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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70ed4d4893404d136e150e76527e68e303195838 | 5,871 | py | Python | substrate_uptake_kinetics.py | Chaowu88/zymomonas_modeling | 90d0c9c3b081c1e2421321c77d3ddffa2ea02bba | [
"MIT"
] | null | null | null | substrate_uptake_kinetics.py | Chaowu88/zymomonas_modeling | 90d0c9c3b081c1e2421321c77d3ddffa2ea02bba | [
"MIT"
] | null | null | null | substrate_uptake_kinetics.py | Chaowu88/zymomonas_modeling | 90d0c9c3b081c1e2421321c77d3ddffa2ea02bba | [
"MIT"
] | null | null | null | #!/usr/bin/env pyhton
# -*- coding: UTF-8 -*-
__author__ = 'Chao Wu'
__date__ = '05/25/2020'
__version__ = '1.0'
r'''
This script estimates the kinetic parameters of glucose facilitator protein (glf) which transports both glucose and xylose with competitive inhibition of each other
Usage:
python path\to\substrate... | 31.395722 | 165 | 0.648612 |
39d06f11ff733db3b39a5406178f2f84020a092d | 1,916 | py | Python | source/plot_theta_time.py | raj-krishnan/SDES_project_pendulum_with_friction | 6f24614914d58d8912346b43bd7e1faa925574f8 | [
"Apache-2.0"
] | null | null | null | source/plot_theta_time.py | raj-krishnan/SDES_project_pendulum_with_friction | 6f24614914d58d8912346b43bd7e1faa925574f8 | [
"Apache-2.0"
] | null | null | null | source/plot_theta_time.py | raj-krishnan/SDES_project_pendulum_with_friction | 6f24614914d58d8912346b43bd7e1faa925574f8 | [
"Apache-2.0"
] | null | null | null | import numpy
from matplotlib import pyplot as plt
from matplotlib import lines as mlines
from oscillator import Oscillator
def plot_underdamped_pendulum():
pendulum = Oscillator(alpha=0.8, radius=1)
time_steps = 400
time_max = 10.0
time = numpy.linspace(0, time_max, time_steps + 1)
plt.axes(xlim... | 33.034483 | 77 | 0.682672 |
233f929ef4916a2646b4a6885abdd38c1ed77ec1 | 533 | py | Python | pythontutorials/Udacity/CS101/Lesson 05 - How to Repeat/Q19-More Friends.py | JoseALermaIII/python-tutorials | 9d6cb78beec0bb55e27c49da1217317ba4d5f4fc | [
"MIT"
] | 2 | 2017-04-20T02:57:19.000Z | 2018-10-12T20:15:47.000Z | pythontutorials/Udacity/CS101/Lesson 05 - How to Repeat/Q19-More Friends.py | JoseALermaIII/python-tutorials | 9d6cb78beec0bb55e27c49da1217317ba4d5f4fc | [
"MIT"
] | 8 | 2021-03-18T21:50:16.000Z | 2022-03-11T23:38:01.000Z | pythontutorials/Udacity/CS101/Lesson 05 - How to Repeat/Q19-More Friends.py | JoseALermaIII/python-tutorials | 9d6cb78beec0bb55e27c49da1217317ba4d5f4fc | [
"MIT"
] | 3 | 2018-08-30T20:30:50.000Z | 2022-01-18T13:40:51.000Z | # Define a procedure, is_friend, that takes
# a string as its input, and returns a
# Boolean indicating if the input string
# is the name of a friend. Assume
# I am friends with everyone whose name
# starts with either 'D' or 'N', but no one
# else. You do not need to check for
# lower case 'd' or 'n'
def is_friend(na... | 21.32 | 43 | 0.649156 |
bc9902e6a5d99a78c9befe2d892f997baaf50bc7 | 17,948 | py | Python | neutron/services/qos/qos_plugin.py | kklimonda/neutron | ccdddad358a4bf802d59b3fbbfe88a1e9881c96c | [
"Apache-2.0"
] | 4 | 2018-08-05T00:43:03.000Z | 2021-10-13T00:45:45.000Z | neutron/services/qos/qos_plugin.py | kklimonda/neutron | ccdddad358a4bf802d59b3fbbfe88a1e9881c96c | [
"Apache-2.0"
] | 8 | 2018-06-14T14:50:16.000Z | 2018-11-13T16:30:42.000Z | neutron/services/qos/qos_plugin.py | kklimonda/neutron | ccdddad358a4bf802d59b3fbbfe88a1e9881c96c | [
"Apache-2.0"
] | 7 | 2018-06-12T18:57:04.000Z | 2019-05-09T15:42:30.000Z | # Copyright (c) 2015 Red Hat Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required... | 40.790909 | 79 | 0.657622 |
4d47bff40784994c85806fe1fe3bf479090628d9 | 13,352 | py | Python | models/mobile_net_v3.py | chuliuT/MobileNet_V3_SSD.pytorch | f28e38fd197e8eff72346dc70f2b8430111edac1 | [
"MIT"
] | 4 | 2020-04-01T02:17:04.000Z | 2022-01-16T07:17:28.000Z | models/mobile_net_v3.py | chuliuT/MobileNet_V3_SSD.pytorch | f28e38fd197e8eff72346dc70f2b8430111edac1 | [
"MIT"
] | null | null | null | models/mobile_net_v3.py | chuliuT/MobileNet_V3_SSD.pytorch | f28e38fd197e8eff72346dc70f2b8430111edac1 | [
"MIT"
] | 5 | 2020-01-07T03:52:46.000Z | 2020-05-17T12:36:11.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
# from https://github.com/kuan-wang/pytorch-mobilenet-v3/blob/master/mobilenetv3.py
# modified by chuliuT
# date:2019.12.9
__all__ = ['MobileNetV3', 'mobilenetv3']
def conv_bn(inp, oup, stride, conv_layer=nn.Conv2d, norm_layer=nn.BatchNorm2d, nlin_la... | 37.296089 | 159 | 0.566058 |
7754e78d2d6ce6119ccd11287e2263ceb3f883d2 | 488 | py | Python | actioneer/errors.py | vbe0201/Actioneer | 96df066ea40d2a51b1abb4bde2504af23c2c7c82 | [
"MIT"
] | null | null | null | actioneer/errors.py | vbe0201/Actioneer | 96df066ea40d2a51b1abb4bde2504af23c2c7c82 | [
"MIT"
] | null | null | null | actioneer/errors.py | vbe0201/Actioneer | 96df066ea40d2a51b1abb4bde2504af23c2c7c82 | [
"MIT"
] | null | null | null |
class ConvertingError(Exception):
"""Raised when converting a argument failed"""
class NoClosingQuote(Exception):
"""No closing quote on your command arguments"""
class NoCommandFound(Exception):
"""No command has been found with that name"""
class AlreadyAActionWithThatName(Exception):
"""When A... | 23.238095 | 68 | 0.717213 |
eb37818c34fafcdd99d543c455e6d37b72513743 | 2,967 | py | Python | tests/utils/test_experiment.py | google/timecast | 11f01d81e240d38ff194df54bbf219e6367f3cf5 | [
"Apache-2.0"
] | 11 | 2020-07-16T15:22:38.000Z | 2021-09-23T01:08:19.000Z | tests/utils/test_experiment.py | google/timecast | 11f01d81e240d38ff194df54bbf219e6367f3cf5 | [
"Apache-2.0"
] | 3 | 2020-08-26T00:26:37.000Z | 2021-01-02T19:29:21.000Z | tests/utils/test_experiment.py | google/timecast | 11f01d81e240d38ff194df54bbf219e6367f3cf5 | [
"Apache-2.0"
] | 1 | 2020-10-13T17:07:10.000Z | 2020-10-13T17:07:10.000Z | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 24.725 | 81 | 0.601618 |
6f42e35d957f987764a9e74c3371506cb7cc89d9 | 1,761 | py | Python | hca/upload/cli/select_command.py | mshadbolt/dcp-cli | 4d844f3c3a299162c68e25e9ffc6ffe7e8bf7ce8 | [
"MIT"
] | null | null | null | hca/upload/cli/select_command.py | mshadbolt/dcp-cli | 4d844f3c3a299162c68e25e9ffc6ffe7e8bf7ce8 | [
"MIT"
] | null | null | null | hca/upload/cli/select_command.py | mshadbolt/dcp-cli | 4d844f3c3a299162c68e25e9ffc6ffe7e8bf7ce8 | [
"MIT"
] | null | null | null | from hca.upload import UploadException, UploadAreaURI, UploadConfig
from .common import UploadCLICommand
class SelectCommand(UploadCLICommand):
"""
Select upload area to which you wish to upload files.
