41:47.000Z | Liang-Barsky-stright-line-clipping-algorithm.py | HHN0609/fundamental-computer-graphic-algorithm | cb38887e2fe9e0290f6efc369b5dc4ce84da55b7 | [
"MIT"
] | null | null | null | Liang-Barsky-stright-line-clipping-algorithm.py | HHN0609/fundamental-computer-graphic-algorithm | cb38887e2fe9e0290f6efc369b5dc4ce84da55b7 | [
"MIT"
] | null | null | null | from PIL import Image
import time
import math
def midpoint_line(img,x0,y0,x1,y1,color):
#用中点算法画一条直线
if x0>x1 or (x0==x1 and y0>y1):
t=x0
x0=x1
x1=t
t=y0
y0=y1
y1=t
steep=abs(y1-y0)>abs(x1-x0)
if steep == True:
t=x0
x0=y0
... | 20.746269 | 54 | 0.415468 | from PIL import Image
import time
import math
def midpoint_line(img,x0,y0,x1,y1,color):
if x0>x1 or (x0==x1 and y0>y1):
t=x0
x0=x1
x1=t
t=y0
y0=y1
y1=t
steep=abs(y1-y0)>abs(x1-x0)
if steep == True:
t=x0
x0=y0
y0=t
... | true | true |
1c00fb85e0ca9c4f3fdefb4eac4aabbac99e870e | 2,531 | py | Python | test/tools_for_tests.py | cw-tan/deft | abb4d23fa0bb53031c13daef9942bceba4afd655 | [
"MIT"
] | 1 | 2019-08-29T23:30:38.000Z | 2019-08-29T23:30:38.000Z | test/tools_for_tests.py | cw-tan/deft | abb4d23fa0bb53031c13daef9942bceba4afd655 | [
"MIT"
] | 3 | 2022-02-24T20:00:40.000Z | 2022-03-07T12:05:27.000Z | test/tools_for_tests.py | cw-tan/deft | abb4d23fa0bb53031c13daef9942bceba4afd655 | [
"MIT"
] | 1 | 2019-04-05T15:07:36.000Z | 2019-04-05T15:07:36.000Z | import numpy as np
from scipy.special import sph_harm
def get_box_geometry(vectors):
"""expects box vectors in rows of 'vectors'"""
# get box lengths, angles, and volume
lengths = np.linalg.norm(vectors, axis=1)
angles = np.empty(3)
angles[0] = np.arccos(
vectors[1,:].dot(vectors[2,:])... | 38.938462 | 78 | 0.615172 | import numpy as np
from scipy.special import sph_harm
def get_box_geometry(vectors):
lengths = np.linalg.norm(vectors, axis=1)
angles = np.empty(3)
angles[0] = np.arccos(
vectors[1,:].dot(vectors[2,:])/(lengths[1]*lengths[2]))
angles[1] = np.arccos(
vectors[0,:].dot(vectors... | true | true |
1c00fbfe809da27f9079f2546d0d0aa8a4fd243e | 9,809 | py | Python | single_cell_power.py | npirvin/Radiative-Transport-PV | d5236bfae5789fd2be5bb0190e962a83c24b3ae7 | [
"MIT"
] | null | null | null | single_cell_power.py | npirvin/Radiative-Transport-PV | d5236bfae5789fd2be5bb0190e962a83c24b3ae7 | [
"MIT"
] | null | null | null | single_cell_power.py | npirvin/Radiative-Transport-PV | d5236bfae5789fd2be5bb0190e962a83c24b3ae7 | [
"MIT"
] | null | null | null | """ Created on Thu Jun 21 14:31:46 2018
Author: Nicholas Irvin
This module determines the output power of a cell.
If using the diffusion model, then spectral.py calculates the total current,
and this module calcualtes the power.
If not using the diffusion model, then spectral.py calculates photogeneration cu... | 43.211454 | 251 | 0.57957 |
import numpy as np
from scipy.optimize import minimize_scalar, brentq
import matplotlib.pyplot as plt import spectral, recombination, sunlight, carrier_models
c = 2.99792458e8
h = 6.6260755e-34
k = 1.38064852e-23
# J/K Boltzmann's constant
q = 1.60217653e-19 ... | true | true |
1c00fcd72f64d812dffaf0fd0a5b8611d3005524 | 1,730 | py | Python | torchaudio/_backend.py | astaff/audio | 27a0f7653bc2918e314b4225782d2b29ef31ae4a | [
"BSD-2-Clause"
] | null | null | null | torchaudio/_backend.py | astaff/audio | 27a0f7653bc2918e314b4225782d2b29ef31ae4a | [
"BSD-2-Clause"
] | null | null | null | torchaudio/_backend.py | astaff/audio | 27a0f7653bc2918e314b4225782d2b29ef31ae4a | [
"BSD-2-Clause"
] | null | null | null | from functools import wraps
from typing import Any, List, Union
import platform
import torch
from torch import Tensor
from . import _soundfile_backend, _sox_backend
_audio_backend = "soundfile" if platform.system() == "Windows" else "sox"
_audio_backends = {"sox": _sox_backend, "soundfile": _soundfile_backend}
de... | 26.615385 | 115 | 0.655491 | from functools import wraps
from typing import Any, List, Union
import platform
import torch
from torch import Tensor
from . import _soundfile_backend, _sox_backend
_audio_backend = "soundfile" if platform.system() == "Windows" else "sox"
_audio_backends = {"sox": _sox_backend, "soundfile": _soundfile_backend}
de... | true | true |
1c00fdf06425b0f0e1ab173f6f4ea81b0604af0e | 8,881 | py | Python | pyxrf/core/xrf_utils.py | dmgav/test_doc | 2e3b8faf55364c5b3f7e2897b8d6bfe61f5b4664 | [
"BSD-3-Clause"
] | null | null | null | pyxrf/core/xrf_utils.py | dmgav/test_doc | 2e3b8faf55364c5b3f7e2897b8d6bfe61f5b4664 | [
"BSD-3-Clause"
] | null | null | null | pyxrf/core/xrf_utils.py | dmgav/test_doc | 2e3b8faf55364c5b3f7e2897b8d6bfe61f5b4664 | [
"BSD-3-Clause"
] | null | null | null | import re
import xraylib
from skbeam.core.constants import XrfElement as Element
from skbeam.core.fitting.xrf_model import K_LINE, L_LINE, M_LINE
def get_element_atomic_number(element_str):
r"""
A wrapper to ``SymbolToAtomicNumber`` function from ``xraylib``.
Returns atomic number for the sybmolic element... | 29.702341 | 98 | 0.632136 | import re
import xraylib
from skbeam.core.constants import XrfElement as Element
from skbeam.core.fitting.xrf_model import K_LINE, L_LINE, M_LINE
def get_element_atomic_number(element_str):
xraylib.SetErrorMessages(0)
try:
val = xraylib.SymbolToAtomicNumber(element_str)
except ValueError:
... | true | true |
1c00fe03a27336ba3881a5f375f858cfc207529b | 2,273 | py | Python | api/tasks.py | LuoBingjun/lab-reservation-backend | 20688a1651c6bc077a92db5fe2f071c1762a3886 | [
"MIT"
] | null | null | null | api/tasks.py | LuoBingjun/lab-reservation-backend | 20688a1651c6bc077a92db5fe2f071c1762a3886 | [
"MIT"
] | null | null | null | api/tasks.py | LuoBingjun/lab-reservation-backend | 20688a1651c6bc077a92db5fe2f071c1762a3886 | [
"MIT"
] | null | null | null | from api.models import ReserveRecord, BreachRecord, UseRecord
from django.utils import timezone
import datetime
def update_AM():
breach = ReserveRecord.objects.filter(date=datetime.date.today(), time='AM', checked=True)
for item in breach:
BreachRecord.objects.create(user=item.user, operator=ite... | 42.092593 | 154 | 0.676199 | from api.models import ReserveRecord, BreachRecord, UseRecord
from django.utils import timezone
import datetime
def update_AM():
breach = ReserveRecord.objects.filter(date=datetime.date.today(), time='AM', checked=True)
for item in breach:
BreachRecord.objects.create(user=item.user, operator=ite... | true | true |
1c00fe8795f6f9b48a4d693415cd4efbbbe036c4 | 4,037 | py | Python | genanki/model.py | SteveSapuko/genanki | 1717b116ec84a659858e4138b1ea5d4d891ff6b0 | [
"MIT"
] | 1 | 2020-06-05T14:04:04.000Z | 2020-06-05T14:04:04.000Z | genanki/model.py | SteveSapuko/genanki | 1717b116ec84a659858e4138b1ea5d4d891ff6b0 | [
"MIT"
] | null | null | null | genanki/model.py | SteveSapuko/genanki | 1717b116ec84a659858e4138b1ea5d4d891ff6b0 | [
"MIT"
] | null | null | null | from copy import copy
from cached_property import cached_property
import pystache
import yaml
class Model:
FRONT_BACK = 0
CLOZE = 1
def __init__(self, model_id=None, name=None, fields=None, templates=None, css='', model_type=FRONT_BACK):
self.model_id = model_id
self.name = name
self.set_fields(fie... | 33.090164 | 119 | 0.642061 | from copy import copy
from cached_property import cached_property
import pystache
import yaml
class Model:
FRONT_BACK = 0
CLOZE = 1
def __init__(self, model_id=None, name=None, fields=None, templates=None, css='', model_type=FRONT_BACK):
self.model_id = model_id
self.name = name
self.set_fields(fie... | true | true |
1c00fecf2b2845c9b7e22ced7a72085ba9bfd174 | 1,220 | py | Python | tools/BlenderProc/src/writer/ObjectStateWriter.py | GeorgSchenzel/pose-detector | 32aff471e2591726bbe52140915255af6dc4f1a1 | [
"MIT"
] | null | null | null | tools/BlenderProc/src/writer/ObjectStateWriter.py | GeorgSchenzel/pose-detector | 32aff471e2591726bbe52140915255af6dc4f1a1 | [
"MIT"
] | null | null | null | tools/BlenderProc/src/writer/ObjectStateWriter.py | GeorgSchenzel/pose-detector | 32aff471e2591726bbe52140915255af6dc4f1a1 | [
"MIT"
] | null | null | null | from src.utility.BlenderUtility import get_all_mesh_objects
from src.utility.ItemWriter import ItemWriter
from src.writer.WriterInterface import WriterInterface
class ObjectStateWriter(WriterInterface):
""" Writes the state of all objects for each frame to a numpy file if no hfd5 file is available. """
def _... | 40.666667 | 104 | 0.681967 | from src.utility.BlenderUtility import get_all_mesh_objects
from src.utility.ItemWriter import ItemWriter
from src.writer.WriterInterface import WriterInterface
class ObjectStateWriter(WriterInterface):
def __init__(self, config):
WriterInterface.__init__(self, config)
self.object_writer = ItemWr... | true | true |
1c00ff05a26178a4e671a6221c39f992aa177952 | 1,172 | py | Python | video_recorder.py | abhi526691/Covid-Guard | 9c050ef44201c01f512169ffb146ad0da5278ec1 | [
"MIT"
] | 5 | 2020-08-26T18:39:29.000Z | 2020-11-16T13:05:11.000Z | video_recorder.py | abhi526691/Covid-Guard | 9c050ef44201c01f512169ffb146ad0da5278ec1 | [
"MIT"
] | null | null | null | video_recorder.py | abhi526691/Covid-Guard | 9c050ef44201c01f512169ffb146ad0da5278ec1 | [
"MIT"
] | 2 | 2020-10-07T15:12:51.000Z | 2020-10-22T08:49:13.000Z | # import the necessary packages
import tensorflow
import numpy as np
import pyautogui
import cv2
import os
def start():
output = "Output/video.avi"
img = pyautogui.screenshot()
img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
# get info from img
height, width, channels = img.s... | 26.044444 | 75 | 0.607509 | import tensorflow
import numpy as np
import pyautogui
import cv2
import os
def start():
output = "Output/video.avi"
img = pyautogui.screenshot()
img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
height, width, channels = img.shape
fourcc = cv2.VideoWriter_fourcc(*'mp4v')... | true | true |
1c01003b2c1594448da840f945a87cd1de9bd011 | 8,029 | py | Python | app/server/bowling/api/scoring.py | bhimeshchauhan/bowling-score | cfb3e8740344bb2d5744a5b2088c143bcdcf889a | [
"MIT"
] | null | null | null | app/server/bowling/api/scoring.py | bhimeshchauhan/bowling-score | cfb3e8740344bb2d5744a5b2088c143bcdcf889a | [
"MIT"
] | null | null | null | app/server/bowling/api/scoring.py | bhimeshchauhan/bowling-score | cfb3e8740344bb2d5744a5b2088c143bcdcf889a | [
"MIT"
] | null | null | null | #!/url/bin/python
# Filename: bowling.py
# To run this code: python bowling.py ../data/test.csv
import sys
import csv
import logging
class Bowling(object):
"""
A class used to represent bowling games
...