"""
@classmethod
def add_parser(cls, upload_subparsers):
select_parser = upload_subparse... | 36.6875 | 84 | 0.626349 |
60c5320df00de17ef04dd01719df6c02f50b6f02 | 165 | py | Python | wasm/webapi/status.py | ziransun/wpt | ab8f451eb39eb198584d547f5d965ef54df2a86a | [
"BSD-3-Clause"
] | 8 | 2019-04-09T21:13:05.000Z | 2021-11-23T17:25:18.000Z | wasm/webapi/status.py | ziransun/wpt | ab8f451eb39eb198584d547f5d965ef54df2a86a | [
"BSD-3-Clause"
] | 21 | 2021-03-31T19:48:22.000Z | 2022-03-12T00:24:53.000Z | wasm/webapi/status.py | ziransun/wpt | ab8f451eb39eb198584d547f5d965ef54df2a86a | [
"BSD-3-Clause"
] | 11 | 2019-04-12T01:20:16.000Z | 2021-11-23T17:25:02.000Z | def main(request, response):
status = int(request.GET["status"])
module = b"\0asm\1\0\0\0"
return status, [("Content-Type", "application/wasm")], module
| 33 | 65 | 0.642424 |
10a1dc879a279ae21acfed4d6161e14472ade388 | 2,860 | py | Python | scripts/gen_tbtf_outputs.py | duncanmmacleod/feedstock-outputs | 5f069f6dec1f62b9053f3e2b84a1ff3bd71f646d | [
"BSD-3-Clause"
] | null | null | null | scripts/gen_tbtf_outputs.py | duncanmmacleod/feedstock-outputs | 5f069f6dec1f62b9053f3e2b84a1ff3bd71f646d | [
"BSD-3-Clause"
] | 12 | 2020-03-06T23:06:16.000Z | 2021-12-10T14:36:48.000Z | scripts/gen_tbtf_outputs.py | duncanmmacleod/feedstock-outputs | 5f069f6dec1f62b9053f3e2b84a1ff3bd71f646d | [
"BSD-3-Clause"
] | 9 | 2020-06-30T15:55:03.000Z | 2021-12-09T19:28:17.000Z | import sys
import pprint
import requests
import json
from conda_forge_tick.utils import load_graph
# 1. load the graph
gx = load_graph()
# 2. read the nodes
with open("../feedstock-outputs/scripts/tbtf_nodes.txt", "r") as fp:
tbtf_nodes = [n.strip() for n in fp.readlines()]
# 3. add things that seem to be misse... | 28.6 | 75 | 0.554545 |
98a99e3cd3a01f744c79f77faae87f39fe12070d | 14,713 | py | Python | tests/test_sql_to_python.py | nickolay/ctds | 50cd3bb993c7bea7a8a13619fcee367c6e389460 | [
"MIT"
] | null | null | null | tests/test_sql_to_python.py | nickolay/ctds | 50cd3bb993c7bea7a8a13619fcee367c6e389460 | [
"MIT"
] | null | null | null | tests/test_sql_to_python.py | nickolay/ctds | 50cd3bb993c7bea7a8a13619fcee367c6e389460 | [
"MIT"
] | null | null | null | from datetime import date, datetime, time
from binascii import hexlify, unhexlify
from decimal import Decimal
import platform
import uuid
import ctds
from .base import TestExternalDatabase
from .compat import unichr_, unicode_
class TestSQLToPython(TestExternalDatabase): # pylint: disable=too-many-public-methods
... | 28.624514 | 93 | 0.413444 |
dcc0eeb0556460922ec096f696351c2b0bc1dffe | 1,142 | py | Python | tests/utils.py | greggles/cutadapt | fb3e8f0828c2cb92bfaea69d91ffb539ab24cdd0 | [
"MIT"
] | 375 | 2015-01-16T14:04:50.000Z | 2022-03-16T02:19:43.000Z | tests/utils.py | greggles/cutadapt | fb3e8f0828c2cb92bfaea69d91ffb539ab24cdd0 | [
"MIT"
] | 589 | 2015-03-05T20:06:03.000Z | 2022-03-29T22:49:56.000Z | tests/utils.py | greggles/cutadapt | fb3e8f0828c2cb92bfaea69d91ffb539ab24cdd0 | [
"MIT"
] | 150 | 2015-02-10T12:19:40.000Z | 2022-03-25T05:06:50.000Z | import sys
import os.path
import subprocess
def datapath(path):
return os.path.join(os.path.dirname(__file__), 'data', path)
def cutpath(path):
return os.path.join(os.path.dirname(__file__), 'cut', path)
class FilesDifferent(Exception):
pass
def assert_files_equal(path1, path2, ignore_trailing_space... | 24.297872 | 79 | 0.608581 |
16fb19fbea73a10863caa6e5d20b629e41840799 | 4,820 | py | Python | test/programytest/parser/template/node_tests/test_input.py | whackur/chatbot | bb4b4dace89f1f8aae2b6377bf7d2601e66af7a7 | [
"MIT"
] | 2 | 2018-06-16T09:32:22.000Z | 2019-07-21T13:16:00.000Z | test/programytest/parser/template/node_tests/test_input.py | whackur/chatbot | bb4b4dace89f1f8aae2b6377bf7d2601e66af7a7 | [
"MIT"
] | 3 | 2020-07-16T04:00:42.000Z | 2021-03-31T18:52:22.000Z | test/programytest/parser/template/node_tests/test_input.py | whackur/chatbot | bb4b4dace89f1f8aae2b6377bf7d2601e66af7a7 | [
"MIT"
] | 4 | 2018-06-29T23:50:44.000Z | 2020-11-05T08:13:47.000Z | import xml.etree.ElementTree as ET
from programy.parser.template.nodes.base import TemplateNode
from programy.parser.template.nodes.input import TemplateInputNode
from programy.dialog.dialog import Conversation, Question
from programytest.parser.base import ParserTestsBaseClass
class MockTemplateInputNode(TemplateI... | 34.927536 | 111 | 0.689419 |
9712d7814086a89724d5c144fbc68bdff58466ae | 23,797 | py | Python | riscvmodel/insn.py | bluwireless/riscv-python-model | a5328f44e8ad82dc9bf3d7e4d6d1580ff2d18f2f | [
"MIT"
] | null | null | null | riscvmodel/insn.py | bluwireless/riscv-python-model | a5328f44e8ad82dc9bf3d7e4d6d1580ff2d18f2f | [
"MIT"
] | null | null | null | riscvmodel/insn.py | bluwireless/riscv-python-model | a5328f44e8ad82dc9bf3d7e4d6d1580ff2d18f2f | [
"MIT"
] | null | null | null | # Copyright Stefan Wallentowitz
# Licensed under the MIT License, see LICENSE for details.
# SPDX-License-Identifier: MIT
"""
Instructions
"""
from .isa import *
from .variant import *
from .model import State
@isa("lui", RV32I, opcode=0b0110111)
class InstructionLUI(InstructionUType):
"""
The Load Upper Imme... | 35.359584 | 110 | 0.67206 |
3bf87a72438832d4b0d5b9b3dc71ad4e159b810a | 2,678 | py | Python | shred-1/karatsuba10.py | farallons/shark | ab155b0f9b2ddf71d7cd70bd76f683be51c14f1f | [
"MIT"
] | null | null | null | shred-1/karatsuba10.py | farallons/shark | ab155b0f9b2ddf71d7cd70bd76f683be51c14f1f | [
"MIT"
] | null | null | null | shred-1/karatsuba10.py | farallons/shark | ab155b0f9b2ddf71d7cd70bd76f683be51c14f1f | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import argparse
import os
base_dir = os.getcwd()
join = os.path.join
exists = os.path.exists
def main(x, y, algo):
if algo:
print("algo")
product = calculate_product(x,y)
else:
print("no algo")
product = x * y
print(product)
def digits(a):
return ... | 21.772358 | 153 | 0.544436 |
b46909d434a1dee5d7ffe00f662fab1babfa05a7 | 6,366 | py | Python | d2go/utils/testing/data_loader_helper.py | apivovarov/d2go | 44e410843fb10508c911022a80f15276c76d9e60 | [
"Apache-2.0"
] | null | null | null | d2go/utils/testing/data_loader_helper.py | apivovarov/d2go | 44e410843fb10508c911022a80f15276c76d9e60 | [
"Apache-2.0"
] | null | null | null | d2go/utils/testing/data_loader_helper.py | apivovarov/d2go | 44e410843fb10508c911022a80f15276c76d9e60 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import contextlib
import itertools
import json
import os
import uuid
from d2go.data.datasets import register_dataset_split
from d2go.runner import create_runner
from detectron2.data import DatasetCatalog, MetadataCatalog
fr... | 31.205882 | 88 | 0.590638 |
ef360cc877789caa3cb7dbff692a1d1c4c571b86 | 15,498 | py | Python | deploy/determined_deploy/aws/aws.py | ryantd/determined | b4f3be3c1878a9a7fdad4775647018753b39ef21 | [
"Apache-2.0"
] | 1 | 2021-03-29T13:39:45.000Z | 2021-03-29T13:39:45.000Z | deploy/determined_deploy/aws/aws.py | ZithaChitra/determined | 1466d46dfd6abc56ad65d9904d4173ea62cff771 | [
"Apache-2.0"
] | null | null | null | deploy/determined_deploy/aws/aws.py | ZithaChitra/determined | 1466d46dfd6abc56ad65d9904d4173ea62cff771 | [
"Apache-2.0"
] | null | null | null | import sys
import time
from typing import Any, Dict, List, Optional, Tuple
import boto3
import tqdm
from botocore.exceptions import ClientError, WaiterError
from determined_deploy.aws import constants
# Try waiting for stack to delete this many times. We break up the waiting so the delete job
# will not fail CI.
NUM... | 33.044776 | 97 | 0.656085 |
5b998ac6991d1b365b4651cd6198b9eaf9da1bfc | 2,252 | py | Python | crequest.py | kendricktan/flaskrestful-custom-request | 1ffb95d1a9e066c5852879dacdd49d998f6a31e1 | [
"MIT"
] | 3 | 2017-06-11T11:53:19.000Z | 2021-09-23T20:09:56.000Z | crequest.py | kendricktan/flaskrestful-custom-request | 1ffb95d1a9e066c5852879dacdd49d998f6a31e1 | [
"MIT"
] | null | null | null | crequest.py | kendricktan/flaskrestful-custom-request | 1ffb95d1a9e066c5852879dacdd49d998f6a31e1 | [
"MIT"
] | null | null | null | import msgpack
from flask import Request, _request_ctx_stack
from flask.wrappers import _get_data
from werkzeug.exceptions import BadRequest
class RequestWithMsgPack(Request):
"""
Extending on Flask's Request class to support msgpack mimetype
"""
@property
def is_msgpack(self):
"""
... | 34.646154 | 92 | 0.619893 |
e4fe713c9a4fc6a9f7556d2e3133f1fbc7cbafa1 | 1,664 | py | Python | examples/demo.py | willwx/XDream | ee7022a35e94f00d08fdb1e49ca784fc497740c0 | [
"MIT"
] | 38 | 2019-04-19T16:37:37.000Z | 2022-02-15T21:42:24.000Z | examples/demo.py | willwx/XDream | ee7022a35e94f00d08fdb1e49ca784fc497740c0 | [
"MIT"
] | null | null | null | examples/demo.py | willwx/XDream | ee7022a35e94f00d08fdb1e49ca784fc497740c0 | [
"MIT"
] | 12 | 2019-05-01T20:29:26.000Z | 2021-04-30T07:49:25.000Z | """
Runs an experiment to maximize activity of a 'neuron,' simulated
by a unit in a CNN.