Attributes
----------
cases : dict
a tally dictionary that converts from strin... | 37.518692 | 139 | 0.545149 |
import sys
import csv
import logging
class Bowling(object):
def __init__(self):
self.cases = {
'X' : 10,
'/' : 10,
'-' : 0,
'0' : 0,
'1' : 1,
'2' : 2,
'3' : 3,
'4' : 4,
'5' : 5,
'6' : ... | true | true |
1c0100b390beae3ebb97ecfb17d8f55a16b3e8cc | 1,816 | py | Python | src/app.py | rayanht/UK-Biobank-Visualisation | d4eb00f194b6452cbd2164d87b433e71ab1783f6 | [
"MIT"
] | 3 | 2021-03-03T20:11:04.000Z | 2021-12-20T12:38:47.000Z | src/app.py | rayanht/UK-Biobank-Visualisation | d4eb00f194b6452cbd2164d87b433e71ab1783f6 | [
"MIT"
] | 16 | 2020-10-28T16:08:47.000Z | 2022-02-13T23:46:09.000Z | src/app.py | rayanht/UK-Biobank-Visualisation | d4eb00f194b6452cbd2164d87b433e71ab1783f6 | [
"MIT"
] | 1 | 2021-01-07T01:43:11.000Z | 2021-01-07T01:43:11.000Z | import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import layout.pages.index
import layout.pages.plotting_tool
from src.dash_app import app, dash
server = app.server
app.layout = html.Div(
[dcc.Location(id="url", refresh=False, href="/plot"),... | 25.222222 | 86 | 0.67511 | import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import layout.pages.index
import layout.pages.plotting_tool
from src.dash_app import app, dash
server = app.server
app.layout = html.Div(
[dcc.Location(id="url", refresh=False, href="/plot"),... | true | true |
1c01012dc37d73e23094ecf22a4fdf30fb537562 | 617 | py | Python | torch/_C/CudaSparseShortTensorBase.py | binh-vu/pytorch-stub | 2067c75457c66fd4fd40fde091b5da971f8ea838 | [
"MIT"
] | 21 | 2019-01-25T08:53:51.000Z | 2021-05-29T05:19:57.000Z | torch/_C/CudaSparseShortTensorBase.py | binh-vu/pytorch-stub | 2067c75457c66fd4fd40fde091b5da971f8ea838 | [
"MIT"
] | 1 | 2020-11-19T03:22:24.000Z | 2021-03-22T14:48:55.000Z | torch/_C/CudaSparseShortTensorBase.py | binh-vu/pytorch-stub | 2067c75457c66fd4fd40fde091b5da971f8ea838 | [
"MIT"
] | 4 | 2019-03-02T05:59:19.000Z | 2019-10-05T11:38:55.000Z | # encoding: utf-8
# module torch._C
# from /Users/rook/anaconda/lib/python3.6/site-packages/torch/_C.cpython-36m-darwin.so
# by generator 1.145
# no doc
# imports
import torch._C._functions as _functions # <module 'torch._C._functions'>
from .object import object
class CudaSparseShortTensorBase(object):
# no doc... | 24.68 | 101 | 0.688817 |
import torch._C._functions as _functions
from .object import object
class CudaSparseShortTensorBase(object):
def __init__(self): pass
__weakref__ = property(lambda self: object(), lambda self, v: None, lambda self: None)
__dict__ = None
| true | true |
1c010149e59b8d216c2b44d38643c7c67aa09c12 | 7,925 | py | Python | exam/utils/utils.py | fabiorodp/IN5550_Neural_Methods_in_Natural_Language_Processing | 4d3b2ed56b56e016413ae1544e19ad2a2c0ef047 | [
"MIT"
] | null | null | null | exam/utils/utils.py | fabiorodp/IN5550_Neural_Methods_in_Natural_Language_Processing | 4d3b2ed56b56e016413ae1544e19ad2a2c0ef047 | [
"MIT"
] | null | null | null | exam/utils/utils.py | fabiorodp/IN5550_Neural_Methods_in_Natural_Language_Processing | 4d3b2ed56b56e016413ae1544e19ad2a2c0ef047 | [
"MIT"
] | null | null | null | from sklearn.metrics import precision_score, recall_score, f1_score
def binary_tp(gold, pred):
"""
for each member in pred, if it overlaps with any member of gold,
return 1
else
return 0
"""
tps = 0
for p in pred:
tp = False
for word in p:
for span in gold:
... | 31.200787 | 101 | 0.556341 | from sklearn.metrics import precision_score, recall_score, f1_score
def binary_tp(gold, pred):
tps = 0
for p in pred:
tp = False
for word in p:
for span in gold:
if word in span:
tp = True
if tp is True:
tps += 1
return tps... | true | true |
1c0102b6711f7a99c76efcfe4c25b65057a0633a | 3,257 | py | Python | test.py | OmerRe/Zero_DCE_TF | 457c28751ccedd343a5bcdc750306d6f7501a3bc | [
"MIT"
] | null | null | null | test.py | OmerRe/Zero_DCE_TF | 457c28751ccedd343a5bcdc750306d6f7501a3bc | [
"MIT"
] | null | null | null | test.py | OmerRe/Zero_DCE_TF | 457c28751ccedd343a5bcdc750306d6f7501a3bc | [
"MIT"
] | null | null | null | import keras
import tensorflow as tf
import keras.backend as K
import os
import sys
import argparse
import time
import src.model
import numpy as np
import glob
from PIL import Image
from src.loss import *
from src.model import DCE_x
from keras import Model, Input
from keras.layers import Concatenate, Conv2D
tf.compat... | 41.75641 | 159 | 0.642309 | import keras
import tensorflow as tf
import keras.backend as K
import os
import sys
import argparse
import time
import src.model
import numpy as np
import glob
from PIL import Image
from src.loss import *
from src.model import DCE_x
from keras import Model, Input
from keras.layers import Concatenate, Conv2D
tf.compat... | true | true |
1c0102f4eeee9e7dba956ba4525fa84596544956 | 215 | py | Python | Controller/ChooseFactory.py | RLeDEV/AutoJob | 8fa45f464b3cd5c92dffef0c57d6c64ab46012d2 | [
"MIT"
] | 2 | 2020-08-11T01:04:00.000Z | 2020-08-24T13:58:39.000Z | Controller/ChooseFactory.py | RLeDEV/AutoJob | 8fa45f464b3cd5c92dffef0c57d6c64ab46012d2 | [
"MIT"
] | null | null | null | Controller/ChooseFactory.py | RLeDEV/AutoJob | 8fa45f464b3cd5c92dffef0c57d6c64ab46012d2 | [
"MIT"
] | null | null | null | from Model.Glassdoor import Glassdoor
from Model.Indeed import Indeed
def WebChooser(website, url):
websites = {
"indeed": Indeed,
"glassdoor": Glassdoor
}
return websites[website](url)
| 21.5 | 37 | 0.674419 | from Model.Glassdoor import Glassdoor
from Model.Indeed import Indeed
def WebChooser(website, url):
websites = {
"indeed": Indeed,
"glassdoor": Glassdoor
}
return websites[website](url)
| true | true |
1c01034a9a423082a9205f7f8d7389d82e1b9bcf | 3,389 | py | Python | stockticker-i2c-oled.py | vishbin/raspberrypi-tinker | 21dbcbf18e7e01adb860a739568670c10d5ac2db | [
"MIT"
] | null | null | null | stockticker-i2c-oled.py | vishbin/raspberrypi-tinker | 21dbcbf18e7e01adb860a739568670c10d5ac2db | [
"MIT"
] | null | null | null | stockticker-i2c-oled.py | vishbin/raspberrypi-tinker | 21dbcbf18e7e01adb860a739568670c10d5ac2db | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import time
import subprocess
import board
import digitalio
import busio
import adafruit_ssd1306
from PIL import Image, ImageDraw, ImageFont
from yahoo_fin import stock_info
# which stock to track
TICKER_SYMBOL = 'AAPL'
TICKER_SYMBOL_ARR = ["AAPL", "MA", "COF","PLTR","TSLA","GOOGL","AFRM","C","... | 37.655556 | 150 | 0.621127 |
import time
import subprocess
import board
import digitalio
import busio
import adafruit_ssd1306
from PIL import Image, ImageDraw, ImageFont
from yahoo_fin import stock_info
TICKER_SYMBOL = 'AAPL'
TICKER_SYMBOL_ARR = ["AAPL", "MA", "COF","PLTR","TSLA","GOOGL","AFRM","C","NFLX","CCL","MSFT","NVDA","V","ABNB","AI","DAS... | true | true |
1c0103706f89d4cd59c07bc6e099f58b63414a8e | 215 | py | Python | deui/html/attribute/step_attr.py | urushiyama/DeUI | 14530d2dae7d96a3dee30759f85e02239fb433c5 | [
"MIT"
] | 1 | 2021-10-17T01:54:18.000Z | 2021-10-17T01:54:18.000Z | deui/html/attribute/step_attr.py | urushiyama/DeUI | 14530d2dae7d96a3dee30759f85e02239fb433c5 | [
"MIT"
] | null | null | null | deui/html/attribute/step_attr.py | urushiyama/DeUI | 14530d2dae7d96a3dee30759f85e02239fb433c5 | [
"MIT"
] | null | null | null | from .attribute_builder import AttributeBuilder
class Step(AttributeBuilder):
"""
Represents 'step' attribute.
"""
def __init__(self):
super().__init__()
self.attributes = ["step"]
| 19.545455 | 47 | 0.637209 | from .attribute_builder import AttributeBuilder
class Step(AttributeBuilder):
def __init__(self):
super().__init__()
self.attributes = ["step"]
| true | true |
1c0104d3d42ae9c7be25f036d0c19010fca3ea2d | 3,414 | py | Python | tests/test-global.py | ZoneTangible/python-spidermonkey | 6e3d647f7b04e5ea325d28d2e00fda5df40ea72c | [
"MIT"
] | 129 | 2015-02-03T06:59:02.000Z | 2022-01-26T11:03:19.000Z | tests/test-global.py | ZoneTangible/python-spidermonkey | 6e3d647f7b04e5ea325d28d2e00fda5df40ea72c | [
"MIT"
] | 3 | 2015-03-26T14:38:21.000Z | 2020-06-19T10:53:19.000Z | tests/test-global.py | ZoneTangible/python-spidermonkey | 6e3d647f7b04e5ea325d28d2e00fda5df40ea72c | [
"MIT"
] | 41 | 2015-03-18T11:59:26.000Z | 2022-03-06T15:04:23.000Z | # Copyright 2009 Paul J. Davis <paul.joseph.davis@gmail.com>
#
# This file is part of the python-spidermonkey package released
# under the MIT license.
import t
@t.cx()
def test_bind_global(cx):
cx.add_global("foo", "yay spring!")
t.eq(cx.execute("foo;"), "yay spring!")
@t.cx()
def test_use_global(cx):
cx... | 23.874126 | 63 | 0.617458 | import t
@t.cx()
def test_bind_global(cx):
cx.add_global("foo", "yay spring!")
t.eq(cx.execute("foo;"), "yay spring!")
@t.cx()
def test_use_global(cx):
cx.add_global("biz", 3)
t.eq(cx.execute("biz * biz;"), 9)
@t.cx()
def test_unicode_in_global(cx):
cx.add_global(u"\u00FC", 234)
t.eq(cx.execu... | true | true |
1c0104f340f75d2f957159491b18d142d65cb1bd | 8,946 | py | Python | pandas/tests/indexes/timedeltas/test_constructors.py | Japanuspus/pandas | e38e987160c792f315685dc74fc1fc33d9389a71 | [
"BSD-3-Clause"
] | 1 | 2021-01-06T00:28:03.000Z | 2021-01-06T00:28:03.000Z | pandas/tests/indexes/timedeltas/test_constructors.py | Japanuspus/pandas | e38e987160c792f315685dc74fc1fc33d9389a71 | [
"BSD-3-Clause"
] | null | null | null | pandas/tests/indexes/timedeltas/test_constructors.py | Japanuspus/pandas | e38e987160c792f315685dc74fc1fc33d9389a71 | [
"BSD-3-Clause"
] | 1 | 2022-03-08T15:07:11.000Z | 2022-03-08T15:07:11.000Z | from datetime import timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import Timedelta, TimedeltaIndex, timedelta_range, to_timedelta
import pandas._testing as tm
from pandas.core.arrays import TimedeltaArray
class TestTimedeltaIndex:
@pytest.mark.parametrize("unit", ["Y", "y", "M"])
... | 35.359684 | 85 | 0.597809 | from datetime import timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import Timedelta, TimedeltaIndex, timedelta_range, to_timedelta
import pandas._testing as tm
from pandas.core.arrays import TimedeltaArray
class TestTimedeltaIndex:
@pytest.mark.parametrize("unit", ["Y", "y", "M"])
... | true | true |
1c010630d9e0049439c33532beef6401fd6a3445 | 4,879 | py | Python | agent/DDPG_agent.py | sboominathan/DeepRL | a415f23b9fff2f7179b1bd3c42ee46df64a605d4 | [
"Apache-2.0"
] | null | null | null | agent/DDPG_agent.py | sboominathan/DeepRL | a415f23b9fff2f7179b1bd3c42ee46df64a605d4 | [
"Apache-2.0"
] | null | null | null | agent/DDPG_agent.py | sboominathan/DeepRL | a415f23b9fff2f7179b1bd3c42ee46df64a605d4 | [
"Apache-2.0"
] | null | null | null | #######################################################################
# Copyright (C) 2017 Shangtong Zhang(zhangshangtong.cpp@gmail.com) #
# Permission given to modify the code as long as you keep this #
# declaration at the top #
################################... | 37.244275 | 96 | 0.59172 |
import numpy as np
import torch.multiprocessing as mp
from network import *
from utils import *
from component import *
import pickle
import os
import time
class DDPGAgent:
def __init__(self, config):
self.config = config
self.task = config.task_fn()
self.worker_network = config.network_fn... | true | true |
1c010750ae1f0fd3ad86884edefaf57030e685d6 | 1,854 | py | Python | tests/optimization_test.py | hzhwcmhf/pytorch-pretrained-BERT | 485adde74244f9b614263420d1f823660e0f96fe | [
"Apache-2.0"
] | 58 | 2019-09-16T07:24:23.000Z | 2021-12-30T09:04:38.000Z | tests/optimization_test.py | hzhwcmhf/pytorch-pretrained-BERT | 485adde74244f9b614263420d1f823660e0f96fe | [
"Apache-2.0"
] | 1 | 2021-05-06T10:10:28.000Z | 2021-05-06T10:10:28.000Z | tests/optimization_test.py | hzhwcmhf/pytorch-pretrained-BERT | 485adde74244f9b614263420d1f823660e0f96fe | [
"Apache-2.0"
] | 32 | 2019-07-30T17:47:21.000Z | 2022-03-29T22:33:29.000Z | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 36.352941 | 93 | 0.659115 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import unittest
import torch
from pytorch_pretrained_bert import BertAdam
class OptimizationTest(unittest.TestCase):
def assertListAlmostEqual(self, list1, list2, tol):
self.assertEqual(len(list... | true | true |
1c0107a491c6a98c169e74fbf0f99e074876dd35 | 842 | py | Python | Process Sheduling/process.py | VictorCampelo/TSO_algorithms | e3c4e828048b66c5d0cf85cff5991d7a61780290 | [
"MIT"
] | null | null | null | Process Sheduling/process.py | VictorCampelo/TSO_algorithms | e3c4e828048b66c5d0cf85cff5991d7a61780290 | [
"MIT"
] | null | null | null | Process Sheduling/process.py | VictorCampelo/TSO_algorithms | e3c4e828048b66c5d0cf85cff5991d7a61780290 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
class Process:
""" this class is representing the process"""
def __init__(self, idt, arr, exc):
self.idt = idt
self.arr = arr
self.arr_aux = arr
self.exc = exc
self.prt = -1
self.start_exc = -1
def idt(self):
return self.idt
def arr(self):
return self.... | 16.84 | 46 | 0.652019 | class Process:
def __init__(self, idt, arr, exc):
self.idt = idt
self.arr = arr
self.arr_aux = arr
self.exc = exc
self.prt = -1
self.start_exc = -1
def idt(self):
return self.idt
def arr(self):
return self.arr
def arr_aux(self):
return self.arr_aux
def arr_to_pair(self):
self.arr_aux += 1... | true | true |
1c0108cb6b90fde44a71d8104f16d768ad3c4c7e | 695 | py | Python | leetcode/938. Range Sum of BST.py | isaiahnields/algorithms | 065b95a007dab3f5e375e73a681e7a6e344b41f1 | [
"MIT"
] | null | null | null | leetcode/938. Range Sum of BST.py | isaiahnields/algorithms | 065b95a007dab3f5e375e73a681e7a6e344b41f1 | [
"MIT"
] | null | null | null | leetcode/938. Range Sum of BST.py | isaiahnields/algorithms | 065b95a007dab3f5e375e73a681e7a6e344b41f1 | [
"MIT"
] | null | null | null | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def __init__(self):
self.result = 0
def rangeSumBST(self, root, L, R):
"""
:type root: TreeNode
... | 23.965517 | 55 | 0.500719 |
class Solution:
def __init__(self):
self.result = 0
def rangeSumBST(self, root, L, R):
self.helper(root, L, R)
return self.result
def helper(self, root, L, R):
if not root: return
if L <= root.val <= R:
self.result += root.val
if L ... | true | true |
1c0109c0d6837cb97163d6eb4630d938d0b5015b | 9,210 | py | Python | homeassistant/components/airvisual/sensor.py | MDM-General/home-assistant | 5ec7d072831bc01a3d045884f86fad13850c231d | [
"Apache-2.0"
] | null | null | null | homeassistant/components/airvisual/sensor.py | MDM-General/home-assistant | 5ec7d072831bc01a3d045884f86fad13850c231d | [
"Apache-2.0"
] | null | null | null | homeassistant/components/airvisual/sensor.py | MDM-General/home-assistant | 5ec7d072831bc01a3d045884f86fad13850c231d | [
"Apache-2.0"
] | 1 | 2020-02-24T16:17:42.000Z | 2020-02-24T16:17:42.000Z | """Support for AirVisual air quality sensors."""
from datetime import timedelta
from logging import getLogger
from pyairvisual import Client
from pyairvisual.errors import AirVisualError
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
ATTR_ATT... | 33.613139 | 88 | 0.630727 | from datetime import timedelta
from logging import getLogger
from pyairvisual import Client
from pyairvisual.errors import AirVisualError
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
ATTR_ATTRIBUTION,
ATTR_LATITUDE,
ATTR_LONGITUDE,
... | true | true |
1c010b058c6944a5a82babbaa2371dcda61b2455 | 3,516 | py | Python | UMass_Map_dgl/settings.py | akethu/UMass-Map-DGL | db634c25f0bc465959d2252218fa41039b0b8a97 | [
"MIT"
] | 1 | 2021-09-15T20:42:02.000Z | 2021-09-15T20:42:02.000Z | UMass_Map_dgl/settings.py | akethu/UMass-Map-DGL | db634c25f0bc465959d2252218fa41039b0b8a97 | [
"MIT"
] | null | null | null | UMass_Map_dgl/settings.py | akethu/UMass-Map-DGL | db634c25f0bc465959d2252218fa41039b0b8a97 | [
"MIT"
] | 1 | 2021-09-21T03:24:32.000Z | 2021-09-21T03:24:32.000Z | """
Django settings for UMass_Map_dgl project.