Demonstrates a high-level API: `CNNExperiment`, which is designed to simulate an
electrophysiology experiment and behaves similarly to `EphysExperiment`
"""
from pathlib import Path
import sys
sys.path.append('../xdream') ... | 38.697674 | 104 | 0.675481 |
114a9ba4999b275e79957ec7a8cdeb5f134ae4b6 | 1,422 | py | Python | python/updatePermisos.py | maestromark55/bust-radio | d3552304e9e0f551359b3a6b72f0f2bc31e863f5 | [
"Apache-2.0"
] | null | null | null | python/updatePermisos.py | maestromark55/bust-radio | d3552304e9e0f551359b3a6b72f0f2bc31e863f5 | [
"Apache-2.0"
] | null | null | null | python/updatePermisos.py | maestromark55/bust-radio | d3552304e9e0f551359b3a6b72f0f2bc31e863f5 | [
"Apache-2.0"
] | null | null | null | import urllib2
import json
import sqlite3
import os
from classes.classErrorLog import classErrorLog
import sys
current_dir = os.path.dirname(os.path.abspath(__file__))
DBpath = os.path.join(current_dir, 'RFID_Lock.sqlite')
def updateSQLite():
try:
jsonRequest = urllib2.urlopen("http://www.desa-net.com/TO... | 32.318182 | 100 | 0.531646 |
cdc4ae4db30e79a4d6ecd1b622870a863e28462e | 4,328 | py | Python | tc_images/tc_img_torch_trainer/train.py | cabukela/iorek-byrnison | a683d0e07f6de6ca568a0941ced6570feb2a6aa4 | [
"Apache-2.0"
] | 1 | 2022-03-18T11:00:18.000Z | 2022-03-18T11:00:18.000Z | tc_images/tc_img_torch_trainer/train.py | cabukela/iorek-byrnison | a683d0e07f6de6ca568a0941ced6570feb2a6aa4 | [
"Apache-2.0"
] | null | null | null | tc_images/tc_img_torch_trainer/train.py | cabukela/iorek-byrnison | a683d0e07f6de6ca568a0941ced6570feb2a6aa4 | [
"Apache-2.0"
] | 2 | 2022-03-18T11:00:21.000Z | 2022-03-30T04:08:05.000Z |
import os
import subprocess
import datetime
import fire
import torch
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
class TrainData(Dataset):
def __init__(self, X_data, y_data):
self.X_data ... | 31.136691 | 112 | 0.643253 |
325466ca8f3dfcfcc9dd0436f9a89ca16ede8d45 | 48,110 | py | Python | tests/test_fx.py | va6996/moviepy | 60b95c37816413da6bf304e85f8c0ba8e2d2c6e7 | [
"MIT"
] | null | null | null | tests/test_fx.py | va6996/moviepy | 60b95c37816413da6bf304e85f8c0ba8e2d2c6e7 | [
"MIT"
] | null | null | null | tests/test_fx.py | va6996/moviepy | 60b95c37816413da6bf304e85f8c0ba8e2d2c6e7 | [
"MIT"
] | null | null | null | """MoviePy video and audio effects tests."""
import decimal
import importlib
import math
import numbers
import os
import random
import sys
import cupy as np
import pytest
from moviepy import (
AudioClip,
AudioFileClip,
BitmapClip,
ColorClip,
VideoClip,
VideoFileClip,
)
from moviepy.audio.fx ... | 29.299635 | 87 | 0.550613 |
f43a961310e3ac52654866231f8cfac70589d42d | 36,861 | py | Python | ckan/ckanext-spatial/ckanext/spatial/model/harvested_metadata.py | lorenzoeusepi77/ckan | 3a620e9c81ba1750d12941c02184092d507f71df | [
"Apache-2.0"
] | null | null | null | ckan/ckanext-spatial/ckanext/spatial/model/harvested_metadata.py | lorenzoeusepi77/ckan | 3a620e9c81ba1750d12941c02184092d507f71df | [
"Apache-2.0"
] | null | null | null | ckan/ckanext-spatial/ckanext/spatial/model/harvested_metadata.py | lorenzoeusepi77/ckan | 3a620e9c81ba1750d12941c02184092d507f71df | [
"Apache-2.0"
] | null | null | null | from lxml import etree
import logging
log = logging.getLogger(__name__)
class MappedXmlObject(object):
elements = []
class MappedXmlDocument(MappedXmlObject):
def __init__(self, xml_str=None, xml_tree=None):
assert (xml_str or xml_tree is not None), 'Must provide some XML in one format or another'
... | 38.158385 | 225 | 0.581102 |
bb9a7f20ec0069533f783ef57ff0e95fef68986b | 174 | py | Python | tacotron/models/__init__.py | mib32/Tacotron-2 | f440b1fa41636084c78d2cae7d4c9d23e4a9d871 | [
"MIT"
] | 2,154 | 2017-12-28T08:02:58.000Z | 2022-03-30T09:14:04.000Z | tacotron/models/__init__.py | mib32/Tacotron-2 | f440b1fa41636084c78d2cae7d4c9d23e4a9d871 | [
"MIT"
] | 481 | 2018-01-24T08:50:39.000Z | 2022-02-14T01:39:00.000Z | tacotron/models/__init__.py | mib32/Tacotron-2 | f440b1fa41636084c78d2cae7d4c9d23e4a9d871 | [
"MIT"
] | 813 | 2017-12-29T02:15:01.000Z | 2022-03-31T15:49:08.000Z | from .tacotron import Tacotron
def create_model(name, hparams):
if name == 'Tacotron':
return Tacotron(hparams)
else:
raise Exception('Unknown model: ' + name)
| 19.333333 | 45 | 0.695402 |
13bbbc0bacdbdb747aea6cb03478d9fab53cfa8f | 6,485 | py | Python | sdk/python/pulumi_aws/secretsmanager/secret_policy.py | sibuthomasmathew/pulumi-aws | 6351f2182eb6f693d4e09e4136c385adfa0ab674 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/secretsmanager/secret_policy.py | sibuthomasmathew/pulumi-aws | 6351f2182eb6f693d4e09e4136c385adfa0ab674 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/secretsmanager/secret_policy.py | sibuthomasmathew/pulumi-aws | 6351f2182eb6f693d4e09e4136c385adfa0ab674 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilitie... | 41.83871 | 202 | 0.641326 |
7bfd06f39e87c395019446aa5d054957b0626892 | 5,260 | py | Python | airflow/api_connexion/exceptions.py | emilioego/airflow | 3457c7847cd24413ff5b622e65c27d8370f94502 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 79 | 2021-10-15T07:32:27.000Z | 2022-03-28T04:10:19.000Z | airflow/api_connexion/exceptions.py | emilioego/airflow | 3457c7847cd24413ff5b622e65c27d8370f94502 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 153 | 2021-10-15T05:23:46.000Z | 2022-02-23T06:07:10.000Z | airflow/api_connexion/exceptions.py | emilioego/airflow | 3457c7847cd24413ff5b622e65c27d8370f94502 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 23 | 2021-10-15T02:36:37.000Z | 2022-03-17T02:59:27.000Z | # 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 u... | 33.503185 | 110 | 0.648099 |
a8acf84ac542aeeeb76ac2ba2deb4db73a02cc26 | 7,595 | py | Python | netket/optimizer/qgt/qgt_jacobian_dense.py | pesvut/netket | 7f19574ddc567748344bb75a4ddd507578d94b0d | [
"Apache-2.0"
] | null | null | null | netket/optimizer/qgt/qgt_jacobian_dense.py | pesvut/netket | 7f19574ddc567748344bb75a4ddd507578d94b0d | [
"Apache-2.0"
] | 26 | 2021-08-06T15:27:57.000Z | 2022-03-30T16:55:18.000Z | netket/optimizer/qgt/qgt_jacobian_dense.py | pesvut/netket | 7f19574ddc567748344bb75a4ddd507578d94b0d | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The NetKet Authors - All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 32.046414 | 90 | 0.63239 |
f778b0b0bab85f0e3b1bcd83c7c18aad72a567ef | 1,598 | py | Python | test/test_list_xrp_ripple_transactions_by_block_height_r_data.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | 5 | 2021-05-17T04:45:03.000Z | 2022-03-23T12:51:46.000Z | test/test_list_xrp_ripple_transactions_by_block_height_r_data.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | null | null | null | test/test_list_xrp_ripple_transactions_by_block_height_r_data.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | 2 | 2021-06-02T07:32:26.000Z | 2022-02-12T02:36:23.000Z | """
CryptoAPIs
Crypto APIs 2.0 is a complex and innovative infrastructure layer that radically simplifies the development of any Blockchain and Crypto related applications. Organized around REST, Crypto APIs 2.0 can assist both novice Bitcoin/Ethereum enthusiasts and crypto experts with the development of thei... | 40.974359 | 484 | 0.797247 |
3bf755be2d5efd518be7e3f1a0a9da042cb72a8d | 36 | py | Python | src/__init__.py | JacksonianDemocracy/url-rewrite-tracer | 67398c5daa8f4627ca374a0db717102062f1e658 | [
"MIT"
] | null | null | null | src/__init__.py | JacksonianDemocracy/url-rewrite-tracer | 67398c5daa8f4627ca374a0db717102062f1e658 | [
"MIT"
] | null | null | null | src/__init__.py | JacksonianDemocracy/url-rewrite-tracer | 67398c5daa8f4627ca374a0db717102062f1e658 | [
"MIT"
] | null | null | null | from .tracer import UrlRewriteTracer | 36 | 36 | 0.888889 |