Generated by 'django-admin startproject' using Django 3.2.3.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
import... | 26.636364 | 91 | 0.709329 |
import os
import django_heroku
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = 'django-insecure-a6n)m5p@qz&nyy2wn#!#ehgct%70ji$s5!dlmksr^pi!ux-$at'
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contri... | true | true |
1c010b280b1ed8545db74ec71836014177268392 | 56 | py | Python | tensorbreeze/engine/__init__.py | mingruimingrui/TensorBreeze | 5373ab1d10f276b1e9c08c75af471ff74da635fe | [
"MIT"
] | null | null | null | tensorbreeze/engine/__init__.py | mingruimingrui/TensorBreeze | 5373ab1d10f276b1e9c08c75af471ff74da635fe | [
"MIT"
] | null | null | null | tensorbreeze/engine/__init__.py | mingruimingrui/TensorBreeze | 5373ab1d10f276b1e9c08c75af471ff74da635fe | [
"MIT"
] | null | null | null | from ._do_train import do_train
__all__ = ['do_train']
| 14 | 31 | 0.75 | from ._do_train import do_train
__all__ = ['do_train']
| true | true |
1c010c2dee2dd6231b944ecaf56cc2e8791fec19 | 1,436 | py | Python | fomu/blink/hw/blink_hacker.py | TomKeddie/prj-litex | cc79c041d22ad552a12b49f531d007491b536521 | [
"MIT"
] | 2 | 2019-08-26T13:49:22.000Z | 2019-11-11T18:43:29.000Z | fomu/blink/hw/blink_hacker.py | TomKeddie/prj-litex | cc79c041d22ad552a12b49f531d007491b536521 | [
"MIT"
] | null | null | null | fomu/blink/hw/blink_hacker.py | TomKeddie/prj-litex | cc79c041d22ad552a12b49f531d007491b536521 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import argparse
from migen import *
from litex.boards.platforms import fomu_hacker
from litex.soc.cores import *
from litex.soc.integration import soc_core
from litex.soc.cores import gpio
from litex.soc.integration.builder import *
from gateware import up5kspram
# Build --------------------... | 31.911111 | 100 | 0.603064 |
import argparse
from migen import *
from litex.boards.platforms import fomu_hacker
from litex.soc.cores import *
from litex.soc.integration import soc_core
from litex.soc.cores import gpio
from litex.soc.integration.builder import *
from gateware import up5kspram
def main():
platform = fomu_hacker.Platform()
... | true | true |
1c010dd6eff77bfdade877bd272edf65eb82573a | 6,161 | py | Python | src/bnn_priors/bnn_priors/models/dense_nets.py | activatedgeek/uncertainty-da-bayesian-classification | a270fb095f4790dea15327145897d09d0ba9c80b | [
"Apache-2.0"
] | 31 | 2021-02-16T09:35:03.000Z | 2022-03-31T17:18:54.000Z | src/bnn_priors/bnn_priors/models/dense_nets.py | activatedgeek/understanding-bayesian-classification | a270fb095f4790dea15327145897d09d0ba9c80b | [
"Apache-2.0"
] | 1 | 2021-05-10T15:25:48.000Z | 2021-05-10T15:25:48.000Z | src/bnn_priors/bnn_priors/models/dense_nets.py | activatedgeek/understanding-bayesian-classification | a270fb095f4790dea15327145897d09d0ba9c80b | [
"Apache-2.0"
] | 4 | 2021-02-21T03:38:00.000Z | 2021-12-24T15:13:29.000Z | from torch import nn, Tensor
from .layers import Linear
from .base import RegressionModel, RaoBRegressionModel, ClassificationModel
from .. import prior
__all__ = ('LinearNealNormal', 'LinearPrior', 'DenseNet', 'RaoBDenseNet',
'ClassificationDenseNet', 'LinearRegression', 'LogisticRegression',
'... | 51.773109 | 102 | 0.631716 | from torch import nn, Tensor
from .layers import Linear
from .base import RegressionModel, RaoBRegressionModel, ClassificationModel
from .. import prior
__all__ = ('LinearNealNormal', 'LinearPrior', 'DenseNet', 'RaoBDenseNet',
'ClassificationDenseNet', 'LinearRegression', 'LogisticRegression',
'... | true | true |
1c010f3dc2c9d3e9f3931e63f52da6798cb2f02a | 1,468 | py | Python | funboost/consumers/udp_consumer.py | DJMIN/funboost | 7570ca2909bb0b44a1080f5f98aa96c86d3da9d4 | [
"Apache-2.0"
] | 120 | 2021-12-26T03:27:12.000Z | 2022-03-31T16:20:44.000Z | funboost/consumers/udp_consumer.py | mooti-barry/funboost | 2cd9530e2c4e5a52fc921070d243d402adbc3a0e | [
"Apache-2.0"
] | 18 | 2021-12-31T06:26:37.000Z | 2022-03-31T16:16:33.000Z | funboost/consumers/udp_consumer.py | mooti-barry/funboost | 2cd9530e2c4e5a52fc921070d243d402adbc3a0e | [
"Apache-2.0"
] | 27 | 2021-12-26T16:12:31.000Z | 2022-03-26T17:43:08.000Z | # -*- coding: utf-8 -*-
# @Author : ydf
# @Time : 2019/8/8 0008 13:32
import json
import socket
from funboost.consumers.base_consumer import AbstractConsumer
class UDPConsumer(AbstractConsumer, ):
"""
socket 实现消息队列，不支持持久化，但不需要安装软件。
"""
BROKER_KIND = 21
BUFSIZE = 10240
# noinspection PyA... | 31.913043 | 80 | 0.63624 | import json
import socket
from funboost.consumers.base_consumer import AbstractConsumer
class UDPConsumer(AbstractConsumer, ):
BROKER_KIND = 21
BUFSIZE = 10240
def custom_init(self):
self.__udp_client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
ip__port_str = self.queue_name.... | true | true |
1c010f936b5ff512f4f3f74266db91c7f32faaad | 1,370 | py | Python | tests/utils/test_auto_umap.py | fariasfc/solo-learn | f53ff40edbc7e96e06db5238d8c3a44f7b8965c1 | [
"MIT"
] | 3 | 2021-08-23T12:47:50.000Z | 2022-01-16T02:06:34.000Z | tests/utils/test_auto_umap.py | damilu1/solo-learn | b75ba6faf5269b0849120bfb89593f9bc23e09bc | [
"MIT"
] | null | null | null | tests/utils/test_auto_umap.py | damilu1/solo-learn | b75ba6faf5269b0849120bfb89593f9bc23e09bc | [
"MIT"
] | null | null | null | import argparse
import shutil
from pytorch_lightning import Trainer
from solo.methods import BarlowTwins
from solo.utils.auto_umap import AutoUMAP
from ..methods.utils import DATA_KWARGS, gen_base_kwargs, prepare_dummy_dataloaders
def test_auto_umap():
method_kwargs = {
"name": "barlow_twins",
"... | 25.37037 | 89 | 0.678832 | import argparse
import shutil
from pytorch_lightning import Trainer
from solo.methods import BarlowTwins
from solo.utils.auto_umap import AutoUMAP
from ..methods.utils import DATA_KWARGS, gen_base_kwargs, prepare_dummy_dataloaders
def test_auto_umap():
method_kwargs = {
"name": "barlow_twins",
"... | true | true |
1c010ff328ab17cf52ac1ff67701494cfb93097d | 797 | py | Python | mowgli_etl/pipeline/eat/eat_pipeline.py | tetherless-world/mowgli | 28c19eba41e03e053ae4addff56a313d926e18d7 | [
"MIT"
] | 4 | 2021-01-15T15:36:23.000Z | 2021-09-01T06:52:05.000Z | mowgli_etl/pipeline/eat/eat_pipeline.py | tetherless-world/mowgli | 28c19eba41e03e053ae4addff56a313d926e18d7 | [
"MIT"
] | 63 | 2020-05-04T13:48:04.000Z | 2020-06-06T02:32:58.000Z | mowgli_etl/pipeline/eat/eat_pipeline.py | tetherless-world/mowgli-etl | 28c19eba41e03e053ae4addff56a313d926e18d7 | [
"MIT"
] | null | null | null | from mowgli_etl._pipeline import _Pipeline
from mowgli_etl.pipeline.eat.eat_extractor import EatExtractor
from mowgli_etl.pipeline.eat.eat_transformer import EatTransformer
from mowgli_etl.paths import DATA_DIR
default_eat_file_path = str(DATA_DIR / 'eat' / 'eat100.xml')
class EatPipeline(_Pipeline):
def __init_... | 33.208333 | 108 | 0.708908 | from mowgli_etl._pipeline import _Pipeline
from mowgli_etl.pipeline.eat.eat_extractor import EatExtractor
from mowgli_etl.pipeline.eat.eat_transformer import EatTransformer
from mowgli_etl.paths import DATA_DIR
default_eat_file_path = str(DATA_DIR / 'eat' / 'eat100.xml')
class EatPipeline(_Pipeline):
def __init_... | true | true |
1c0110568549afc53a91d34a14b923d7f2f15ef5 | 2,755 | py | Python | capser.py | lstorchi/fmoutiler | 04269e8f816ab5d7e81c6b2721ae0feeee5e185d | [
"Apache-2.0"
] | null | null | null | capser.py | lstorchi/fmoutiler | 04269e8f816ab5d7e81c6b2721ae0feeee5e185d | [
"Apache-2.0"
] | null | null | null | capser.py | lstorchi/fmoutiler | 04269e8f816ab5d7e81c6b2721ae0feeee5e185d | [
"Apache-2.0"
] | null | null | null | import argparse
import pybel
import numpy
import sys
import os.path
import openbabel as ob
from scipy.spatial import distance
parser = argparse.ArgumentParser()
parser.add_argument("-i","--inputfile", help="Specify PDB input file",
required=True, type=str, default="test.pdb")
parser.add_argument("-l... | 30.955056 | 92 | 0.630853 | import argparse
import pybel
import numpy
import sys
import os.path
import openbabel as ob
from scipy.spatial import distance
parser = argparse.ArgumentParser()
parser.add_argument("-i","--inputfile", help="Specify PDB input file",
required=True, type=str, default="test.pdb")
parser.add_argument("-l... | false | true |
1c0111bb2c26311c3bb79621b726f84ec1578453 | 1,927 | py | Python | face_recognition/project/utils/get_images_from_hdf5.py | dgr113/face-recognition | edda6ca8fef567d24ae740afd2399b66166f3431 | [
"MIT"
] | null | null | null | face_recognition/project/utils/get_images_from_hdf5.py | dgr113/face-recognition | edda6ca8fef567d24ae740afd2399b66166f3431 | [
"MIT"
] | null | null | null | face_recognition/project/utils/get_images_from_hdf5.py | dgr113/face-recognition | edda6ca8fef567d24ae740afd2399b66166f3431 | [
"MIT"
] | null | null | null | # coding: utf-8
import cv2
import json
import h5py
import numpy as np
from functools import partial
from pathlib import Path
from typing import Union, Sequence, Hashable, Dict, Any
from more_itertools import always_iterable
def write_image(save_path: str, img: np.array) -> None:
""" Write image from numpy arra... | 30.109375 | 183 | 0.652309 |
import cv2
import json
import h5py
import numpy as np
from functools import partial
from pathlib import Path
from typing import Union, Sequence, Hashable, Dict, Any
from more_itertools import always_iterable
def write_image(save_path: str, img: np.array) -> None:
cv2.imwrite(save_path, img)
def _json_data_h... | true | true |
1c011259a352cf30eca01c53f4f3b428a8ace8f2 | 1,876 | py | Python | plugins/CVE-2017-15944.py | mehrdad-shokri/ZEROScan | bbb3e6234c6b45512e54df67ba672a8eca882922 | [
"MIT"
] | 60 | 2017-03-15T12:41:14.000Z | 2021-11-19T02:59:30.000Z | plugins/CVE-2017-15944.py | mehrdad-shokri/ZEROScan | bbb3e6234c6b45512e54df67ba672a8eca882922 | [
"MIT"
] | null | null | null | plugins/CVE-2017-15944.py | mehrdad-shokri/ZEROScan | bbb3e6234c6b45512e54df67ba672a8eca882922 | [
"MIT"
] | 19 | 2016-08-11T06:55:21.000Z | 2021-05-14T15:42:57.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from thirdparty import requests
from lib.core import log
def expInfo():
expInfo={}
expInfo["appName"] = "Palo Alto Networks firewalls"
expInfo["appVersion"] = "PAN-OS 6.1.19,PAN-OS 7.0.19,PAN-OS 7.1.14,PAN-OS 8.0.6"
expInfo["author"] = "Z3r0yu"
expInfo[... | 29.777778 | 110 | 0.554371 |
from thirdparty import requests
from lib.core import log
def expInfo():
expInfo={}
expInfo["appName"] = "Palo Alto Networks firewalls"
expInfo["appVersion"] = "PAN-OS 6.1.19,PAN-OS 7.0.19,PAN-OS 7.1.14,PAN-OS 8.0.6"
expInfo["author"] = "Z3r0yu"
expInfo["description"] = "remote root code execution"... | true | true |
1c0112a981625c9e0f8bc5470992d368904d3b47 | 51,914 | py | Python | interferogram/sentinel/create_ifg_standard_product_do_not_use.py | earthobservatory/ariamh-pub | f33731e127f38ff33b02e02c07b16793c07651a6 | [
"Apache-2.0"
] | 4 | 2019-11-19T03:35:35.000Z | 2020-12-07T18:43:11.000Z | interferogram/sentinel/create_ifg_standard_product_do_not_use.py | earthobservatory/ariamh-pub | f33731e127f38ff33b02e02c07b16793c07651a6 | [
"Apache-2.0"
] | 3 | 2019-06-05T03:35:55.000Z | 2020-04-09T14:16:08.000Z | interferogram/sentinel/create_ifg_standard_product_do_not_use.py | earthobservatory/ariamh-pub | f33731e127f38ff33b02e02c07b16793c07651a6 | [
"Apache-2.0"
] | 6 | 2019-08-23T22:53:11.000Z | 2021-11-06T15:15:30.000Z | #!/usr/bin/env python3
from __future__ import division
from builtins import str
from builtins import range
from past.utils import old_div
import os, sys, re, requests, json, shutil, traceback, logging, hashlib, math
from itertools import chain
from zipfile import ZipFile
from subprocess import check_call, CalledProces... | 38.032234 | 171 | 0.614728 | from __future__ import division
from builtins import str
from builtins import range
from past.utils import old_div
import os, sys, re, requests, json, shutil, traceback, logging, hashlib, math
from itertools import chain
from zipfile import ZipFile
from subprocess import check_call, CalledProcessError
from glob import ... | true | true |
1c01136ba3c8c1d415776ae8293219763a9c0bff | 458 | py | Python | task/admin.py | soltanoff/dj_task_queue | b219756d607d7b42bd33d8d603cad7a425962011 | [
"MIT"
] | null | null | null | task/admin.py | soltanoff/dj_task_queue | b219756d607d7b42bd33d8d603cad7a425962011 | [
"MIT"
] | 1 | 2018-12-03T11:32:52.000Z | 2018-12-03T11:32:52.000Z | task/admin.py | soltanoff/dj_task_queue | b219756d607d7b42bd33d8d603cad7a425962011 | [
"MIT"
] | null | null | null | from django.contrib import admin
from task.models import TaskModel
class TaskAdmin(admin.ModelAdmin):
search_fields = ('status',)
list_display = ('id', 'create_time', 'start_time', 'exec_time', 'status')
fieldsets = [
('Date information', {'fields': ['create_time', 'start_time', 'exec_time'], 'cl... | 28.625 | 108 | 0.641921 | from django.contrib import admin
from task.models import TaskModel
class TaskAdmin(admin.ModelAdmin):
search_fields = ('status',)
list_display = ('id', 'create_time', 'start_time', 'exec_time', 'status')
fieldsets = [
('Date information', {'fields': ['create_time', 'start_time', 'exec_time'], 'cl... | true | true |
1c011556c01e210f004143d172c99776aaa1e42e | 7,402 | py | Python | model-optimizer/mo/middle/passes/fusing/fuse_linear_ops.py | monroid/openvino | 8272b3857ef5be0aaa8abbf7bd0d5d5615dc40b6 | [
"Apache-2.0"
] | 2,406 | 2020-04-22T15:47:54.000Z | 2022-03-31T10:27:37.000Z | model-optimizer/mo/middle/passes/fusing/fuse_linear_ops.py | thomas-yanxin/openvino | 031e998a15ec738c64cc2379d7f30fb73087c272 | [
"Apache-2.0"
] | 4,948 | 2020-04-22T15:12:39.000Z | 2022-03-31T18:45:42.000Z | model-optimizer/mo/middle/passes/fusing/fuse_linear_ops.py | thomas-yanxin/openvino | 031e998a15ec738c64cc2379d7f30fb73087c272 | [
"Apache-2.0"
] | 991 | 2020-04-23T18:21:09.000Z | 2022-03-31T18:40:57.000Z | # Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import logging as log
import numpy as np
from mo.graph.graph import Node, Graph
from mo.middle.passes.fusing.helpers import backward_bfs, forward_bfs, get_value_in_port, \
get_tensor_in_port
from mo.ops.const import Const
def _fu... | 41.122222 | 117 | 0.638071 |
import logging as log
import numpy as np
from mo.graph.graph import Node, Graph
from mo.middle.passes.fusing.helpers import backward_bfs, forward_bfs, get_value_in_port, \
get_tensor_in_port
from mo.ops.const import Const
def _fuse_mul(graph: Graph, node: Node, fuse_nodes: list, backward: bool = True):
is_... | true | true |
1c0117487e2c52e7b1086c9d18bcad23206a236b | 8,918 | py | Python | ambari-server/src/main/resources/common-services/KAFKA/0.8.1.2.2/package/scripts/kafka.py | fangxingli/mambari | 6da9f6090d4d42623529b73413c8feb8b7f6fe45 | [
"Apache-2.0",
"MIT"
] | null | null | null | ambari-server/src/main/resources/common-services/KAFKA/0.8.1.2.2/package/scripts/kafka.py | fangxingli/mambari | 6da9f6090d4d42623529b73413c8feb8b7f6fe45 | [
"Apache-2.0",
"MIT"
] | null | null | null | ambari-server/src/main/resources/common-services/KAFKA/0.8.1.2.2/package/scripts/kafka.py | fangxingli/mambari | 6da9f6090d4d42623529b73413c8feb8b7f6fe45 | [
"Apache-2.0",
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License");... | 40.536364 | 176 | 0.704418 | """
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this ... | false | true |
1c0119013195bb1fb690fd0b929673b1eba8e5e6 | 524 | py | Python | examples/functionfeeder.py | bstienen/high-dimensional-sampling | 5326938c6d2af3b167b396d31069cc1405ee2175 | [
"MIT"
] | 2 | 2021-05-24T13:37:59.000Z | 2021-12-16T10:35:15.000Z | examples/functionfeeder.py | bstienen/high-dimensional-sampling | 5326938c6d2af3b167b396d31069cc1405ee2175 | [
"MIT"
] | 29 | 2019-09-16T13:03:13.000Z | 2020-12-24T18:17:44.000Z | examples/functionfeeder.py | bstienen/high-dimensional-sampling | 5326938c6d2af3b167b396d31069cc1405ee2175 | [
"MIT"
] | 10 | 2019-08-18T23:11:44.000Z | 2020-11-08T23:16:51.000Z | """
Show testfunctions available in the functions module, grouped per function
group. Functions can be part of multiple groups.