7ab1b0d75428beb014ccba71f433ac5755b55815 | 1,252 | py | Python | Iris_recog/iris.py | Theocrat/Iris | 5aaba5dc915f53d148106c0c6bca57e09c548d9c | [
"MIT"
] | null | null | null | Iris_recog/iris.py | Theocrat/Iris | 5aaba5dc915f53d148106c0c6bca57e09c548d9c | [
"MIT"
] | null | null | null | Iris_recog/iris.py | Theocrat/Iris | 5aaba5dc915f53d148106c0c6bca57e09c548d9c | [
"MIT"
] | null | null | null | import cv2
from PIL import Image
from numpy import zeros, arange
from matplotlib.pyplot import figure, show
from skimage.color import rgb2grey
import cv2 as cv
from sys import argv
from morph import *
from imworks import *
def iris_detect(fname):
img = cv2.imread(fname)
orig = zeros(img.shape)
for i in range(img... | 21.964912 | 71 | 0.635783 |
b06a084812cefc24ac5c06c6faf1e6adff215d59 | 5,050 | py | Python | higl/models.py | junsu-kim97/HIGL | fd8926f850552d032a6692747d1dd030ffc7ac84 | [
"MIT"
] | 7 | 2021-11-06T11:13:48.000Z | 2022-03-30T23:59:01.000Z | higl/models.py | junsu-kim97/HIGL | fd8926f850552d032a6692747d1dd030ffc7ac84 | [
"MIT"
] | 1 | 2021-11-04T13:15:23.000Z | 2021-11-04T15:06:01.000Z | higl/models.py | junsu-kim97/HIGL | fd8926f850552d032a6692747d1dd030ffc7ac84 | [
"MIT"
] | 2 | 2021-12-19T02:01:30.000Z | 2022-01-13T04:08:11.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
class Actor(nn.Module):
def __init__(self, state_dim, goal_dim, action_dim, max_action):
super(Actor, self).__init__()
self.l1 = nn.Linear(state_dim + goal_dim, 300)
self.l2 = nn.Linear(300, 300)
self.l3 = nn.Linea... | 28.370787 | 113 | 0.577426 |
8be6960de668dc19c349d211c507796db5e6d68e | 6,390 | py | Python | utils/extract_batch.py | linshoa/siamese-cnn | 2194c097c932a605582d2ee9d58ef31bfa83eaff | [
"Apache-2.0"
] | 1 | 2018-10-27T10:03:06.000Z | 2018-10-27T10:03:06.000Z | utils/extract_batch.py | linshoa/siamese-cnn | 2194c097c932a605582d2ee9d58ef31bfa83eaff | [
"Apache-2.0"
] | null | null | null | utils/extract_batch.py | linshoa/siamese-cnn | 2194c097c932a605582d2ee9d58ef31bfa83eaff | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
from random import shuffle
from utils.image_precess import *
from utils import config
"""
for DukeMTMC example：
0001_c2_f0046302.jpg--> {{'id':0001},{location:c2},{time:0046302},}
"""
name_dir = ... | 33.631579 | 119 | 0.673709 |
1eca0a0c9dc3deffe5b9b5c01c84b71468d91ec5 | 3,109 | py | Python | tests/config/test_converter.py | luciferliu/xTools | 324ef1388be13ece0d952e3929eb685212d573f1 | [
"Apache-2.0"
] | 2 | 2020-09-02T13:46:06.000Z | 2020-10-11T16:11:02.000Z | tests/config/test_converter.py | luciferliu/xTools | 324ef1388be13ece0d952e3929eb685212d573f1 | [
"Apache-2.0"
] | null | null | null | tests/config/test_converter.py | luciferliu/xTools | 324ef1388be13ece0d952e3929eb685212d573f1 | [
"Apache-2.0"
] | 4 | 2018-10-15T07:08:34.000Z | 2019-11-26T01:52:47.000Z | # -*- coding: utf-8 -*-
import textwrap
from typing import List, Dict, Optional, Union
from unittest import TestCase
from xTool.config.converter import DictConfigConverter
from xTool.codec.yaml_codec import YamlCodec
class TestDictConfigConverter(TestCase):
def test_unmarshal(self):
yaml_config = textwr... | 30.480392 | 99 | 0.389836 |
e96227646e6023c38aa7c2e6a8b3f1a46b69b211 | 2,496 | py | Python | tests/actors/test_performance.py | reapler/geckordp | 29dab2e6e691954a473e054fa95ba40a3ad10e53 | [
"MIT"
] | 1 | 2021-12-24T04:37:02.000Z | 2021-12-24T04:37:02.000Z | tests/actors/test_performance.py | jpramosi/geckordp | 29dab2e6e691954a473e054fa95ba40a3ad10e53 | [
"MIT"
] | 1 | 2021-07-23T13:38:36.000Z | 2021-08-07T14:17:54.000Z | tests/actors/test_performance.py | reapler/geckordp | 29dab2e6e691954a473e054fa95ba40a3ad10e53 | [
"MIT"
] | 1 | 2021-10-31T17:31:35.000Z | 2021-10-31T17:31:35.000Z | # pylint: disable=unused-import
import pytest
import tests.helpers.constants as constants
from tests.helpers.utils import *
from geckordp.rdp_client import RDPClient
from geckordp.actors.root import RootActor
from geckordp.actors.descriptors.tab import TabActor
from geckordp.actors.performance import PerformanceActor
f... | 24.23301 | 69 | 0.645433 |
a3d68a86f99cdb0f58b209eaa04840f7e07c2904 | 127 | py | Python | 2021/python/tests/test_day17.py | shalgrim/advent-of-code | d3bd1c9f7eeaebff4153f6fd73ef8fc32d2b1ea8 | [
"MIT"
] | null | null | null | 2021/python/tests/test_day17.py | shalgrim/advent-of-code | d3bd1c9f7eeaebff4153f6fd73ef8fc32d2b1ea8 | [
"MIT"
] | null | null | null | 2021/python/tests/test_day17.py | shalgrim/advent-of-code | d3bd1c9f7eeaebff4153f6fd73ef8fc32d2b1ea8 | [
"MIT"
] | null | null | null | from day17_1 import main as main1
def test_main1():
txt = 'target area: x=20..30, y=-10..-5'
assert main1(txt) == 45
| 18.142857 | 44 | 0.622047 |
094d6b3452d0f18e7ac597b22fa89f0ba391e4b8 | 865 | py | Python | utilities/test_chromosome.py | Platygator/visually-supervised-learning-for-robotic-manipulation | d509bc7a747622dd4d585887ba92f04843e2a531 | [
"MIT"
] | 1 | 2021-06-01T18:53:52.000Z | 2021-06-01T18:53:52.000Z | utilities/test_chromosome.py | Platygator/visually-supervised-learning-for-robotic-manipulation | d509bc7a747622dd4d585887ba92f04843e2a531 | [
"MIT"
] | 1 | 2021-02-04T10:21:49.000Z | 2021-02-04T10:21:49.000Z | utilities/test_chromosome.py | Platygator/visually-supervised-learning-for-robotic-manipulation | d509bc7a747622dd4d585887ba92f04843e2a531 | [
"MIT"
] | null | null | null | # Implementation to Test Chromosome
import os
import numpy as np
from EvaluateChromosome import evaluateChromosome
def testChromosome(x, y, z, inputFile="bestChromosome.npy"):
"""
Function to test Chromosome
Parameters
----------
x : x-position of the Hubert Robot
y :... | 27.903226 | 91 | 0.648555 |
a4b707b8aaa0b416a5bec6d1bcf0a1cf9bb4b8c6 | 17,680 | py | Python | goemotions/ppca.py | gunpowder78/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | 1 | 2022-03-13T21:48:52.000Z | 2022-03-13T21:48:52.000Z | goemotions/ppca.py | gunpowder78/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | null | null | null | goemotions/ppca.py | gunpowder78/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | 1 | 2022-03-30T07:20:29.000Z | 2022-03-30T07:20:29.000Z | # coding=utf-8
# Copyright 2022 The Google Research 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 applicab... | 33.295669 | 108 | 0.670023 |
81c978bb7282a97e03eaf94c47e7d18a842eaf7b | 5,823 | py | Python | gcn/train.py | NicolasMeseguer/gcn | 6323856b5c98e7eb59079479d2e11840e0e04fe0 | [
"MIT"
] | null | null | null | gcn/train.py | NicolasMeseguer/gcn | 6323856b5c98e7eb59079479d2e11840e0e04fe0 | [
"MIT"
] | null | null | null | gcn/train.py | NicolasMeseguer/gcn | 6323856b5c98e7eb59079479d2e11840e0e04fe0 | [
"MIT"
] | null | null | null | from __future__ import division
from __future__ import print_function
import time
import tensorflow as tf
import sys
import subprocess
from gcn.utils import *
from gcn.models import GCN, MLP
# Set random seed
seed = 123
np.random.seed(seed)
tf.set_random_seed(seed)
# Settings
flags = tf.app.flags
FLAGS = flags.FLA... | 35.506098 | 147 | 0.64417 |
0037aca82fc46cf766ae1f4c006baf28ac626176 | 12,709 | py | Python | cluster_pack/uploader.py | isabella232/cluster-pack | 0052e0e2d37a209f9983bdb8117e423f840dafa0 | [
"Apache-2.0"
] | null | null | null | cluster_pack/uploader.py | isabella232/cluster-pack | 0052e0e2d37a209f9983bdb8117e423f840dafa0 | [
"Apache-2.0"
] | 1 | 2022-02-21T12:33:11.000Z | 2022-02-21T12:33:11.000Z | cluster_pack/uploader.py | isabella232/cluster-pack | 0052e0e2d37a209f9983bdb8117e423f840dafa0 | [
"Apache-2.0"
] | null | null | null | import getpass
import hashlib
import json
import logging
import os
import sys
import pathlib
import tempfile
from typing import (
Tuple,
Dict,
Collection,
List,
Any
)
from urllib import parse, request
from pex.pex_info import PexInfo
from wheel_filename import parse_wheel_filename... | 37.937313 | 99 | 0.645527 |