"""
from high_dimensional_sampling import functions
feeder = functions.FunctionFeeder()
groups = [
'optimisation', 'posterior', 'with_derivative', 'no_derivative', 'bounded',
'unboun... | 23.818182 | 79 | 0.692748 | from high_dimensional_sampling import functions
feeder = functions.FunctionFeeder()
groups = [
'optimisation', 'posterior', 'with_derivative', 'no_derivative', 'bounded',
'unbounded'
]
for group in groups:
print(group.upper())
print('-' * 32)
feeder.load_function_group(group)
for f in feeder:... | true | true |
1c0119627c3d07ea4f4e7e65073c52b31a128925 | 92 | py | Python | interpacf/__init__.py | bmorris3/interp-acf | ea0ca38ab1f5cd4d4ad1863c2b88d2f9aa3803ee | [
"MIT"
] | 7 | 2017-05-29T11:35:15.000Z | 2021-09-10T05:58:06.000Z | interpacf/__init__.py | bmorris3/interp-acf | ea0ca38ab1f5cd4d4ad1863c2b88d2f9aa3803ee | [
"MIT"
] | 6 | 2016-04-25T23:14:05.000Z | 2020-08-17T15:18:28.000Z | interpacf/__init__.py | bmorris3/interp-acf | ea0ca38ab1f5cd4d4ad1863c2b88d2f9aa3803ee | [
"MIT"
] | 3 | 2016-04-25T20:46:31.000Z | 2021-09-10T06:28:55.000Z | from .interpacf import *
__version__ = "0.1"
__author__ = "Brett Morris (bmmorris@uw.edu)"
| 18.4 | 45 | 0.717391 | from .interpacf import *
__version__ = "0.1"
__author__ = "Brett Morris (bmmorris@uw.edu)"
| true | true |
1c01199f3f35d5cd194140f50c7b53cbe34d8425 | 3,351 | py | Python | 17/main.py | pylaligand/advent_code_2020 | b6a25ed828a4b7936a1f73c2a9be34180a8e6b90 | [
"Apache-2.0"
] | null | null | null | 17/main.py | pylaligand/advent_code_2020 | b6a25ed828a4b7936a1f73c2a9be34180a8e6b90 | [
"Apache-2.0"
] | null | null | null | 17/main.py | pylaligand/advent_code_2020 | b6a25ed828a4b7936a1f73c2a9be34180a8e6b90 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import argparse
class DimensionState(object):
def __init__(self, with_4th):
self._cubes = {}
self._with_4th = with_4th
def is_active(self, x, y, z, w):
return self._cubes.setdefault((x, y, z, w), False)
def set_active(self, x, y, z, w, active):
self.... | 31.027778 | 94 | 0.551776 |
import argparse
class DimensionState(object):
def __init__(self, with_4th):
self._cubes = {}
self._with_4th = with_4th
def is_active(self, x, y, z, w):
return self._cubes.setdefault((x, y, z, w), False)
def set_active(self, x, y, z, w, active):
self._cubes[(x, y, z, w... | true | true |
1c011aae94e4db16f6009f26b05a7206f77d8749 | 2,896 | py | Python | main/main_feat_baseline_reddit.py | khangtran2020/contentDP | d0d83c387f2d21fce342d0c445eb06ec928c1414 | [
"MIT"
] | null | null | null | main/main_feat_baseline_reddit.py | khangtran2020/contentDP | d0d83c387f2d21fce342d0c445eb06ec928c1414 | [
"MIT"
] | null | null | null | main/main_feat_baseline_reddit.py | khangtran2020/contentDP | d0d83c387f2d21fce342d0c445eb06ec928c1414 | [
"MIT"
] | null | null | null | import os
import warnings
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
warnings.filterwarnings("ignore", category=DeprecationWarning)
warnings.simplefilter(action='ignore', category=FutureWarning)
import dgl
import numpy as np
from tqdm import tqdm
from Utils.DataProcessing im... | 32.539326 | 121 | 0.663329 | import os
import warnings
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
warnings.filterwarnings("ignore", category=DeprecationWarning)
warnings.simplefilter(action='ignore', category=FutureWarning)
import dgl
import numpy as np
from tqdm import tqdm
from Utils.DataProcessing im... | true | true |
1c011afd590ad683a888a0211dfce9b0fae224c9 | 1,108 | py | Python | examples/research/read_umat.py | fishjojo/pydmfe | 93cfc655314933d3531b5733521a1f95a044f6cb | [
"MIT"
] | 3 | 2021-02-26T06:26:00.000Z | 2022-02-20T08:58:20.000Z | examples/research/read_umat.py | fishjojo/pydmfet | 93cfc655314933d3531b5733521a1f95a044f6cb | [
"MIT"
] | null | null | null | examples/research/read_umat.py | fishjojo/pydmfet | 93cfc655314933d3531b5733521a1f95a044f6cb | [
"MIT"
] | null | null | null | import numpy as np
from argparse import ArgumentParser
def read_umat(nrow,filename):
f = open(filename, "r")
mat = np.ndarray((nrow,nrow),dtype = np.double)
vec = []
index = 0
nline = 0
for line in f:
nline += 1
elemts = line.split()
if(nline%(nrow+1) == 1):
... | 22.612245 | 60 | 0.49278 | import numpy as np
from argparse import ArgumentParser
def read_umat(nrow,filename):
f = open(filename, "r")
mat = np.ndarray((nrow,nrow),dtype = np.double)
vec = []
index = 0
nline = 0
for line in f:
nline += 1
elemts = line.split()
if(nline%(nrow+1) == 1):
... | true | true |
1c011b02880635c1e131af37046e09ad3462dacb | 12,357 | py | Python | dashboard/modules/job/sdk.py | willfrey/ray | 288a81b42ef0186ab4db33b30191614a7bdb69f6 | [
"Apache-2.0"
] | 1 | 2019-06-19T02:23:43.000Z | 2019-06-19T02:23:43.000Z | dashboard/modules/job/sdk.py | willfrey/ray | 288a81b42ef0186ab4db33b30191614a7bdb69f6 | [
"Apache-2.0"
] | 73 | 2021-09-25T07:11:39.000Z | 2022-03-26T07:10:59.000Z | dashboard/modules/job/sdk.py | willfrey/ray | 288a81b42ef0186ab4db33b30191614a7bdb69f6 | [
"Apache-2.0"
] | 1 | 2019-09-24T16:24:49.000Z | 2019-09-24T16:24:49.000Z | import dataclasses
import logging
from typing import Any, Dict, Iterator, Optional
try:
import aiohttp
import requests
except ImportError:
aiohttp = None
requests = None
from ray.dashboard.modules.job.common import (
JobStatus,
JobSubmitRequest,
JobSubmitResponse,
JobStopResponse,
... | 36.344118 | 87 | 0.589383 | import dataclasses
import logging
from typing import Any, Dict, Iterator, Optional
try:
import aiohttp
import requests
except ImportError:
aiohttp = None
requests = None
from ray.dashboard.modules.job.common import (
JobStatus,
JobSubmitRequest,
JobSubmitResponse,
JobStopResponse,
... | true | true |
1c011c30fc29ab08c8cd14499882d719a5efec85 | 811 | py | Python | PYTHON/setup.py | joan2937/picod | 2caddb6ca33e8a0be25858b3a507881360cb76a0 | [
"Unlicense"
] | 13 | 2021-04-13T08:54:04.000Z | 2022-03-26T16:44:03.000Z | PYTHON/setup.py | joan2937/picod | 2caddb6ca33e8a0be25858b3a507881360cb76a0 | [
"Unlicense"
] | 1 | 2021-05-06T14:12:15.000Z | 2021-05-06T17:02:52.000Z | PYTHON/setup.py | joan2937/picod | 2caddb6ca33e8a0be25858b3a507881360cb76a0 | [
"Unlicense"
] | 7 | 2021-04-19T15:01:49.000Z | 2022-03-27T19:51:43.000Z | #!/usr/bin/env python
from setuptools import setup
with open('README.md') as f:
long_description = f.read()
setup(name='picod',
version='0.0.6.0',
zip_safe=False,
author='joan',
author_email='joan@abyz.me.uk',
maintainer='joan',
maintainer_email='joan@abyz.me.uk',
url='h... | 27.965517 | 64 | 0.612824 |
from setuptools import setup
with open('README.md') as f:
long_description = f.read()
setup(name='picod',
version='0.0.6.0',
zip_safe=False,
author='joan',
author_email='joan@abyz.me.uk',
maintainer='joan',
maintainer_email='joan@abyz.me.uk',
url='http://abyz.me.uk/picod... | true | true |
1c011d42702c61d354fb9ca9e6c8311dae2bff04 | 2,290 | py | Python | content/safely-parse-arguments-to-eval/example.py | root-11/root-11.github.io | 8099f32abb46a21fce51dac326be78ea1e613d79 | [
"MIT"
] | 2 | 2021-12-20T11:03:04.000Z | 2022-02-23T23:53:36.000Z | content/safely-parse-arguments-to-eval/example.py | root-11/root-11.github.io | 8099f32abb46a21fce51dac326be78ea1e613d79 | [
"MIT"
] | null | null | null | content/safely-parse-arguments-to-eval/example.py | root-11/root-11.github.io | 8099f32abb46a21fce51dac326be78ea1e613d79 | [
"MIT"
] | null | null | null | # our initial table:
table = {
0: ['A', 'B', 'C', 'D'],
1: [123, 2, 32, 321],
2: [133, 2.1, 33, 123],
3: [143, 3.1e4, 34, 111],
4: [163, 3, 35, 222],
5: [143, 4, 36, 333],
6: [123, 4, 37, 444],
}
# our function provided by the user:
func = "(int(round(('A'*'B)+('C'*'A') + 4, 0)) + max('D, '... | 31.369863 | 116 | 0.599127 | table = {
0: ['A', 'B', 'C', 'D'],
1: [123, 2, 32, 321],
2: [133, 2.1, 33, 123],
3: [143, 3.1e4, 34, 111],
4: [163, 3, 35, 222],
5: [143, 4, 36, 333],
6: [123, 4, 37, 444],
}
func = "(int(round(('A'*'B)+('C'*'A') + 4, 0)) + max('D, 'B))/'A'"
new_column_name = "E"
# our filters:
operators =... | true | true |
1c011d858e073fb0a2587d80e69fdd8d79276c12 | 3,853 | py | Python | ad_examples/ad/kde_outlier.py | snad-space/ad_examples | 7c62a81f52e79874d6215b262f5a849d56eeae4f | [
"MIT"
] | 6 | 2019-02-28T13:33:30.000Z | 2020-04-23T18:12:57.000Z | ad_examples/ad/kde_outlier.py | snad-space/ad_examples | 7c62a81f52e79874d6215b262f5a849d56eeae4f | [
"MIT"
] | null | null | null | ad_examples/ad/kde_outlier.py | snad-space/ad_examples | 7c62a81f52e79874d6215b262f5a849d56eeae4f | [
"MIT"
] | 1 | 2019-11-18T12:53:41.000Z | 2019-11-18T12:53:41.000Z | import numpy.random as rnd
from ..common.gen_samples import *
from ..common.gen_samples import *
"""
pythonw -m ad_examples.ad.kde_outlier
"""
if __name__ == "__main__":
logger = logging.getLogger(__name__)
args = get_command_args(debug=True, debug_args=["--debug",
... | 37.77451 | 99 | 0.520114 | import numpy.random as rnd
from ..common.gen_samples import *
from ..common.gen_samples import *
if __name__ == "__main__":
logger = logging.getLogger(__name__)
args = get_command_args(debug=True, debug_args=["--debug",
"--plot",
... | true | true |
1c011e7d8c6da3fac215c31432d7e9030120d39d | 1,512 | py | Python | dags/exercise2.py | Fabricc/airflow-training-skeleton | 900cb12842ae0035d97d6bdec23541462335def3 | [
"Apache-2.0"
] | null | null | null | dags/exercise2.py | Fabricc/airflow-training-skeleton | 900cb12842ae0035d97d6bdec23541462335def3 | [
"Apache-2.0"
] | null | null | null | dags/exercise2.py | Fabricc/airflow-training-skeleton | 900cb12842ae0035d97d6bdec23541462335def3 | [
"Apache-2.0"
] | null | null | null | """Example DAG demonstrating the usage of the BashOperator."""