ed72152785c8606b3a21daf78cf5eb64074db90b | 433 | py | Python | taskbuster/settings/tb_dev.py | bas-innovations/taskbuster_tutorial | c27c6c616e289aa960f1f87af9360340863957b2 | [
"MIT"
] | null | null | null | taskbuster/settings/tb_dev.py | bas-innovations/taskbuster_tutorial | c27c6c616e289aa960f1f87af9360340863957b2 | [
"MIT"
] | null | null | null | taskbuster/settings/tb_dev.py | bas-innovations/taskbuster_tutorial | c27c6c616e289aa960f1f87af9360340863957b2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from .base import *
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': get_env_variable('DATABASE_NAME'),
'USER': get_env_variable('DATABASE_USER'),
... | 27.0625 | 65 | 0.612009 |
0e445b0f144db9c61d97b3cb63d34e840e8046c1 | 8,271 | py | Python | tf_agents/utils/example_encoding_dataset.py | FlorisHoogenboom/agents | 2cd5a61e1838b52012271f1fb8617c29a55279a9 | [
"Apache-2.0"
] | 1 | 2021-09-22T12:04:03.000Z | 2021-09-22T12:04:03.000Z | tf_agents/utils/example_encoding_dataset.py | FlorisHoogenboom/agents | 2cd5a61e1838b52012271f1fb8617c29a55279a9 | [
"Apache-2.0"
] | null | null | null | tf_agents/utils/example_encoding_dataset.py | FlorisHoogenboom/agents | 2cd5a61e1838b52012271f1fb8617c29a55279a9 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2018 The TF-Agents Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 36.276316 | 107 | 0.735703 |
f0a17a4e8fca591e7b7d85f6f158f09c0faf59f7 | 14,941 | py | Python | .executor/weather.py | gh0zialfat1h/dotfiles | d9b3f93ea6301ec65ed8140b6c6180d7166f3623 | [
"MIT"
] | 3 | 2021-06-02T04:54:09.000Z | 2021-06-06T04:29:01.000Z | .executor/weather.py | 0xft1h/dotfiles | d9b3f93ea6301ec65ed8140b6c6180d7166f3623 | [
"MIT"
] | null | null | null | .executor/weather.py | 0xft1h/dotfiles | d9b3f93ea6301ec65ed8140b6c6180d7166f3623 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# _*_ coding: utf-8 _*_
"""
This script retrieves weather data from http://openweathermap.org © 2012 — 2018 OpenWeatherMap, Inc.
1. Obtain API key at http://openweathermap.org;
2. find your city ID at https://openweathermap.org/find;
3. enter both values in the ~/t2ecol/weatherrc file;
4. edit o... | 36.00241 | 124 | 0.487986 |
49cafd0edbdd16629d58ea5ea728861782c45f8d | 1,586 | py | Python | montyHall/getDoors.py | code-mage/pythonTest | 34f2c7fe72c527b7ff8fa903ac18265d1f169c3c | [
"WTFPL"
] | null | null | null | montyHall/getDoors.py | code-mage/pythonTest | 34f2c7fe72c527b7ff8fa903ac18265d1f169c3c | [
"WTFPL"
] | null | null | null | montyHall/getDoors.py | code-mage/pythonTest | 34f2c7fe72c527b7ff8fa903ac18265d1f169c3c | [
"WTFPL"
] | 1 | 2021-03-17T15:35:11.000Z | 2021-03-17T15:35:11.000Z | import random
def getGates( ):
gates = [0,0,0]
moneyIndex = random.randint(0,2)
gates[moneyIndex] = 1;
return gates;
def reveal(gates, selected):
if (gates[selected] == 0):
for i in range(0,3):
if (i != selected and gates[i]==0):
return i
else:
index = r... | 31.098039 | 108 | 0.616646 |
85f917c555b06ccb058a12615320e3deca4fcf09 | 24 | py | Python | shapely/__init__.py | snorfalorpagus/Shapely | 088f0911451070456b46df035e600bc71e3a63b4 | [
"BSD-3-Clause"
] | 2 | 2019-05-16T09:10:01.000Z | 2021-09-03T14:56:09.000Z | shapely/__init__.py | paladin74/Shapely | 1f5c11918a3d26d17aaade63da3e1bd6d5b348db | [
"BSD-3-Clause"
] | null | null | null | shapely/__init__.py | paladin74/Shapely | 1f5c11918a3d26d17aaade63da3e1bd6d5b348db | [
"BSD-3-Clause"
] | null | null | null | __version__ = "1.6dev0"
| 12 | 23 | 0.708333 |
f5f7167c865a88aa4cc066dd1469dab6136b53d8 | 2,045 | py | Python | tests/test_blockchain.py | voycey/python-stashpay | 4f2961c7bf334bd0ff3740fa4e1c027c3ddf0795 | [
"MIT"
] | null | null | null | tests/test_blockchain.py | voycey/python-stashpay | 4f2961c7bf334bd0ff3740fa4e1c027c3ddf0795 | [
"MIT"
] | null | null | null | tests/test_blockchain.py | voycey/python-stashpay | 4f2961c7bf334bd0ff3740fa4e1c027c3ddf0795 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#####
# Part of `libstashpay`
#
# Copyright 2018 dustinface
#
# 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 righ... | 38.584906 | 103 | 0.730562 |
2971c44b573e205c34c256daa23481db703e22bf | 5,828 | py | Python | pylearn2/scripts/ecog/make_model_plots.py | BouchardLab/pylearn2 | 4cab785b870d22cd9e85a5f536d4cac234b6bf60 | [
"BSD-3-Clause"
] | null | null | null | pylearn2/scripts/ecog/make_model_plots.py | BouchardLab/pylearn2 | 4cab785b870d22cd9e85a5f536d4cac234b6bf60 | [
"BSD-3-Clause"
] | null | null | null | pylearn2/scripts/ecog/make_model_plots.py | BouchardLab/pylearn2 | 4cab785b870d22cd9e85a5f536d4cac234b6bf60 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from pylearn2.datasets import ecog_neuro
import os, h5py, argparse, cPickle
import numpy as np
import scipy as sp
import matplotlib
matplotlib.use('Agg')
from pylab import rcParams
import matplotlib.pyplot as plt
import analysis
import plotting
rcParams.update({'figure.autolayout': True})
de... | 40.193103 | 100 | 0.554221 |
a6b9179d57ae341436ece93a61e88319d95258aa | 640 | py | Python | plts/phs_funcs.py | molaruna/rcs_lfp_analysis | 14b3950299f08c0d08d20175c05a471328bf074f | [
"MIT"
] | 1 | 2021-12-04T00:03:22.000Z | 2021-12-04T00:03:22.000Z | plts/phs_funcs.py | molaruna/rcs_lfp_analysis | 14b3950299f08c0d08d20175c05a471328bf074f | [
"MIT"
] | null | null | null | plts/phs_funcs.py | molaruna/rcs_lfp_analysis | 14b3950299f08c0d08d20175c05a471328bf074f | [
"MIT"
] | null | null | null | import scipy.signal as signal
import matplotlib.pyplot as plt
def fit_aps(freqs, signal_arr):
local_max_freqs_i = signal.find_peaks(signal_arr)[0]
local_base_signal = get_base(signal_arr, local_max_freqs_i)
plt.semilogy(freqs, signal_arr)
plt.plot(freqs[local_max_freqs_i],signal_arr[local_max_freqs... | 640 | 640 | 0.735938 |
9b4655ae475f14c718aaa47e390801993a2a9568 | 958 | py | Python | var/spack/repos/builtin/packages/dateutils/package.py | jeanbez/spack | f4e51ce8f366c85bf5aa0eafe078677b42dae1ba | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/dateutils/package.py | jeanbez/spack | f4e51ce8f366c85bf5aa0eafe078677b42dae1ba | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 8 | 2021-11-09T20:28:40.000Z | 2022-03-15T03:26:33.000Z | var/spack/repos/builtin/packages/dateutils/package.py | jeanbez/spack | f4e51ce8f366c85bf5aa0eafe078677b42dae1ba | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2019-02-08T20:37:20.000Z | 2019-03-31T15:19:26.000Z | # 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.package import *
class Dateutils(AutotoolsPackage):
"""Dateutils are a bunch of tools that revolve around ... | 45.619048 | 103 | 0.769311 |
825152899adf9d25c69b79b1083dd689522bb197 | 1,085 | py | Python | myconnectome/openfmri/washu_fieldmap.py | poldrack/myconnectome | 201f414b3165894d6fe0be0677c8a58f6d161948 | [
"MIT"
] | 28 | 2015-04-02T16:43:14.000Z | 2020-06-17T20:04:26.000Z | myconnectome/openfmri/washu_fieldmap.py | poldrack/myconnectome | 201f414b3165894d6fe0be0677c8a58f6d161948 | [
"MIT"
] | 11 | 2015-05-19T02:57:22.000Z | 2017-03-17T17:36:16.000Z | myconnectome/openfmri/washu_fieldmap.py | poldrack/myconnectome | 201f414b3165894d6fe0be0677c8a58f6d161948 | [
"MIT"
] | 10 | 2015-05-21T17:01:26.000Z | 2020-11-11T04:28:08.000Z | import json,glob,os
import dicom
outdir='/scratch/01329/poldrack/selftracking/ds031/sub00001/ses105/fieldmap'
washubase='/scratch/01329/poldrack/selftracking/washu'
basedirs=['vc39556','vc39556_2']
fmseries=[[5,10,21],[5,17]]
ctr=1
for i in range(2):
basedir=os.path.join(washubase,basedirs[i])
for j in range(... | 30.138889 | 91 | 0.574194 |
e3d0d5529d91222878f4549782552eabd5cc60b3 | 1,638 | py | Python | hazelcast/protocol/codec/transactional_map_key_set_with_predicate_codec.py | murdockn/hazelcast-python-client | 597d90be5414cd56340fafcff916191704dcb86d | [