from datetime import timedelta
import airflow
from airflow.models import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.dummy_operator import DummyOperator
args = {
"owner": "Airflow",
"start_date": airflow.ut... | 27.490909 | 75 | 0.71164 |
from datetime import timedelta
import airflow
from airflow.models import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.dummy_operator import DummyOperator
args = {
"owner": "Airflow",
"start_date": airflow.utils.dates.days_ago(2),
}
dag = DAG(
dag_id="my_second_dag"... | true | true |
1c011f6587dc03fdf4bbe6fd220b58519681176e | 1,792 | py | Python | app/main.py | JCkshone/ueb-affine | 5e26f0b9875e3351dcccdf769b3f01b04a111a09 | [
"MIT"
] | null | null | null | app/main.py | JCkshone/ueb-affine | 5e26f0b9875e3351dcccdf769b3f01b04a111a09 | [
"MIT"
] | null | null | null | app/main.py | JCkshone/ueb-affine | 5e26f0b9875e3351dcccdf769b3f01b04a111a09 | [
"MIT"
] | null | null | null | from fastapi import FastAPI
from pydantic import BaseModel
from typing import Optional
from app.affine.Affine import executeFact, encrypt_text, get_force_keys, build_decrypt_text, \
normalize_msg, build_decrypt_text_with_keys, force_decrypt
app = FastAPI()
class KeysModel(BaseModel):
a: int
b: int
cla... | 31.438596 | 117 | 0.72433 | from fastapi import FastAPI
from pydantic import BaseModel
from typing import Optional
from app.affine.Affine import executeFact, encrypt_text, get_force_keys, build_decrypt_text, \
normalize_msg, build_decrypt_text_with_keys, force_decrypt
app = FastAPI()
class KeysModel(BaseModel):
a: int
b: int
cla... | true | true |
1c012001d2625e5d33131b1fff19b474e16fc36c | 6,885 | py | Python | kubernetes/client/models/v1_pod_list.py | mariusgheorghies/python | 68ac7e168963d8b5a81dc493b1973d29e903a15b | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1_pod_list.py | mariusgheorghies/python | 68ac7e168963d8b5a81dc493b1973d29e903a15b | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1_pod_list.py | mariusgheorghies/python | 68ac7e168963d8b5a81dc493b1973d29e903a15b | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v1.20.7
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
fr... | 33.42233 | 312 | 0.619172 |
import pprint
import re
import six
from kubernetes.client.configuration import Configuration
class V1PodList(object):
openapi_types = {
'api_version': 'str',
'items': 'list[V1Pod]',
'kind': 'str',
'metadata': 'V1ListMeta'
}
attribute_map = {
'api_version': '... | true | true |
1c01200983c56094fae89b81235d3942267a941e | 29,036 | py | Python | c7n/resources/redshift.py | troylar/cloud-custodian | dd1b72bcdc2eef75ef88b9af3d88cb6e739b7293 | [
"Apache-2.0"
] | null | null | null | c7n/resources/redshift.py | troylar/cloud-custodian | dd1b72bcdc2eef75ef88b9af3d88cb6e739b7293 | [
"Apache-2.0"
] | null | null | null | c7n/resources/redshift.py | troylar/cloud-custodian | dd1b72bcdc2eef75ef88b9af3d88cb6e739b7293 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016-2017 Capital One Services, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 32.661417 | 83 | 0.581829 | from __future__ import absolute_import, division, print_function, unicode_literals
import functools
import json
import logging
import itertools
from botocore.exceptions import ClientError
from concurrent.futures import as_completed
from c7n.actions import ActionRegistry, BaseAction, ModifyVpcSecurityGroupsAction
fro... | true | true |
1c01207a23336bc9d045b9a5236b5a1b32b1a490 | 1,564 | py | Python | pyexcel_ods3/__init__.py | vinraspa/pyexcel-ods3 | 2a63df15a340ab38d857159c7b75224091b2098a | [
"BSD-3-Clause"
] | 64 | 2016-01-10T12:13:03.000Z | 2022-02-05T09:14:21.000Z | pyexcel_ods3/__init__.py | vinraspa/pyexcel-ods3 | 2a63df15a340ab38d857159c7b75224091b2098a | [
"BSD-3-Clause"
] | 26 | 2016-01-11T09:47:14.000Z | 2022-02-23T13:37:32.000Z | pyexcel_ods3/__init__.py | vinraspa/pyexcel-ods3 | 2a63df15a340ab38d857159c7b75224091b2098a | [
"BSD-3-Clause"
] | 16 | 2016-01-10T12:13:08.000Z | 2021-09-27T11:47:41.000Z | """
pyexcel_ods3
~~~~~~~~~~~~~~~~~~~
The lower level ods file format handler using ezodf
:copyright: (c) 2015-2017 by Onni Software Ltd & its contributors
:license: New BSD License
"""
# flake8: noqa
from pyexcel_io.io import get_data as read_data
from pyexcel_io.io import isstream
from pyexcel_i... | 30.666667 | 75 | 0.726343 |
from pyexcel_io.io import get_data as read_data
from pyexcel_io.io import isstream
from pyexcel_io.io import store_data as write_data
from pyexcel_io.plugins import IOPluginInfoChain, IOPluginInfoChainV2
__FILE_TYPE__ = "ods"
IOPluginInfoChainV2(__name__).add_a_reader(
relative_plugin_class_path="odsr.ODSBook",
... | true | true |
1c01213e104ac35f001624ef2646b57f11d6bd13 | 8,812 | py | Python | esmvaltool/diag_scripts/cvdp/cvdp_wrapper.py | cffbots/ESMValTool | a9b6592a02f2085634a214ff5f36a736fa18ff47 | [
"Apache-2.0"
] | 148 | 2017-02-07T13:16:03.000Z | 2022-03-26T02:21:56.000Z | esmvaltool/diag_scripts/cvdp/cvdp_wrapper.py | cffbots/ESMValTool | a9b6592a02f2085634a214ff5f36a736fa18ff47 | [
"Apache-2.0"
] | 2,026 | 2017-02-03T12:57:13.000Z | 2022-03-31T15:11:51.000Z | esmvaltool/diag_scripts/cvdp/cvdp_wrapper.py | cffbots/ESMValTool | a9b6592a02f2085634a214ff5f36a736fa18ff47 | [
"Apache-2.0"
] | 113 | 2017-01-27T13:10:19.000Z | 2022-02-03T13:42:11.000Z | """wrapper diagnostic for the NCAR CVDP (p)ackage."""
import logging
import os
import re
import shutil
import subprocess
from esmvaltool.diag_scripts.shared import (group_metadata, run_diagnostic)
from esmvaltool.diag_scripts.shared import ProvenanceLogger
logger = logging.getLogger(os.path.basename(__file__))
clas... | 27.886076 | 79 | 0.570586 | import logging
import os
import re
import shutil
import subprocess
from esmvaltool.diag_scripts.shared import (group_metadata, run_diagnostic)
from esmvaltool.diag_scripts.shared import ProvenanceLogger
logger = logging.getLogger(os.path.basename(__file__))
class DiagnosticError(Exception):
def setup_driver(cfg):... | true | true |
1c0121bacf8db73f145856faf365791454754a9e | 454 | py | Python | data/scripts/templates/object/static/particle/shared_pt_light_streetlamp_green.py | obi-two/GameServer | 7d37024e2291a97d49522610cd8f1dbe5666afc2 | [
"MIT"
] | 20 | 2015-02-23T15:11:56.000Z | 2022-03-18T20:56:48.000Z | data/scripts/templates/object/static/particle/shared_pt_light_streetlamp_green.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | null | null | null | data/scripts/templates/object/static/particle/shared_pt_light_streetlamp_green.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | 20 | 2015-04-04T16:35:59.000Z | 2022-03-24T14:54:37.000Z | #### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def create(kernel):
result = Static()
result.template = "object/static/particle/shared_pt_light_streetlamp_green.iff"
result.attribute_templat... | 26.705882 | 80 | 0.731278 |
from swgpy.object import *
def create(kernel):
result = Static()
result.template = "object/static/particle/shared_pt_light_streetlamp_green.iff"
result.attribute_template_id = -1
result.stfName("obj_n","unknown_object")
return result | true | true |
1c0122746b21a2350d0dde3014b0777010e09cd6 | 6,027 | py | Python | octopus/arch/evm/cfg.py | SillyTin/octopus | 5ad30f4affaa209a6ccc03c406c41c820dab62dc | [
"MIT"
] | 212 | 2018-06-29T10:13:42.000Z | 2020-02-16T07:55:47.000Z | octopus/arch/evm/cfg.py | b-mueller/octopus | 249f2afa37859bf645bc0251502ac104c4b37ec7 | [
"MIT"
] | 12 | 2018-07-05T08:50:12.000Z | 2020-01-16T08:41:49.000Z | octopus/arch/evm/cfg.py | b-mueller/octopus | 249f2afa37859bf645bc0251502ac104c4b37ec7 | [
"MIT"
] | 34 | 2018-06-28T11:49:02.000Z | 2020-02-05T07:42:33.000Z | from octopus.analysis.cfg import CFG
from octopus.analysis.graph import CFGGraph
from octopus.core.function import Function
from octopus.core.basicblock import BasicBlock
from octopus.arch.evm.disassembler import EvmDisassembler
import json
import os
from logging import getLogger
logging = getLogger(__name__)
SIGN... | 31.06701 | 97 | 0.585366 | from octopus.analysis.cfg import CFG
from octopus.analysis.graph import CFGGraph
from octopus.core.function import Function
from octopus.core.basicblock import BasicBlock
from octopus.arch.evm.disassembler import EvmDisassembler
import json
import os
from logging import getLogger
logging = getLogger(__name__)
SIGN... | true | true |
1c0125d44c5945d1567536e8a5641f4feebc2504 | 2,469 | py | Python | var/spack/repos/builtin/packages/py-poetry/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 3 | 2021-09-29T02:14:40.000Z | 2022-01-27T20:50:36.000Z | var/spack/repos/builtin/packages/py-poetry/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 8 | 2022-02-28T11:30:18.000Z | 2022-03-23T19:34:56.000Z | var/spack/repos/builtin/packages/py-poetry/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyPoetry(PythonPackage):
"""Python dependency management and packaging made easy."""
... | 56.113636 | 100 | 0.629405 |
from spack import *
class PyPoetry(PythonPackage):
homepage = "https://python-poetry.org/"
pypi = "poetry/poetry-1.1.12.tar.gz"
version('1.1.12', sha256='5c66e2357fe37b552462a88b7d31bfa2ed8e84172208becd666933c776252567')
depends_on('python@2.7,3.5:3', type=('build', 'run'))
depends_on('py-... | true | true |
1c0127278c6d0ec7999fdb4846d0bc34999e42a3 | 3,959 | py | Python | pymatgen/alchemy/tests/test_transmuters.py | JiQi535/pymatgen | 9dc1a8e3658da846e79c25d55c399c13ec25646b | [
"MIT"
] | null | null | null | pymatgen/alchemy/tests/test_transmuters.py | JiQi535/pymatgen | 9dc1a8e3658da846e79c25d55c399c13ec25646b | [
"MIT"
] | null | null | null | pymatgen/alchemy/tests/test_transmuters.py | JiQi535/pymatgen | 9dc1a8e3658da846e79c25d55c399c13ec25646b | [
"MIT"
] | 1 | 2020-10-20T02:09:02.000Z | 2020-10-20T02:09:02.000Z | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
import os
import unittest
import warnings
from pymatgen.alchemy.filters import ContainsSpecieFilter
from pymatgen.alchemy.transmuters import CifTransmuter, PoscarTransmuter
from pymatgen.transformations.advan... | 34.12931 | 93 | 0.60874 |
import os
import unittest
import warnings
from pymatgen.alchemy.filters import ContainsSpecieFilter
from pymatgen.alchemy.transmuters import CifTransmuter, PoscarTransmuter
from pymatgen.transformations.advanced_transformations import SuperTransformation
from pymatgen.transformations.standard_transformations import ... | true | true |
1c01278197df30b5dfe90447da15e98d16fad503 | 27,795 | py | Python | homeassistant/components/light/mqtt.py | dauden1184/home-assistant | f4c6d389b77d0efa86644e76604eaea5d21abdb5 | [
"Apache-2.0"
] | 1 | 2021-04-08T06:02:25.000Z | 2021-04-08T06:02:25.000Z | homeassistant/components/light/mqtt.py | dauden1184/home-assistant | f4c6d389b77d0efa86644e76604eaea5d21abdb5 | [
"Apache-2.0"
] | 1 | 2022-03-12T01:05:00.000Z | 2022-03-12T01:05:00.000Z | homeassistant/components/light/mqtt.py | dauden1184/home-assistant | f4c6d389b77d0efa86644e76604eaea5d21abdb5 | [
"Apache-2.0"
] | 1 | 2019-04-16T14:07:20.000Z | 2019-04-16T14:07:20.000Z | """
Support for MQTT lights.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/light.mqtt/
"""
import logging
import voluptuous as vol
from homeassistant.core import callback
from homeassistant.components import mqtt, light
from homeassistant.components.l... | 40.814978 | 79 | 0.645979 | import logging
import voluptuous as vol
from homeassistant.core import callback
from homeassistant.components import mqtt, light
from homeassistant.components.light import (
ATTR_BRIGHTNESS, ATTR_COLOR_TEMP, ATTR_EFFECT, ATTR_HS_COLOR,
ATTR_WHITE_VALUE, Light, SUPPORT_BRIGHTNESS, SUPPORT_COLOR_TEMP,
SUPPO... | true | true |
1c0127a9604361007ac7d35f52388c31a9910e4a | 12,972 | py | Python | config/build.py | scudette/grr | d4257c5259af881e28a7d62e9837fa13352e2bf6 | [
"Apache-2.0"
] | 6 | 2015-04-03T02:25:28.000Z | 2021-11-17T21:42:59.000Z | config/build.py | defaultnamehere/grr | ba1648b97a76f844ffb8e1891cc9e2680f9b1c6e | [
"Apache-2.0"
] | null | null | null | config/build.py | defaultnamehere/grr | ba1648b97a76f844ffb8e1891cc9e2680f9b1c6e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""Configuration parameters for client builder and server packaging."""
import os
import time
from grr.lib import config_lib
from grr.lib import rdfvalue
from grr.lib import type_info
# Windows Memory driver information.
config_lib.DEFINE_string("MemoryDriver.driver_service_name",
... | 34.5 | 80 | 0.676611 | import os
import time
from grr.lib import config_lib
from grr.lib import rdfvalue
from grr.lib import type_info
config_lib.DEFINE_string("MemoryDriver.driver_service_name",
"Pmem",
"The SCCM service name for the driver.")
config_lib.DEFINE_string("MemoryDriver.drive... | true | true |
1c0128351e10983aaa58d7f554e6593cc3b0cc55 | 27,507 | py | Python | fuzzers/007-timing/bel/tim2json.py | betrusted-io/prjxray | bdb876caec1385953821bc8b5f28ac395c944ebe | [
"ISC"
] | null | null | null | fuzzers/007-timing/bel/tim2json.py | betrusted-io/prjxray | bdb876caec1385953821bc8b5f28ac395c944ebe | [
"ISC"
] | null | null | null | fuzzers/007-timing/bel/tim2json.py | betrusted-io/prjxray | bdb876caec1385953821bc8b5f28ac395c944ebe | [
"ISC"
] | null | null | null | #!/usr/bin/env python3
import argparse
import json
def check_sequential(speed_model):
# combinational path models do not contain
# the following keywords
timing_keywords = {
'setup': 'setup',
'remov': 'removal',
'hold': 'hold',
'recov': 'recovery',
'removal': 'remo... | 40.570796 | 136 | 0.479223 |
import argparse
import json
def check_sequential(speed_model):
timing_keywords = {
'setup': 'setup',
'remov': 'removal',
'hold': 'hold',
'recov': 'recovery',
'removal': 'removal',
'recovery': 'recovery'
}
tmp = speed_model.split('_')
for keyword... | true | true |
1c0129ae5f7fcd2465be2e564a8f2b024da7b4a0 | 1,639 | py | Python | backend/db/create.py | Dangandy/covid | 2c8b9f4ab365c5b460e7d7e28273d7966e382b77 | [
"MIT"
] | 2 | 2020-04-22T13:28:18.000Z | 2021-09-24T08:07:00.000Z | backend/db/create.py | Dangandy/covid | 2c8b9f4ab365c5b460e7d7e28273d7966e382b77 | [
"MIT"
] | 4 | 2020-04-27T21:07:08.000Z | 2022-02-10T01:40:33.000Z | backend/db/create.py | Dangandy/covid | 2c8b9f4ab365c5b460e7d7e28273d7966e382b77 | [
"MIT"
] | null | null | null | # 3rd party imports
from datetime import datetime, timedelta
import requests
# local imports
from model import db, Stat
class Create:
def __init__(self):
# variables
self.url = "https://pomber.github.io/covid19/timeseries.json"
def extract(self):
# get json data
response = re... | 23.084507 | 73 | 0.533862 | from datetime import datetime, timedelta
import requests
from model import db, Stat
class Create:
def __init__(self):
self.url = "https://pomber.github.io/covid19/timeseries.json"
def extract(self):
response = requests.get(self.url)
json = response.json()
... | true | true |
1c012bcd2d5706fbf1209ad4fe3b7cc1835c4429 | 5,901 | py | Python | allennlp_optuna/commands/tune.py | himkt/optuna-allennlp-subcommand | 8d907e46e4424c8f0c67819c7cdef3a4a84e9698 | [
"MIT"
] | null | null | null | allennlp_optuna/commands/tune.py | himkt/optuna-allennlp-subcommand | 8d907e46e4424c8f0c67819c7cdef3a4a84e9698 | [
"MIT"
] | null | null | null | allennlp_optuna/commands/tune.py | himkt/optuna-allennlp-subcommand | 8d907e46e4424c8f0c67819c7cdef3a4a84e9698 | [
"MIT"
] | null | null | null | """
The `train` subcommand can be used to train a model.
It requires a configuration file and a directory in
which to write the results.
"""
import argparse
import json
import logging
import os
from functools import partial
import optuna
from allennlp.commands.subcommand import Subcommand
from optuna import Trial
fro... | 30.107143 | 117 | 0.601932 |
import argparse
import json
import logging
import os
from functools import partial
import optuna
from allennlp.commands.subcommand import Subcommand
from optuna import Trial
from optuna.integration import AllenNLPExecutor
from overrides import overrides
logger = logging.getLogger(__name__)
def tune(args: argparse.... | true | true |
1c012c7e26824207edda716d42e1584a961747d9 | 517 | py | Python | hansberger/users/admin.py | 097475/hansberger | bb4ba1cbc410e7242a12f841e447b4d68f4298f6 | [
"MIT"
] | 1 | 2019-04-03T13:44:38.000Z | 2019-04-03T13:44:38.000Z | hansberger/users/admin.py | 097475/hansberger | bb4ba1cbc410e7242a12f841e447b4d68f4298f6 | [
"MIT"
] | 4 | 2020-06-06T00:19:57.000Z | 2022-03-11T23:56:24.000Z | hansberger/users/admin.py | 097475/hansberger | bb4ba1cbc410e7242a12f841e447b4d68f4298f6 | [
"MIT"
] | 2 | 2019-04-17T09:23:32.000Z | 2019-05-03T10:38:16.000Z | from django.contrib import admin
from django.contrib.auth import admin as auth_admin
from django.contrib.auth import get_user_model
from hansberger.users.forms import UserChangeForm, UserCreationForm
User = get_user_model()
@admin.register(User)
class UserAdmin(auth_admin.UserAdmin):
form = UserChangeForm
... | 28.722222 | 83 | 0.748549 | from django.contrib import admin
from django.contrib.auth import admin as auth_admin
from django.contrib.auth import get_user_model
from hansberger.users.forms import UserChangeForm, UserCreationForm
User = get_user_model()
@admin.register(User)
class UserAdmin(auth_admin.UserAdmin):
form = UserChangeForm
... | true | true |
1c012ce095da8fcd6a563f2ad06242e6ed6da1d6 | 3,356 | py | Python | train.py | wjy199708/my_point_painting | 32dd845b08a94e222e913471e42e9d9e128ba213 | [
"Apache-2.0"
] | 1 | 2021-03-05T02:52:16.000Z | 2021-03-05T02:52:16.000Z | train.py | wjy199708/my_point_painting | 32dd845b08a94e222e913471e42e9d9e128ba213 | [
"Apache-2.0"
] | 3 | 2020-11-22T12:20:05.000Z | 2021-03-12T08:50:47.000Z | train.py | wjy199708/my_point_painting | 32dd845b08a94e222e913471e42e9d9e128ba213 | [
"Apache-2.0"
] | 1 | 2021-03-05T03:23:55.000Z | 2021-03-05T03:23:55.000Z | import torch
import copy
from model import SSD, MultiBoxLoss
from dataset import KittiDataset
from torch.utils.data import DataLoader
import time
def train_model(model, dataloaders, criterion, optimizer, num_epochs=1):
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
since = time.time()... | 39.482353 | 126 | 0.585221 | import torch
import copy
from model import SSD, MultiBoxLoss
from dataset import KittiDataset
from torch.utils.data import DataLoader
import time
def train_model(model, dataloaders, criterion, optimizer, num_epochs=1):
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
since = time.time()... | true | true |
1c012d149c2cca8f677e018a2f2ea304c9890d6f | 523 | py | Python | insrunner/colors.py | MatejKastak/insrunner | 6c99b7c4c6768003ea5822d03b916f2f17ee5900 | [
"MIT"
] | null | null | null | insrunner/colors.py | MatejKastak/insrunner | 6c99b7c4c6768003ea5822d03b916f2f17ee5900 | [
"MIT"
] | null | null | null | insrunner/colors.py | MatejKastak/insrunner | 6c99b7c4c6768003ea5822d03b916f2f17ee5900 | [
"MIT"
] | null | null | null | # Colors support
# Author: Matej Kastak
class Color:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
BLACK = '\u001b[30m'
RED = '\u001b[31m'
GREEN = '\u001b[32m'
... | 20.115385 | 34 | 0.523901 |
class Color:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
BLACK = '\u001b[30m'
RED = '\u001b[31m'
GREEN = '\u001b[32m'
YELLOW = '\u001b[33m'
BLUE = '\u001b... | true | true |
1c012f928bd52942a89b57a42811305e6b59b7d5 | 318 | py | Python | utils/__init__.py | DewMaple/head_box | 27ac90511344bfa75b340d1db960365e9eb148c7 | [
"Apache-2.0",
"MIT"
] | null | null | null | utils/__init__.py | DewMaple/head_box | 27ac90511344bfa75b340d1db960365e9eb148c7 | [
"Apache-2.0",
"MIT"
] | null | null | null | utils/__init__.py | DewMaple/head_box | 27ac90511344bfa75b340d1db960365e9eb148c7 | [
"Apache-2.0",
"MIT"
] | null | null | null | from distutils.version import LooseVersion
import tensorflow as tf
TENSORFLOW_VERSION = LooseVersion(tf.__version__)
def tf_concat(axis, values, **kwargs):
if TENSORFLOW_VERSION >= LooseVersion('1.0'):
return tf.concat(values, axis, **kwargs)
else:
return tf.concat(axis, values, **kwargs)
| 24.461538 | 49 | 0.713836 | from distutils.version import LooseVersion
import tensorflow as tf
TENSORFLOW_VERSION = LooseVersion(tf.__version__)
def tf_concat(axis, values, **kwargs):
if TENSORFLOW_VERSION >= LooseVersion('1.0'):
return tf.concat(values, axis, **kwargs)
else:
return tf.concat(axis, values, **kwargs)
| true | true |
1c013108080a96845e1bcc9f69bdb45ba1a70b38 | 6,124 | py | Python | sdk/python/pulumi_azure_nextgen/network/v20200501/get_route_table.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/network/v20200501/get_route_table.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/network/v20200501/get_route_table.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** 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
from ... import _utilities, _tables
from... | 35.398844 | 174 | 0.647616 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
__all__ = [
'GetRouteTableResult',
'AwaitableGetRouteTableResult',
'get_route_table',
]
@pulumi.output_type
class GetRouteTableResult:
... | true | true |
1c013109ed625d211e8b9d9a8939031062aafa0b | 3,504 | py | Python | ofagent/loxi/of14/util.py | sathishms77/test | bf8df6fc16c41720c7d99ed1ff17a64b543e9672 | [
"Apache-2.0"
] | 72 | 2017-01-18T02:36:34.000Z | 2022-02-12T15:28:30.000Z | ofagent/loxi/of14/util.py | sathishms77/test | bf8df6fc16c41720c7d99ed1ff17a64b543e9672 | [
"Apache-2.0"
] | 11 | 2017-03-03T17:56:09.000Z | 2022-02-11T03:38:03.000Z | ofagent/loxi/of14/util.py | sathishms77/test | bf8df6fc16c41720c7d99ed1ff17a64b543e9672 | [
"Apache-2.0"
] | 120 | 2017-02-02T23:26:11.000Z | 2022-03-13T05:30:23.000Z | # Copyright 2017-present Open Networking Foundation
#
# 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 agr... | 25.576642 | 92 | 0.62871 |
import struct
import loxi
import const
import common
import action
import instruction
import oxm
import action_id
import instruction_id
import meter_band
def pretty_mac(mac):
return ':'.join(["%02x" % x for x in mac])
def pretty_ipv4(v):
return "%d.%d.%d.%d" % ((v >> 24) & 0xFF, (v >> 16) & 0xFF, (v >> 8) & ... | false | true |
1c01311c73ef1a36fa3e09de0c0d7d95e605b037 | 268 | py | Python | club_crm/club_crm/doctype/club_services_category/club_services_category.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | club_crm/club_crm/doctype/club_services_category/club_services_category.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | club_crm/club_crm/doctype/club_services_category/club_services_category.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2021, Blue Lynx and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
# import frappe
from frappe.model.document import Document
class ClubServicesCategory(Document):
pass
| 24.363636 | 49 | 0.779851 |
from __future__ import unicode_literals
from frappe.model.document import Document
class ClubServicesCategory(Document):
pass
| true | true |
1c01316a93ab192788f7164f4ac60dd013516ca6 | 149 | py | Python | pgu/__init__.py | danomagnum/fallingsand | b2b16637e85f9e4b0c0acd67f4be3ac504d8fd00 | [
"MIT"
] | null | null | null | pgu/__init__.py | danomagnum/fallingsand | b2b16637e85f9e4b0c0acd67f4be3ac504d8fd00 | [
"MIT"
] | 1 | 2018-11-21T04:50:57.000Z | 2018-11-21T04:50:57.000Z | pgu/__init__.py | danomagnum/fallingsand | b2b16637e85f9e4b0c0acd67f4be3ac504d8fd00 | [
"MIT"
] | null | null | null | """PGU is a collection of modules for writing games with PyGame.
* gui - A module for creating widget-based interfaces
"""
__version__ = '0.16'
| 14.9 | 64 | 0.711409 |
__version__ = '0.16'
| true | true |
1c013475eb080c070a1641ea3af88027e274513b | 9,633 | py | Python | glance/registry/db/migrate_repo/versions/012_id_to_uuid.py | rcbops/glance-buildpackage | 13e52178fb25d6062db6c7fad9df122d279320ab | [
"Apache-2.0"
] | 2 | 2015-09-30T09:43:37.000Z | 2017-06-26T14:36:21.000Z | glance/registry/db/migrate_repo/versions/012_id_to_uuid.py | rcbops/glance-buildpackage | 13e52178fb25d6062db6c7fad9df122d279320ab | [
"Apache-2.0"
] | null | null | null | glance/registry/db/migrate_repo/versions/012_id_to_uuid.py | rcbops/glance-buildpackage | 13e52178fb25d6062db6c7fad9df122d279320ab | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2011 OpenStack LLC.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/... | 33.447917 | 78 | 0.630229 |
import copy
import migrate
import sqlalchemy
import glance.common.utils
meta = sqlalchemy.MetaData()
def upgrade(migrate_engine):
meta.bind = migrate_engine
t_images = _get_table('images', meta)
t_image_members = _get_table('image_members', meta)
t_image_properties = _get_table('image_propertie... | true | true |
1c0134e6db1deb561f99ea1325cf81328c975b65 | 1,249 | py | Python | scripts/comicsherpa.py | littauer/dosagetest | 731e02e750780cf7d85a8428333758bb6a9443be | [
"MIT"
] | null | null | null | scripts/comicsherpa.py | littauer/dosagetest | 731e02e750780cf7d85a8428333758bb6a9443be | [
"MIT"
] | null | null | null | scripts/comicsherpa.py | littauer/dosagetest | 731e02e750780cf7d85a8428333758bb6a9443be | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2004-2008 Tristan Seligmann and Jonathan Jacobs
# Copyright (C) 2012-2014 Bastian Kleineidam
# Copyright (C) 2015-2017 Tobias Gruetzmacher
"""
Script to get a list of ComicSherpa and save the info in a JSON file for
further processing.
"""
from __future__ im... | 27.152174 | 87 | 0.627702 | from __future__ import absolute_import, division, print_function
from scriptutil import ComicListUpdater
class ComicSherpaUpdater(ComicListUpdater):
excluded_comics = (
'Pi',
'Rufus',
'BeneathTheFerns',
'BillyAndCo',
'BuffaloChips',
'Crawdiddy'... | true | true |
1c01352481b48b59704d1b92592869568405549a | 841 | py | Python | setup.py | rubsal/muDIC | f884da36eae03633efd017db67955f93ef8e93c8 | [
"MIT"
] | 7 | 2021-01-17T13:16:22.000Z | 2021-12-24T02:51:38.000Z | setup.py | rubsal/muDIC | f884da36eae03633efd017db67955f93ef8e93c8 | [
"MIT"
] | null | null | null | setup.py | rubsal/muDIC | f884da36eae03633efd017db67955f93ef8e93c8 | [
"MIT"
] | 4 | 2020-05-03T16:28:42.000Z | 2021-03-12T19:34:29.000Z | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="muDIC",
version="0.1.2",
author="PolymerGuy",
author_email="sindre.n.olufsen@ntnu.no",
description="A digital image correlation toolkit",
long_description=long_description,
long_de... | 24.735294 | 54 | 0.586207 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="muDIC",
version="0.1.2",
author="PolymerGuy",
author_email="sindre.n.olufsen@ntnu.no",
description="A digital image correlation toolkit",
long_description=long_description,
long_de... | true | true |
1c0135266d4b4d1d4d6851449e87d924ac0fe87b | 1,892 | py | Python | divergence_measures/mmd.py | cvsubmittemp/BraVL | 784e3df6a8b6cf9f19bd28d0e0a2d21eede47ebd | [
"MIT"
] | 3 | 2021-05-06T18:29:09.000Z | 2022-01-13T03:23:25.000Z | divergence_measures/mmd.py | cvsubmittemp/BraVL | 784e3df6a8b6cf9f19bd28d0e0a2d21eede47ebd | [
"MIT"
] | 1 | 2022-02-02T07:49:59.000Z | 2022-02-16T08:16:20.000Z | divergence_measures/mmd.py | thomassutter/MoPoE | 477a441ecb6c735a0b8af4d643fe3ac04c58171f | [
"MIT"
] | 2 | 2021-05-13T02:20:42.000Z | 2022-03-30T04:05:43.000Z | def mmd_loss(z_tilde, z, z_var):
r"""Calculate maximum mean discrepancy described in the WAE paper.
Args:
z_tilde (Tensor): samples from deterministic non-random encoder Q(Z|X).
2D Tensor(batch_size x dimension).
z (Tensor): samples from prior distributions. same shape with z_tilde.
... | 44 | 107 | 0.682875 | def mmd_loss(z_tilde, z, z_var):
assert z_tilde.size() == z.size()
assert z.ndimension() == 2
n = z.size(0)
im_kernel_z_z = im_kernel_sum(z, z, z_var, exclude_diag=True).div(n*(n-1))
im_kernel_ztilde_ztilde = im_kernel_sum(z_tilde, z_tilde, z_var, exclude_diag=True).div(n*(n-1))
im_kernel_z_zti... | true | true |
1c0135f2ff8758aae9c0da5228d2d98afcf840e6 | 7,487 | py | Python | superbench/benchmarks/micro_benchmarks/tcp_connectivity.py | yangpanMS/superbenchmark | 4d85630abba0fe45b8cd3a51e79c15e6ac87a1e6 | [
"MIT"
] | 59 | 2021-04-12T09:44:23.000Z | 2022-03-27T14:33:46.000Z | superbench/benchmarks/micro_benchmarks/tcp_connectivity.py | yangpanMS/superbenchmark | 4d85630abba0fe45b8cd3a51e79c15e6ac87a1e6 | [
"MIT"
] | 275 | 2021-03-29T06:40:34.000Z | 2022-03-30T07:35:49.000Z | superbench/benchmarks/micro_benchmarks/tcp_connectivity.py | yangpanMS/superbenchmark | 4d85630abba0fe45b8cd3a51e79c15e6ac87a1e6 | [
"MIT"
] | 24 | 2021-04-09T12:42:27.000Z | 2022-03-16T08:26:34.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
"""Module of the TCP connectivity benchmarks."""
import tcping
from joblib import Parallel, delayed
from superbench.common.utils import logger
from superbench.benchmarks import BenchmarkRegistry, ReturnCode
from superbench.benchmarks.micro_benc... | 37.064356 | 117 | 0.573127 |
import tcping
from joblib import Parallel, delayed
from superbench.common.utils import logger
from superbench.benchmarks import BenchmarkRegistry, ReturnCode
from superbench.benchmarks.micro_benchmarks import MicroBenchmark
def run_tcping(host, port, count, timeout):
ping_obj = tcping.Ping(host, port, timeout)... | true | true |
1c0136f26fe9bade7a4533b28384c52dedc52231 | 2,187 | py | Python | base_model.py | akjindal53244/text_classification_hierarchical_cnn | ac6de211cc8f0004279a86c435b4904e8884ed52 | [
"Apache-2.0"
] | 7 | 2017-12-07T04:12:57.000Z | 2019-03-20T09:19:59.000Z | base_model.py | akjindal53244/text_classification_hierarchical_cnn | ac6de211cc8f0004279a86c435b4904e8884ed52 | [
"Apache-2.0"
] | 1 | 2017-12-07T14:55:33.000Z | 2018-11-18T16:52:47.000Z | base_model.py | akjindal53244/text_classification_hierarchical_cnn | ac6de211cc8f0004279a86c435b4904e8884ed52 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
class Model(object):
"""Abstracts a Tensorflow graph for a learning task.