"Apache-2.0"
] | null | null | null | hazelcast/protocol/codec/transactional_map_key_set_with_predicate_codec.py | murdockn/hazelcast-python-client | 597d90be5414cd56340fafcff916191704dcb86d | [
"Apache-2.0"
] | null | null | null | hazelcast/protocol/codec/transactional_map_key_set_with_predicate_codec.py | murdockn/hazelcast-python-client | 597d90be5414cd56340fafcff916191704dcb86d | [
"Apache-2.0"
] | null | null | null | from hazelcast.serialization.bits import *
from hazelcast.protocol.client_message import ClientMessage
from hazelcast.protocol.custom_codec import *
from hazelcast.util import ImmutableLazyDataList
from hazelcast.protocol.codec.transactional_map_message_type import *
REQUEST_TYPE = TRANSACTIONALMAP_KEYSETWITHPREDICATE... | 34.125 | 99 | 0.778388 |
fdd51b929202fb1df0e9e3d27cfefccbb7c6aced | 14,277 | py | Python | barbot/core.py | frdfsnlght/Barbot-server | 4e3cfb9218a1d1d1c35288aaa5e6c756be83f84c | [
"MIT"
] | 1 | 2020-03-31T15:33:35.000Z | 2020-03-31T15:33:35.000Z | barbot/core.py | frdfsnlght/Barbot-server | 4e3cfb9218a1d1d1c35288aaa5e6c756be83f84c | [
"MIT"
] | null | null | null | barbot/core.py | frdfsnlght/Barbot-server | 4e3cfb9218a1d1d1c35288aaa5e6c756be83f84c | [
"MIT"
] | null | null | null |
import logging, datetime, time, subprocess, re, random
from threading import Thread, Event
from .bus import bus
from .config import config
from .db import db, ModelError
from . import serial
from . import utils
from .models.Drink import Drink
from .models.DrinkOrder import DrinkOrder
from .models.DrinkIngredient impo... | 33.912114 | 129 | 0.616936 |
09b99992d1dc01e285e6eabe5b4ef0e9a2ca26ae | 4,374 | py | Python | runtests.py | The-Compiler/mypy | f220ce50725ed7f117832b9f03aed4d1a9508e00 | [
"PSF-2.0"
] | null | null | null | runtests.py | The-Compiler/mypy | f220ce50725ed7f117832b9f03aed4d1a9508e00 | [
"PSF-2.0"
] | null | null | null | runtests.py | The-Compiler/mypy | f220ce50725ed7f117832b9f03aed4d1a9508e00 | [
"PSF-2.0"
] | null | null | null | #!/usr/bin/env python3
import subprocess
from subprocess import Popen
from os import system
from sys import argv, exit, platform, executable, version_info
# Use the Python provided to execute the script, or fall back to a sane default
if version_info >= (3, 5, 0):
python_name = executable
else:
if platform ==... | 27.509434 | 95 | 0.599909 |
704dd2e5c29dfebe33a0eba9d70b76c791ddad6d | 22,623 | py | Python | electrum/tests/test_lnrouter.py | y-chan/electrum | af4a3328f78ccc0d50efa3f6fa88facb328ef436 | [
"MIT"
] | 7 | 2020-03-20T10:20:29.000Z | 2021-04-21T12:46:25.000Z | electrum/tests/test_lnrouter.py | y-chan/electrum | af4a3328f78ccc0d50efa3f6fa88facb328ef436 | [
"MIT"
] | 19 | 2019-11-19T14:34:30.000Z | 2022-03-10T21:21:07.000Z | electrum/tests/test_lnrouter.py | y-chan/electrum | af4a3328f78ccc0d50efa3f6fa88facb328ef436 | [
"MIT"
] | 8 | 2018-04-11T01:05:12.000Z | 2020-03-24T22:26:30.000Z | import unittest
import tempfile
import shutil
import asyncio
from electrum.util import bh2u, bfh, create_and_start_event_loop
from electrum.lnonion import (OnionHopsDataSingle, new_onion_packet, OnionPerHop,
process_onion_packet, _decode_onion_error, decode_onion_error,
... | 107.728571 | 2,765 | 0.766919 |
4d62244adbd1375d592651dfaadfc249bf81f841 | 1,292 | py | Python | working_with_pdf_csv/Working with CVS.py | alok8765/basic_python_practicse | 9bd61f0b03fc1e703a75df39862a24692bb3fdb7 | [
"MIT"
] | null | null | null | working_with_pdf_csv/Working with CVS.py | alok8765/basic_python_practicse | 9bd61f0b03fc1e703a75df39862a24692bb3fdb7 | [
"MIT"
] | null | null | null | working_with_pdf_csv/Working with CVS.py | alok8765/basic_python_practicse | 9bd61f0b03fc1e703a75df39862a24692bb3fdb7 | [
"MIT"
] | null | null | null | #Working with CVS
import csv
#open the file
data=open('example.csv',encoding='utf-8')
#csv.reader
csv_data=csv.reader(data)
#reformatted into python obj (list of list)
data_line=list(csv_data)
#print(data_line)
#check first row item
print(data_line[0])
#check number of rows
print(len(data_line))
#print few rows in... | 23.071429 | 53 | 0.713622 |
3daef2e6adc20c1c235f2d629685e994940e3502 | 9,676 | py | Python | drqa/reader/utils.py | felixgaschi/experiment-on-DrQA | fe276df098bc797a20607930f12ad7079659575d | [
"BSD-3-Clause"
] | null | null | null | drqa/reader/utils.py | felixgaschi/experiment-on-DrQA | fe276df098bc797a20607930f12ad7079659575d | [
"BSD-3-Clause"
] | null | null | null | drqa/reader/utils.py | felixgaschi/experiment-on-DrQA | fe276df098bc797a20607930f12ad7079659575d | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# Copyright 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""DrQA reader utilities."""
import json
import time
import logging
import string
import regex as re
from col... | 29.772308 | 80 | 0.56604 |
e1a5b4637489993898fa17e3756d3650c4f88620 | 14,870 | py | Python | trpo.py | sagerpascal/deep-rl-bootcamp-lab4 | 1058a41ef0a7fa909b02bc8e760b1b48c0cae6f8 | [
"MIT"
] | null | null | null | trpo.py | sagerpascal/deep-rl-bootcamp-lab4 | 1058a41ef0a7fa909b02bc8e760b1b48c0cae6f8 | [
"MIT"
] | null | null | null | trpo.py | sagerpascal/deep-rl-bootcamp-lab4 | 1058a41ef0a7fa909b02bc8e760b1b48c0cae6f8 | [
"MIT"
] | null | null | null | """
This project was developed by Rocky Duan, Peter Chen, Pieter Abbeel for the Berkeley Deep RL Bootcamp, August 2017. Bootcamp website with slides and lecture videos: https://sites.google.com/view/deep-rl-bootcamp/.
Copyright 2017 Deep RL Bootcamp Organizers.
Permission is hereby granted, free of charge, to any per... | 47.813505 | 460 | 0.620444 |
84134d45ff1ab7f2f202dd2ffc16ab73fae2c0e6 | 977 | py | Python | gallery/views.py | lilian-2021/my-gallery | aaa1ac356f96258c1272ee9418be8e212fbe863b | [
"Unlicense"
] | null | null | null | gallery/views.py | lilian-2021/my-gallery | aaa1ac356f96258c1272ee9418be8e212fbe863b | [
"Unlicense"
] | null | null | null | gallery/views.py | lilian-2021/my-gallery | aaa1ac356f96258c1272ee9418be8e212fbe863b | [
"Unlicense"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponse,Http404
from .models import gallery
# Create your views here.
def all_photos(request):
images = gallery.objects.all()
return render(request, 'index.html', {'images':images})
def photo_description(request,Gallery_image_id):
... | 29.606061 | 94 | 0.696008 |
3ec1432e389c944f7f9398746f6a3194398a81f4 | 443 | py | Python | bookwyrm/migrations/0114_importjob_source.py | mouse-reeve/fedireads | e3471fcc3500747a1b1deaaca662021aae5b08d4 | [
"CC0-1.0"
] | 270 | 2020-01-27T06:06:07.000Z | 2020-06-21T00:28:18.000Z | bookwyrm/migrations/0114_importjob_source.py | mouse-reeve/fedireads | e3471fcc3500747a1b1deaaca662021aae5b08d4 | [
"CC0-1.0"
] | 158 | 2020-02-10T20:36:54.000Z | 2020-06-26T17:12:54.000Z | bookwyrm/migrations/0114_importjob_source.py | mouse-reeve/fedireads | e3471fcc3500747a1b1deaaca662021aae5b08d4 | [
"CC0-1.0"
] | 15 | 2020-02-13T21:53:33.000Z | 2020-06-17T16:52:46.000Z | # Generated by Django 3.2.5 on 2021-11-13 00:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("bookwyrm", "0113_auto_20211110_2104"),
]
operations = [
migrations.AddField(
model_name="importjob",
name="source",
... | 22.15 | 69 | 0.604966 |
bcd50cd546991918e4d417c120ad285793289eee | 338 | py | Python | src/griffe/__main__.py | rohankumardubey/griffe | 3c026d3b8c9714d4b15a6ad2e003718e2e46a3e4 | [
"0BSD"
] | 29 | 2022-01-31T21:39:28.000Z | 2022-03-24T04:03:27.000Z | src/griffe/__main__.py | rohankumardubey/griffe | 3c026d3b8c9714d4b15a6ad2e003718e2e46a3e4 | [
"0BSD"
] | 56 | 2022-01-31T20:41:23.000Z | 2022-03-31T19:03:07.000Z | src/griffe/__main__.py | rohankumardubey/griffe | 3c026d3b8c9714d4b15a6ad2e003718e2e46a3e4 | [
"0BSD"
] | 5 | 2022-02-19T16:58:55.000Z | 2022-03-21T18:28:03.000Z | """
Entry-point module, in case you use `python -m griffe`.