We use various Model classes as usual abstractions to encapsulate tensorflow
computational graphs. Each algorithm you will construct in this homework will
inherit from a Model object.
"""
def a... | 33.646154 | 90 | 0.682213 | import tensorflow as tf
class Model(object):
"""Abstracts a Tensorflow graph for a learning task.
We use various Model classes as usual abstractions to encapsulate tensorflow
computational graphs. Each algorithm you will construct in this homework will
inherit from a Model object.
"""
def a... | false | true |
1c01392cc3d7b6daafacb3a52387ae24ba387730 | 15,929 | py | Python | tests/integration/goldens/asset/google/cloud/asset_v1/services/asset_service/pagers.py | Kache/gapic-generator-python | dcfcb32a60ac6243932304d757e7ef86008d5729 | [
"Apache-2.0"
] | null | null | null | tests/integration/goldens/asset/google/cloud/asset_v1/services/asset_service/pagers.py | Kache/gapic-generator-python | dcfcb32a60ac6243932304d757e7ef86008d5729 | [
"Apache-2.0"
] | null | null | null | tests/integration/goldens/asset/google/cloud/asset_v1/services/asset_service/pagers.py | Kache/gapic-generator-python | dcfcb32a60ac6243932304d757e7ef86008d5729 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 41.590078 | 95 | 0.672924 | from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator
from google.cloud.asset_v1.types import asset_service
from google.cloud.asset_v1.types import assets
class ListAssetsPager:
def __init__(self,
method: Callable[..., asset_service.ListAssetsResponse],
... | true | true |
1c01393440f6ce03b7cce8e52d363725bab04231 | 622 | py | Python | setup.py | zcutlip/py-dict-repr | 823bf255a6c7a40fa42e7e319831b1c2dc6d0635 | [
"MIT"
] | null | null | null | setup.py | zcutlip/py-dict-repr | 823bf255a6c7a40fa42e7e319831b1c2dc6d0635 | [
"MIT"
] | null | null | null | setup.py | zcutlip/py-dict-repr | 823bf255a6c7a40fa42e7e319831b1c2dc6d0635 | [
"MIT"
] | null | null | null | from setuptools import setup
about = {}
with open("py_dict_repr/__about__.py") as fp:
exec(fp.read(), about)
with open("README.md", "r") as fp:
long_description = fp.read()
setup(name='py-dict-repr',
version=about["__version__"],
description=about["__summary__"],
long_description=long_descri... | 28.272727 | 52 | 0.654341 | from setuptools import setup
about = {}
with open("py_dict_repr/__about__.py") as fp:
exec(fp.read(), about)
with open("README.md", "r") as fp:
long_description = fp.read()
setup(name='py-dict-repr',
version=about["__version__"],
description=about["__summary__"],
long_description=long_descri... | true | true |
1c0139d93dce716487e6bbfe24bd2944f26893a8 | 2,815 | py | Python | scripts/radlab-installer/terraform_installer.py | Floosey/rad-lab | 7748b88cf9be3e8049458bb5204e68639021a290 | [
"Apache-2.0"
] | null | null | null | scripts/radlab-installer/terraform_installer.py | Floosey/rad-lab | 7748b88cf9be3e8049458bb5204e68639021a290 | [
"Apache-2.0"
] | null | null | null | scripts/radlab-installer/terraform_installer.py | Floosey/rad-lab | 7748b88cf9be3e8049458bb5204e68639021a290 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
'''
Copyright 2021 Google LLC
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in ... | 38.561644 | 450 | 0.662167 |
import os
import platform
import requests
from bs4 import BeautifulSoup
def main():
system = platform.system().lower()
machine = platform.machine().lower()
url = 'https://www.terraform.io/downloads.html'
reqs = requests.get(url)
soup = BeautifulSoup(reqs.text, 'html.parser')
if('darw... | true | true |
1c013a27eb734e5e3e8b5f318aed5210cc67065f | 1,835 | py | Python | aiotdlib/api/functions/send_payment_form.py | jraylan/aiotdlib | 4528fcfca7c5c69b54a878ce6ce60e934a2dcc73 | [
"MIT"
] | 37 | 2021-05-04T10:41:41.000Z | 2022-03-30T13:48:05.000Z | aiotdlib/api/functions/send_payment_form.py | jraylan/aiotdlib | 4528fcfca7c5c69b54a878ce6ce60e934a2dcc73 | [
"MIT"
] | 13 | 2021-07-17T19:54:51.000Z | 2022-02-26T06:50:00.000Z | aiotdlib/api/functions/send_payment_form.py | jraylan/aiotdlib | 4528fcfca7c5c69b54a878ce6ce60e934a2dcc73 | [
"MIT"
] | 7 | 2021-09-22T21:27:11.000Z | 2022-02-20T02:33:19.000Z | # =============================================================================== #
# #
# This file has been generated automatically!! Do not change this manually! #
# ... | 34.622642 | 93 | 0.581471 | from __future__ import annotations
from pydantic import Field
from ..base_object import BaseObject
from ..types import InputCredentials
class SendPaymentForm(BaseObject):
ID: str = Field("sendPaymentForm", alias="@type")
chat_id: int
message_id: int
payment_form_id: int
order_info_id: str
s... | true | true |
1c013a62ab9ea4739ae5f4d5d014b2914db0250d | 3,636 | py | Python | Reuters/metrics.py | dheeraj7596/SCDV | e83fc81e1b59bebfa2fa1e334097caa44f9e7f48 | [
"MIT"
] | 60 | 2017-05-25T14:08:50.000Z | 2022-02-04T19:29:44.000Z | Reuters/metrics.py | vgupta123/SCDV | 329b13a413318262f1888d872d8e33b30217cbc7 | [
"MIT"
] | 2 | 2020-03-27T14:01:12.000Z | 2020-07-16T14:33:31.000Z | Reuters/metrics.py | vgupta123/SCDV | 329b13a413318262f1888d872d8e33b30217cbc7 | [
"MIT"
] | 19 | 2017-11-10T01:06:28.000Z | 2021-09-25T19:31:25.000Z | import time
import pandas as pd
import numpy as np
import math
import sys
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MultiLabelBinarizer
from pandas import DataFrame
from sklearn.multiclass import OneVsRestClassifier
from sklearn.linear_model import LogisticRegression
from sk... | 33.981308 | 137 | 0.65099 | import time
import pandas as pd
import numpy as np
import math
import sys
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MultiLabelBinarizer
from pandas import DataFrame
from sklearn.multiclass import OneVsRestClassifier
from sklearn.linear_model import LogisticRegression
from sk... | true | true |
1c013af4381884eeadc75cc427cf5b5adc535284 | 2,485 | py | Python | read_tweets.py | rwsharp/statement_collector | 610780d7c6d207d876bfdb1b1b310aba9ce9c934 | [
"MIT"
] | null | null | null | read_tweets.py | rwsharp/statement_collector | 610780d7c6d207d876bfdb1b1b310aba9ce9c934 | [
"MIT"
] | null | null | null | read_tweets.py | rwsharp/statement_collector | 610780d7c6d207d876bfdb1b1b310aba9ce9c934 | [
"MIT"
] | null | null | null | import json
import tweepy
import sys
import os.path
import argparse
import datetime
def get_file_name(data_path, file_name, create_path=False, warn=False):
# check the data path and file
data_file_name = os.path.join(data_path, file_name)
if create_path:
if not os.path.isdir(data_path):
... | 32.272727 | 120 | 0.608048 | import json
import tweepy
import sys
import os.path
import argparse
import datetime
def get_file_name(data_path, file_name, create_path=False, warn=False):
data_file_name = os.path.join(data_path, file_name)
if create_path:
if not os.path.isdir(data_path):
if not os.path.exists(data_p... | false | true |
1c013af98e51c8cfa36f2b636f8e1b88dff7eaef | 8,678 | py | Python | src/azure-cli/azure/cli/command_modules/network/private_link_resource_and_endpoint_connections/custom.py | mourackb/azure-cli | c40194fe2868eed04f9391e581ed865a382e2eaa | [
"MIT"
] | 1 | 2022-02-18T00:16:46.000Z | 2022-02-18T00:16:46.000Z | src/azure-cli/azure/cli/command_modules/network/private_link_resource_and_endpoint_connections/custom.py | mourackb/azure-cli | c40194fe2868eed04f9391e581ed865a382e2eaa | [
"MIT"
] | null | null | null | src/azure-cli/azure/cli/command_modules/network/private_link_resource_and_endpoint_connections/custom.py | mourackb/azure-cli | c40194fe2868eed04f9391e581ed865a382e2eaa | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 61.546099 | 170 | 0.729776 |
from knack.util import CLIError
from .resource_providers import GeneralPrivateEndpointClient
from .resource_providers.batch_provider import BatchPrivateEndpointClient
TYPE_CLIENT_MAPPING = {
'Microsoft.Batch/batchAccounts': BatchPrivateEndpointClient
}
def register_providers():
_register_one_provider(... | true | true |
1c013b1a285f800b4a8b7d885ee5fce8660fa4c0 | 1,124 | py | Python | zabbix-whois-check.py | Arkasian/zabbix-whois-expiry | 600df3ce5d33fbc88c4ce7d8bea223e61b5c8964 | [
"WTFPL"
] | null | null | null | zabbix-whois-check.py | Arkasian/zabbix-whois-expiry | 600df3ce5d33fbc88c4ce7d8bea223e61b5c8964 | [
"WTFPL"
] | null | null | null | zabbix-whois-check.py | Arkasian/zabbix-whois-expiry | 600df3ce5d33fbc88c4ce7d8bea223e61b5c8964 | [
"WTFPL"
] | null | null | null | #!/usr/bin/env python3
# checks when a domain is going to expire
# and sends the time to zabbix
# new version that reads from a json file
import sys
import os
import json
import whois
from pyzabbix import ZabbixMetric, ZabbixSender
wwwhost = sys.argv[1]
dir_path = os.path.dirname(os.path.realpath(__file__))
with op... | 31.222222 | 123 | 0.631673 |
import sys
import os
import json
import whois
from pyzabbix import ZabbixMetric, ZabbixSender
wwwhost = sys.argv[1]
dir_path = os.path.dirname(os.path.realpath(__file__))
with open(dir_path+'/whois/'+wwwhost+'.json', 'r') as read_file:
domains = json.load(read_file)
for domain in domains['domains']:
try:... | false | true |
1c013cf25b8a542fc90cbf72e6b0c32077f1457e | 92,595 | py | Python | 11_stream/archive/spark/spark/spark-2.4.6-bin-without-hadoop/python/pyspark/sql/dataframe.py | dpai/workshop | d4936da77dac759ba2bac95a9584fde8e86c6b2b | [
"Apache-2.0"
] | 2,327 | 2020-03-01T09:47:34.000Z | 2021-11-25T12:38:42.000Z | 11_stream/archive/spark/spark/spark-2.4.6-bin-without-hadoop/python/pyspark/sql/dataframe.py | trideau/Data-Science-with-AWS-Workshop | 7dbe7989fa99e88544da8bf262beec907c536093 | [
"Apache-2.0"
] | 209 | 2020-03-01T17:14:12.000Z | 2021-11-08T20:35:42.000Z | 11_stream/archive/spark/spark/spark-2.4.6-bin-without-hadoop/python/pyspark/sql/dataframe.py | trideau/Data-Science-with-AWS-Workshop | 7dbe7989fa99e88544da8bf262beec907c536093 | [
"Apache-2.0"
] | 686 | 2020-03-03T17:24:51.000Z | 2021-11-25T23:39:12.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 39.020228 | 100 | 0.573109 |
import sys
import random
if sys.version >= '3':
basestring = unicode = str
long = int
from functools import reduce
from html import escape as html_escape
else:
from itertools import imap as map
from cgi import escape as html_escape
from collections import Counter
import warnings
from pyspark... | true | true |
1c013e19b8cfc362437cb5f7b2fa088e2400b025 | 1,896 | py | Python | src/aspectize/aspectize.py | amogorkon/aspectize | ee414f220c81f19de0c31f7391aaf6ff4f75097f | [
"MIT"
] | null | null | null | src/aspectize/aspectize.py | amogorkon/aspectize | ee414f220c81f19de0c31f7391aaf6ff4f75097f | [
"MIT"
] | null | null | null | src/aspectize/aspectize.py | amogorkon/aspectize | ee414f220c81f19de0c31f7391aaf6ff4f75097f | [
"MIT"
] | null | null | null |
import re
from enum import Flag
from inspect import isclass, isfunction, ismethod, ismodule
from time import monotonic
try:
import q # type: ignore
except ImportError:
q = print
ASPECT = Flag("Aspect", "property_set property_get property_del class function method")
last_called = 0
def logged(func):
de... | 32.689655 | 94 | 0.565401 |
import re
from enum import Flag
from inspect import isclass, isfunction, ismethod, ismodule
from time import monotonic
try:
import q except ImportError:
q = print
ASPECT = Flag("Aspect", "property_set property_get property_del class function method")
last_called = 0
def logged(func):
def wrapper(*args... | true | true |
1c013e38611a3c8da5b833a1656113a7262cd4b3 | 9,182 | py | Python | data/gdb-pre7.0/mono-gdb.py | lefb766/mono | 4f458a4ff72bc6c5e07f82aec9040d355cbb8f5c | [
"Apache-2.0"
] | 469 | 2019-01-23T12:21:59.000Z | 2022-03-10T15:50:42.000Z | data/gdb-pre7.0/mono-gdb.py | lefb766/mono | 4f458a4ff72bc6c5e07f82aec9040d355cbb8f5c | [
"Apache-2.0"
] | 83 | 2015-07-16T01:31:41.000Z | 2016-01-13T02:15:47.000Z | data/gdb-pre7.0/mono-gdb.py | lefb766/mono | 4f458a4ff72bc6c5e07f82aec9040d355cbb8f5c | [
"Apache-2.0"
] | 36 | 2019-01-23T22:17:09.000Z | 2022-01-20T15:41:34.000Z | #
# Author: Zoltan Varga (vargaz@gmail.com)
# License: MIT/X11
#
#
# This is a mono support mode for a python-enabled gdb:
# http://sourceware.org/gdb/wiki/PythonGdb
# Usage:
# - copy/symlink this file, plus mono-gdbinit to the directory where the mono
# executable lives.
# - run mono under gdb, or attach to a mono... | 36.875502 | 174 | 0.578414 |
from __future__ import print_function
import os
class StringPrinter:
"Print a C# string"
def __init__(self, val):
self.val = val
def to_string(self):
if int(self.val.cast (gdb.lookup_type ("guint64"))) == 0:
return "null"
obj = self.val.cast (gdb.lookup_type ("MonoS... | false | true |
1c013efe94217e44feed1429c8f10f2d332fe49d | 466 | py | Python | tests/system/test_base.py | hmschreck/netbeat | 1e4ea96740b5dfe3248ef82a60f29ce7802a380c | [
"Apache-2.0"
] | 1 | 2021-06-02T18:27:25.000Z | 2021-06-02T18:27:25.000Z | tests/system/test_base.py | hmschreck/netbeat | 1e4ea96740b5dfe3248ef82a60f29ce7802a380c | [
"Apache-2.0"
] | null | null | null | tests/system/test_base.py | hmschreck/netbeat | 1e4ea96740b5dfe3248ef82a60f29ce7802a380c | [
"Apache-2.0"
] | 1 | 2020-12-01T16:19:33.000Z | 2020-12-01T16:19:33.000Z | from netbeat import BaseTest
import os
class Test(BaseTest):
def test_base(self):
"""
Basic test with exiting Netbeat normally
"""
self.render_config_template(
path=os.path.abspath(self.working_dir) + "/log/*"
)
netbeat_proc = self.start_beat()
... | 23.3 | 72 | 0.622318 | from netbeat import BaseTest
import os
class Test(BaseTest):
def test_base(self):
self.render_config_template(
path=os.path.abspath(self.working_dir) + "/log/*"
)
netbeat_proc = self.start_beat()
self.wait_until(lambda: self.log_contains("netbeat is running"))
... | true | true |
1c0141221fb50f349f6d7f48fcca0605b1061c29 | 6,207 | py | Python | venv/lib/python3.8/site-packages/spaceone/api/statistics/plugin/storage_pb2_grpc.py | choonho/plugin-prometheus-mon-webhook | afa7d65d12715fd0480fb4f92a9c62da2d6128e0 | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.8/site-packages/spaceone/api/statistics/plugin/storage_pb2_grpc.py | choonho/plugin-prometheus-mon-webhook | afa7d65d12715fd0480fb4f92a9c62da2d6128e0 | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.8/site-packages/spaceone/api/statistics/plugin/storage_pb2_grpc.py | choonho/plugin-prometheus-mon-webhook | afa7d65d12715fd0480fb4f92a9c62da2d6128e0 | [
"Apache-2.0"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
from spaceone.api.statistics.plugin import storage_pb2 as spaceone_dot_api_dot_statis... | 46.320896 | 129 | 0.693572 | import grpc
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
from spaceone.api.statistics.plugin import storage_pb2 as spaceone_dot_api_dot_statistics_dot_plugin_dot_storage__pb2
class StorageStub(object):
def __init__(self, channel):
self.init = channel.unary_unary(
... | true | true |
1c0141c60e6991c9ab9f5e09dbdd90c744bcf77f | 5,032 | py | Python | SLAM/robot_class.py | trivediavinash/Landmark-Detection-And-Tracking-System | 997bc60db74068f8d3e07ba34daacc8e1df66b3a | [
"MIT"
] | null | null | null | SLAM/robot_class.py | trivediavinash/Landmark-Detection-And-Tracking-System | 997bc60db74068f8d3e07ba34daacc8e1df66b3a | [
"MIT"
] | null | null | null | SLAM/robot_class.py | trivediavinash/Landmark-Detection-And-Tracking-System | 997bc60db74068f8d3e07ba34daacc8e1df66b3a | [
"MIT"
] | null | null | null | from math import *
import random
### ------------------------------------- ###
# Below, is the robot class
#
# This robot lives in 2D, x-y space, and its motion is
# pointed in a random direction, initially.
# It moves in a straight line until it comes close to a wall
# at which point it stops.
#
# For m... | 41.245902 | 111 | 0.600159 | from math import *
import random
class robot:
def __init__(self, world_size = 100.0, measurement_range = 30.0,
motion_noise = 1.0, measurement_noise = 1.0):
self.measurement_noise = 0.0
self.world_size = world_size
self.measurement_range ... | true | true |
1c0142441ac43d25ecc9bd0532d5c10a52964ebb | 945 | py | Python | gallery/ising-square-tc/plot.py | todo-group/exact | ee76421fab9b2b1eaf77d6b01830a18e66f7180a | [
"Apache-2.0"
] | 1 | 2021-07-27T14:45:49.000Z | 2021-07-27T14:45:49.000Z | gallery/ising-square-tc/plot.py | todo-group/exact | ee76421fab9b2b1eaf77d6b01830a18e66f7180a | [
"Apache-2.0"
] | 1 | 2018-11-30T14:48:41.000Z | 2018-11-30T14:48:41.000Z | gallery/ising-square-tc/plot.py | todo-group/exact | ee76421fab9b2b1eaf77d6b01830a18e66f7180a | [
"Apache-2.0"
] | null | null | null | import math
import matplotlib.pyplot as plt
filename = "result-p15.dat"
with open(filename, 'r') as f:
for line in f:
data = line.split()
if (data[0] == "inf"):
free_energy_inf = float(data[6])
energy_inf = float(data[7])
L = []
free_energy = []
energy = []
with open(filen... | 25.540541 | 90 | 0.6 | import math
import matplotlib.pyplot as plt
filename = "result-p15.dat"
with open(filename, 'r') as f:
for line in f:
data = line.split()
if (data[0] == "inf"):
free_energy_inf = float(data[6])
energy_inf = float(data[7])
L = []
free_energy = []
energy = []
with open(filen... | true | true |
1c0142e94160d63688513f4426b6b38016f86415 | 3,404 | py | Python | wat/wat.py | brandons209/FlapJack-Cogs | 9a959d27b543b5e4ad321979f1c80fbff7556a02 | [
"MIT"
] | null | null | null | wat/wat.py | brandons209/FlapJack-Cogs | 9a959d27b543b5e4ad321979f1c80fbff7556a02 | [
"MIT"
] | null | null | null | wat/wat.py | brandons209/FlapJack-Cogs | 9a959d27b543b5e4ad321979f1c80fbff7556a02 | [
"MIT"
] | null | null | null | import os
import re
from redbot.core import checks, Config, commands
class Wat(command.Cog):
"""Repeat messages when other users are having trouble hearing"""
default_global_settings = {
"channels_ignored": [],
"guilds_ignored": []
}
def __init__(self, bot):
self.bot = bot
... | 35.831579 | 81 | 0.564336 | import os
import re
from redbot.core import checks, Config, commands
class Wat(command.Cog):
default_global_settings = {
"channels_ignored": [],
"guilds_ignored": []
}
def __init__(self, bot):
self.bot = bot
self.conf = Config.get_conf(self, identifier=527690525)
... | true | true |
1c01439a361f79ffd0b0eb65c25e1d209c8fb45b | 4,602 | py | Python | pydifact/message.py | qwyk/pydifact | ccb8907e443764c3ae981b4642ef1db3b0c81c7f | [
"MIT"
] | null | null | null | pydifact/message.py | qwyk/pydifact | ccb8907e443764c3ae981b4642ef1db3b0c81c7f | [
"MIT"
] | null | null | null | pydifact/message.py | qwyk/pydifact | ccb8907e443764c3ae981b4642ef1db3b0c81c7f | [
"MIT"
] | null | null | null | # Pydifact - a python edifact library
#
# Copyright (c) 2019 Christian González
#
# 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 rights ... | 35.129771 | 97 | 0.669709 |
import collections
from pydifact.parser import Parser
from pydifact.segments import Segment
from pydifact.serializer import Serializer
from pydifact.control import Characters
import codecs
class Message:
def __init__(self):
self.segments = []
self.has_una_segment = False
... | true | true |
1c014462410882f9ef829e29876dab14bb172fec | 5,753 | py | Python | pysigview/core/source_manager.py | ICRC-BME/PySigView | 8ac60960dea0e5c70757c76545a896c76a95f68d | [
"Apache-2.0"
] | 1 | 2021-03-26T12:48:49.000Z | 2021-03-26T12:48:49.000Z | pysigview/core/source_manager.py | ICRC-BME/PySigView | 8ac60960dea0e5c70757c76545a896c76a95f68d | [
"Apache-2.0"
] | 39 | 2018-09-06T21:32:54.000Z | 2020-10-12T09:04:52.000Z | pysigview/core/source_manager.py | ICRC-BME/PySigView | 8ac60960dea0e5c70757c76545a896c76a95f68d | [
"Apache-2.0"
] | 2 | 2019-12-24T02:57:47.000Z | 2022-02-28T22:22:09.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 22 13:14:09 2017
Ing.,Mgr. (MSc.) Jan Cimbálník, PhD.
Biomedical engineering
International Clinical Research Center
St. Anne's University Hospital in Brno
Czech Republic
&
Mayo systems electrophysiology lab
Mayo Clinic
200 1st St SW
Rochester, MN
Un... | 24.377119 | 79 | 0.54024 |
import numpy as np
class DataMap:
def __init__(self):
super(DataMap, self).__init__()
self._map = np.array([], dtype=[('channels', object),
('ch_set', np.bool),
('uutc_ss', np.int64, 2)])
def __getitem__(self... | true | true |
1c0144bee1f129e2e883facbba1effdfb225ae44 | 6,773 | py | Python | telethon/events/userupdate.py | yeung1704/Telethon | 4562ba9ccfb1aef33facd5ca1a2675705d390e1c | [
"MIT"
] | null | null | null | telethon/events/userupdate.py | yeung1704/Telethon | 4562ba9ccfb1aef33facd5ca1a2675705d390e1c | [
"MIT"
] | null | null | null | telethon/events/userupdate.py | yeung1704/Telethon | 4562ba9ccfb1aef33facd5ca1a2675705d390e1c | [
"MIT"
] | null | null | null | import datetime
from .common import EventBuilder, EventCommon, name_inner_event
from ..tl import types
@name_inner_event
class UserUpdate(EventBuilder):
"""
Represents a user update (gone online, offline, joined Telegram).
"""
@classmethod
def build(cls, update):
if isinstance(update, typ... | 38.925287 | 79 | 0.544367 | import datetime
from .common import EventBuilder, EventCommon, name_inner_event
from ..tl import types
@name_inner_event
class UserUpdate(EventBuilder):
@classmethod
def build(cls, update):
if isinstance(update, types.UpdateUserStatus):
event = cls.Event(update.user_id,
... | true | true |
1c014510cdebb4fbc4c70db7e785dc4375d391ca | 194 | py | Python | Python/Grocery Shop.py | hakerarena/OS-SRM-eLab | 06bf4e8eba79efe1f7cb493c14bb5e6fe84a58b3 | [
"MIT"
] | 5 | 2020-05-17T11:47:05.000Z | 2022-03-20T13:29:20.000Z | Python/Grocery Shop.py | hakerarena/OS-SRM-eLab | 06bf4e8eba79efe1f7cb493c14bb5e6fe84a58b3 | [
"MIT"
] | 1 | 2020-05-18T11:49:44.000Z | 2020-05-18T12:06:42.000Z | Python/Grocery Shop.py | hakerarena/OS-SRM-eLab | 06bf4e8eba79efe1f7cb493c14bb5e6fe84a58b3 | [
"MIT"
] | 4 | 2020-04-21T05:21:52.000Z | 2021-09-19T06:21:35.000Z | item=input()
cost=float(input())
quant=int(input())
print("Product Details")
print(item)
print(cost)
print(quant)
print("Bill:",round((cost*quant),2))
#Code by hakerarenatutorials.wordpress.com
| 19.4 | 42 | 0.742268 | item=input()
cost=float(input())
quant=int(input())
print("Product Details")
print(item)
print(cost)
print(quant)
print("Bill:",round((cost*quant),2))
| true | true |
1c014548a86cd23347e66b7ff4dd7e4c2094f7c8 | 2,533 | py | Python | test/Dask/test_Dask_numpy.py | Lyncs-API/lyncs.io | 9925435f29a2ffbdcffaaab9a1fff24a831b84ea | [
"BSD-3-Clause"
] | null | null | null | test/Dask/test_Dask_numpy.py | Lyncs-API/lyncs.io | 9925435f29a2ffbdcffaaab9a1fff24a831b84ea | [
"BSD-3-Clause"
] | 15 | 2021-03-28T09:20:54.000Z | 2022-03-24T17:18:16.000Z | test/Dask/test_Dask_numpy.py | Lyncs-API/lyncs.io | 9925435f29a2ffbdcffaaab9a1fff24a831b84ea | [
"BSD-3-Clause"
] | 1 | 2021-07-19T10:48:28.000Z | 2021-07-19T10:48:28.000Z | import os
import numpy
from lyncs_utils import prod
import lyncs_io as io
from lyncs_io.testing import (
client,
dtype_loop,
shape_loop,
workers_loop,
chunksize_loop,
tempdir,
generate_rand_arr,
mark_dask,
)
try:
import dask.array as da
except ImportError:
pass
@mark_dask
@d... | 23.896226 | 78 | 0.673115 | import os
import numpy
from lyncs_utils import prod
import lyncs_io as io
from lyncs_io.testing import (
client,
dtype_loop,
shape_loop,
workers_loop,
chunksize_loop,
tempdir,
generate_rand_arr,
mark_dask,
)
try:
import dask.array as da
except ImportError:
pass
@mark_dask
@d... | true | true |
1c0145f63ec19d5ef2209de5955c01a80c6f2fc3 | 123 | py | Python | solutions/codeforces/228A.py | forxhunter/ComputingIntro | 50fa2ac030748626c694ec5c884c5ac32f0b42a8 | [
"Apache-2.0"
] | 1 | 2021-01-02T04:31:34.000Z | 2021-01-02T04:31:34.000Z | solutions/codeforces/228A.py | forxhunter/ComputingIntro | 50fa2ac030748626c694ec5c884c5ac32f0b42a8 | [
"Apache-2.0"
] | null | null | null | solutions/codeforces/228A.py | forxhunter/ComputingIntro | 50fa2ac030748626c694ec5c884c5ac32f0b42a8 | [
"Apache-2.0"
] | null | null | null | '''
Is your horseshoe on the other hoof?
'''
colors = set(map(int, input().split(' ')))
left = 4 - len(colors)
print(left)
| 17.571429 | 42 | 0.626016 | colors = set(map(int, input().split(' ')))
left = 4 - len(colors)
print(left)
| true | true |
1c01462e7e439e5f78236cd19180d281eb8be904 | 335 | py | Python | NPTEL-Course-Lecture Programmes/Colorpicker.py | Slow-Rain/NPTEL-The-Joy-of-Computing-using-Python | e4bd830ef7a3f171a14a88f94df626c766a7649b | [
"MIT"
] | 29 | 2021-01-25T16:13:17.000Z | 2022-03-23T16:34:06.000Z | NPTEL-Course-Lecture Programmes/Colorpicker.py | Slow-Rain/NPTEL-The-Joy-of-Computing-using-Python | e4bd830ef7a3f171a14a88f94df626c766a7649b | [
"MIT"
] | 12 | 2021-02-11T13:47:07.000Z | 2021-10-10T04:26:45.000Z | NPTEL-Course-Lecture Programmes/Colorpicker.py | Slow-Rain/NPTEL-The-Joy-of-Computing-using-Python | e4bd830ef7a3f171a14a88f94df626c766a7649b | [
"MIT"
] | 30 | 2021-02-10T05:54:31.000Z | 2022-02-25T11:24:36.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 22 16:33:53 2021
@author: Lakhan Kumawat
"""
#here we will write a program to pick a RGB format from an image
#import image library from PIL
from PIL import Image as i
im=i.open("RGB-Format.png");
rgb_im=im.convert('RGB')
r,g,b=rgb_im.getpixel((150,1))
... | 18.611111 | 65 | 0.650746 |
from PIL import Image as i
im=i.open("RGB-Format.png");
rgb_im=im.convert('RGB')
r,g,b=rgb_im.getpixel((150,1))
print(r,g,b)
| true | true |
1c01464f6e04c7cff9e9ebc3bcaeac23c3712578 | 4,799 | py | Python | docs/conf.py | volodymyrss/bibtags | 2716759824330221db957942e3902685bf159887 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | volodymyrss/bibtags | 2716759824330221db957942e3902685bf159887 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | volodymyrss/bibtags | 2716759824330221db957942e3902685bf159887 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# bibtags documentation build configuration file, created by
# sphinx-quickstart on Fri Jun 9 13:47:02 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All... | 29.441718 | 77 | 0.685351 |
import os
import sys
sys.path.insert(0, os.path.abspath('..'))
import bibtags
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.viewcode']
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
project = 'bibtags'
copyright = "2019, Volodymyr SAVCHENKO"
author = "Volodymyr SAVCHENKO"
# for ... | true | true |
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