Why does this file exist, and why `__main__`? For more info, read:
- https://www.python.org/dev/peps/pep-0338/
- https://docs.python.org/3/using/cmdline.html#cmdoption-m
"""
import sys
from griffe.cli import main
if __name__ == "__main__":
sys.exit(ma... | 21.125 | 66 | 0.695266 |
319939c33a3a60dc69da4e47414a6368bb852108 | 25 | py | Python | python/zpmanga/manga_tools/__init__.py | zpace/zpmanga | 320ac59e5cdf4c62b24165945d9a194b80ea07a2 | [
"BSD-3-Clause"
] | null | null | null | python/zpmanga/manga_tools/__init__.py | zpace/zpmanga | 320ac59e5cdf4c62b24165945d9a194b80ea07a2 | [
"BSD-3-Clause"
] | null | null | null | python/zpmanga/manga_tools/__init__.py | zpace/zpmanga | 320ac59e5cdf4c62b24165945d9a194b80ea07a2 | [
"BSD-3-Clause"
] | null | null | null | __all__ = ['manga_tools'] | 25 | 25 | 0.72 |
4f018d05affa6f3da20273ee00d72e2bd1e36807 | 57,928 | py | Python | tests/testflows/ldap/role_mapping/tests/mapping.py | roanhe-ts/ClickHouse | 22de534fdcd3f05e27423d13f5875f97c3ba5f10 | [
"Apache-2.0"
] | 1 | 2022-02-08T03:09:51.000Z | 2022-02-08T03:09:51.000Z | tests/testflows/ldap/role_mapping/tests/mapping.py | roanhe-ts/ClickHouse | 22de534fdcd3f05e27423d13f5875f97c3ba5f10 | [
"Apache-2.0"
] | 1 | 2022-03-21T07:27:34.000Z | 2022-03-21T07:27:34.000Z | tests/testflows/ldap/role_mapping/tests/mapping.py | roanhe-ts/ClickHouse | 22de534fdcd3f05e27423d13f5875f97c3ba5f10 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from testflows.core import *
from testflows.asserts import error
from helpers.common import Pool
from ldap.role_mapping.requirements import *
from ldap.role_mapping.tests.common import *
from ldap.external_user_directory.tests.common import randomword
from ldap.external_user_directory.tests.a... | 40.005525 | 118 | 0.632596 |
4a905b3e862140e9a368c15e4bab1d523ff03e77 | 943 | py | Python | oops_fhir/r4/value_set/v3_act_relationship_subset.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/value_set/v3_act_relationship_subset.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/value_set/v3_act_relationship_subset.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | from pathlib import Path
from fhir.resources.valueset import ValueSet as _ValueSet
from oops_fhir.utils import ValueSet
from oops_fhir.r4.code_system.v3_act_relationship_subset import (
v3ActRelationshipSubset as v3ActRelationshipSubset_,
)
__all__ = ["v3ActRelationshipSubset"]
_resource = _ValueSet.parse_fi... | 26.942857 | 74 | 0.765642 |
032cf19503dad5f63b6ae50ecf0b06b10339600b | 4,089 | py | Python | tests/providers/amazon/aws/sensors/test_sqs.py | troywinter/airflow | ba66ba0d97941c55d9f00f66329a9d3c7ad673e7 | [
"Apache-2.0"
] | 3 | 2015-08-25T13:56:44.000Z | 2020-03-21T10:26:58.000Z | tests/providers/amazon/aws/sensors/test_sqs.py | troywinter/airflow | ba66ba0d97941c55d9f00f66329a9d3c7ad673e7 | [
"Apache-2.0"
] | 37 | 2020-07-21T07:50:02.000Z | 2022-03-29T22:31:28.000Z | tests/providers/amazon/aws/sensors/test_sqs.py | vuppalli/airflow | dfe8337ca2d3ed173d9ecc112938271519792c40 | [
"Apache-2.0"
] | 4 | 2020-07-17T14:02:28.000Z | 2022-02-23T04:29:58.000Z | #
# 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... | 39.317308 | 110 | 0.638542 |
e8bbb3424900c812876008860afa817808ceaf96 | 632 | py | Python | Random-Number-Checker.py | Ethan-Francolla/Random-Number-Checker | 40419954cf6f99b184f84c00a600ef1d384cba99 | [
"MIT"
] | 5 | 2021-11-26T18:39:57.000Z | 2022-02-17T04:17:45.000Z | Random-Number-Checker.py | Ethan-Francolla/Random-Number-Checker | 40419954cf6f99b184f84c00a600ef1d384cba99 | [
"MIT"
] | null | null | null | Random-Number-Checker.py | Ethan-Francolla/Random-Number-Checker | 40419954cf6f99b184f84c00a600ef1d384cba99 | [
"MIT"
] | null | null | null | import random
list = []
def print_list():
print("This is the list:")
print(*list, sep = ', ')
for i in range(100):
rand_num = int(random.randint(1,500))
list.append(rand_num)
list.sort()
list.reverse()
user_num = int(input("Please enter a number to check if it is in the array: "))
if user_num ... | 21.793103 | 79 | 0.653481 |
173936dac745115efa8b08779ca59bea5ffd88d0 | 7,783 | py | Python | benchmarking/TriVec/experiment_TriVec.py | hpi-sam/GNN-Effectants | e1204cb78bb91ffe3126df62d2d14b20da950694 | [
"MIT"
] | 1 | 2021-03-29T20:50:38.000Z | 2021-03-29T20:50:38.000Z | benchmarking/TriVec/experiment_TriVec.py | hpi-sam/GNN-Effectants | e1204cb78bb91ffe3126df62d2d14b20da950694 | [
"MIT"
] | null | null | null | benchmarking/TriVec/experiment_TriVec.py | hpi-sam/GNN-Effectants | e1204cb78bb91ffe3126df62d2d14b20da950694 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import itertools
import gzip
import numpy as np
import time
from sklearn.pipeline import Pipeline
from tqdm import tqdm
from libkge.embedding import TransE, DistMult, ComplEx, TriModel, DistMult_MCL, ComplEx_MCL, TriModel_MCL
from libkge import KgDataset
from libkge.metrics.classifica... | 40.748691 | 118 | 0.647951 |
a34d08bb021b913763df8aafe21dfda822fe1dc4 | 11,055 | py | Python | test/azure/legacy/Expected/AcceptanceTests/AzureSpecials/azurespecialproperties/aio/operations/_subscription_in_credentials_operations.py | Azure/autorest.python | c36f5c1a2d614a1eeba6fec6a2c02517f2d1cce7 | [
"MIT"
] | 35 | 2018-04-03T12:15:53.000Z | 2022-03-11T14:03:34.000Z | test/azure/legacy/Expected/AcceptanceTests/AzureSpecials/azurespecialproperties/aio/operations/_subscription_in_credentials_operations.py | Azure/autorest.python | c36f5c1a2d614a1eeba6fec6a2c02517f2d1cce7 | [
"MIT"
] | 652 | 2017-08-28T22:44:41.000Z | 2022-03-31T21:20:31.000Z | test/azure/legacy/Expected/AcceptanceTests/AzureSpecials/azurespecialproperties/aio/operations/_subscription_in_credentials_operations.py | Azure/autorest.python | c36f5c1a2d614a1eeba6fec6a2c02517f2d1cce7 | [
"MIT"
] | 29 | 2017-08-28T20:57:01.000Z | 2022-03-11T14:03:38.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 48.065217 | 188 | 0.708186 |
f647bab2f0d77d8b958f1c111387de8a243e6867 | 31,533 | py | Python | flax/core/lift.py | davisyoshida/flax | d03a262249671db92f9924f990437907cac36b21 | [
"Apache-2.0"
] | null | null | null | flax/core/lift.py | davisyoshida/flax | d03a262249671db92f9924f990437907cac36b21 | [
"Apache-2.0"
] | null | null | null | flax/core/lift.py | davisyoshida/flax | d03a262249671db92f9924f990437907cac36b21 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The Flax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 39.465582 | 144 | 0.682016 |
76cd1b816416bfb5baa1d17db3552016b5c40749 | 5,650 | py | Python | keystoneclient/fixture/v2.py | jamielennox/python-keystoneclient | a1bc48c0fc475db6bca761a9023c35adab740dab | [
"Apache-1.1"
] | null | null | null | keystoneclient/fixture/v2.py | jamielennox/python-keystoneclient | a1bc48c0fc475db6bca761a9023c35adab740dab | [
"Apache-1.1"
] | null | null | null | keystoneclient/fixture/v2.py | jamielennox/python-keystoneclient | a1bc48c0fc475db6bca761a9023c35adab740dab | [
"Apache-1.1"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | 29.89418 | 79 | 0.630442 |
8cbe9d6ad2acb90980dd1ac9c32ba0ab046f2ba6 | 5,919 | py | Python | exec.py | wellhowtosay/Smbop_mt | f4b0feb9308632cfe31d4dc47efdbae672439bf7 | [
"MIT"
] | null | null | null | exec.py | wellhowtosay/Smbop_mt | f4b0feb9308632cfe31d4dc47efdbae672439bf7 | [
"MIT"
] | null | null | null | exec.py | wellhowtosay/Smbop_mt | f4b0feb9308632cfe31d4dc47efdbae672439bf7 | [
"MIT"
] | null | null | null | import json
import argparse
import contextlib
import sh
import subprocess
import pathlib
from allennlp.commands.train import train_model
from allennlp.common import Params
# from smbop.dataset_readers.spider import SmbopSpiderDatasetReader
from smbop.dataset_readers.cosql import SmbopCoSqlDatasetReader
from smbop.mode... | 39.993243 | 127 | 0.687954 |
92f9c0a40502b50b922102d5b072e06101fef4c3 | 416 | py | Python | aws-dev/awsdev8/Scripts/pip-script.py | PacktPublishing/-AWS-Certified-Developer---Associate-Certification | 3f76e3d3df6797705b5b30ae574fe678250d5e92 | [
"MIT"
] | 13 | 2020-02-02T13:53:50.000Z | 2022-03-20T19:50:02.000Z | aws-dev/awsdev63/Scripts/pip-script.py | PacktPublishing/-AWS-Certified-Developer---Associate-Certification | 3f76e3d3df6797705b5b30ae574fe678250d5e92 | [
"MIT"
] | 2 | 2020-03-29T19:08:04.000Z | 2021-06-02T00:57:44.000Z | aws-dev/awsdev63/Scripts/pip-script.py | PacktPublishing/-AWS-Certified-Developer---Associate-Certification | 3f76e3d3df6797705b5b30ae574fe678250d5e92 | [
"MIT"
] | 10 | 2019-12-25T20:42:37.000Z | 2021-11-17T15:19:00.000Z | #!"C:\Users\malcolm orr\Documents\GitHub\awsdev63\Scripts\python.exe"
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip'
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.a... | 32 | 69 | 0.665865 |
a31007b71926238dfc8438696161d1b4703dd6bb | 1,850 | py | Python | python/petitBloc/chain.py | sol-ansano-kim/unitBlock | ba95a5e5625359d4bbab97cbf18df5ba259e1aee | [
"MIT"
] | 24 | 2018-01-17T02:58:10.000Z | 2021-08-20T20:34:08.000Z | python/petitBloc/chain.py | sol-ansano-kim/unitBlock | ba95a5e5625359d4bbab97cbf18df5ba259e1aee | [
"MIT"
] | 2 | 2018-12-05T08:02:49.000Z | 2021-05-21T06:57:02.000Z | python/petitBloc/chain.py | sol-ansano-kim/unitBlock | ba95a5e5625359d4bbab97cbf18df5ba259e1aee | [
"MIT"
] | 5 | 2018-02-06T05:40:17.000Z | 2022-03-19T06:30:20.000Z | from numbers import Number
from . import core
from . import packet
from . import workerManager
class Chain(core.ChainBase):
def __init__(self, srcPort, dstPort):
super(Chain, self).__init__(srcPort, dstPort)
self.__packets = None
def empty(self):
if self.__packets is None:
... | 23.125 | 70 | 0.574054 |
14d4501cfd83d3045828c6655cf15513aa823657 | 4,344 | py | Python | src/tools/voc_eval_lib/utils/visualization.py | papkov/CenterNet | 91fe229756881fe8f77697b73407e2337b6fc65e | [
"MIT"
] | null | null | null | src/tools/voc_eval_lib/utils/visualization.py | papkov/CenterNet | 91fe229756881fe8f77697b73407e2337b6fc65e | [
"MIT"
] | null | null | null | src/tools/voc_eval_lib/utils/visualization.py | papkov/CenterNet | 91fe229756881fe8f77697b73407e2337b6fc65e | [
"MIT"
] | null | null | null | # --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Xinlei Chen
# --------------------------------------------------------
from __future__ import absolute_import, division, print_function
import numpy as np
import ... | 21.294118 | 82 | 0.561924 |
2deda0f8d1c9335e7dd52042d5e5544dd37fcac3 | 3,193 | py | Python | monk/pytorch/training/params.py | Sanskar329/monk_v1 | 51a497a925ec1fb2c8fef1d51245ea7040a5a65a | [
"Apache-2.0"
] | 7 | 2020-07-26T08:37:29.000Z | 2020-10-30T10:23:11.000Z | monk/pytorch/training/params.py | mursalfk/monk_v1 | 62f34a52f242772186ffff7e56764e958fbcd920 | [
"Apache-2.0"
] | null | null | null | monk/pytorch/training/params.py | mursalfk/monk_v1 | 62f34a52f242772186ffff7e56764e958fbcd920 | [
"Apache-2.0"
] | null | null | null | from pytorch.training.imports import *
from system.imports import *
@accepts(int, dict, post_trace=False)
#@TraceFunction(trace_args=False, trace_rv=False)
def set_num_epochs(num_epochs, system_dict):
'''
Set number of training epochs
Args:
num_epochs (int): Number of epochs to train the network
... | 30.409524 | 98 | 0.710304 |
9d28b7134f8c58cd85c41e693789022d7beb0cbb | 352 | py | Python | corsempy/__init__.py | iaousse/corsempy_project | e369016e1edd9372556e13d0038088628dc7bb40 | [
"MIT"
] | null | null | null | corsempy/__init__.py | iaousse/corsempy_project | e369016e1edd9372556e13d0038088628dc7bb40 | [
"MIT"
] | null | null | null | corsempy/__init__.py | iaousse/corsempy_project | e369016e1edd9372556e13d0038088628dc7bb40 | [
"MIT"
] | null | null | null | """corsempy is a Python package for implementing the iterative methods for the computations of the covariance
matrix implied by an SEM model. The package still under development."""
"""from .optimizer import Optimizer
from .model import Model
from .identifier import Identifier
from .stats import Statistics"""
name = "... | 35.2 | 109 | 0.784091 |
2dbefc0019ffb5976d6187a2d79e30d5948a0d28 | 1,464 | py | Python | aliyun-python-sdk-ros/aliyunsdkros/request/v20190910/DescribeRegionsRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 1,001 | 2015-07-24T01:32:41.000Z | 2022-03-25T01:28:18.000Z | aliyun-python-sdk-ros/aliyunsdkros/request/v20190910/DescribeRegionsRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 363 | 2015-10-20T03:15:00.000Z | 2022-03-08T12:26:19.000Z | aliyun-python-sdk-ros/aliyunsdkros/request/v20190910/DescribeRegionsRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 682 | 2015-09-22T07:19:02.000Z | 2022-03-22T09:51:46.000Z | # 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 u... | 38.526316 | 74 | 0.771858 |
1c3c1b6d1bf3418e30f84f8cf25639559ef31943 | 3,970 | py | Python | utils/polus-imagej-util/{{cookiecutter.project_slug}}/src/ij_converter.py | LabShare/polus-plugin-utils | 9332ca6c229401d57b063a81973d48ce718c654c | [
"MIT"
] | null | null | null | utils/polus-imagej-util/{{cookiecutter.project_slug}}/src/ij_converter.py | LabShare/polus-plugin-utils | 9332ca6c229401d57b063a81973d48ce718c654c | [
"MIT"
] | null | null | null | utils/polus-imagej-util/{{cookiecutter.project_slug}}/src/ij_converter.py | LabShare/polus-plugin-utils | 9332ca6c229401d57b063a81973d48ce718c654c | [
"MIT"
] | null | null | null |
'''
A conversion utility built to convert abstract to primitive
'''
import imagej
import logging
import imglyb
import jpype
import numpy as np
import scyjava
# Initialize the logger
logging.basicConfig(format='%(asctime)s - %(name)-8s - %(levelname)-8s - %(message)s',
datefmt='%d-%b-%y %H:%M:%S')... | 27.569444 | 92 | 0.581612 |
65e033b7b694bd8b38b15bb918eaba18f76b8443 | 8,650 | py | Python | Cartwheel/lib/Python26/Lib/site-packages/OpenGL/raw/GL/SGIX/fragment_lighting.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | null | null | null | Cartwheel/lib/Python26/Lib/site-packages/OpenGL/raw/GL/SGIX/fragment_lighting.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | null | null | null | Cartwheel/lib/Python26/Lib/site-packages/OpenGL/raw/GL/SGIX/fragment_lighting.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | null | null | null | '''OpenGL extension SGIX.fragment_lighting
The official definition of this extension is available here:
http://oss.sgi.com/projects/ogl-sample/registry/SGIX/fragment_lighting.txt
Automatically generated by the get_gl_extensions script, do not edit!
'''
from OpenGL import platform, constants, constant, arrays
from Op... | 43.467337 | 132 | 0.784509 |
ec6dc8fcc13c3741cae03b46f280bb409058cc09 | 3,107 | py | Python | hub_module/modules/text/text_generation/ernie_gen_poetry/model/modeling_ernie_gen.py | 18621579069/PaddleHub-yu | 15e8bcef2addf239081e235bdcfd039de12330e0 | [
"Apache-2.0"
] | 4 | 2021-02-25T03:27:38.000Z | 2021-05-15T03:20:23.000Z | hub_module/modules/text/text_generation/ernie_gen_poetry/model/modeling_ernie_gen.py | 18621579069/PaddleHub-yu | 15e8bcef2addf239081e235bdcfd039de12330e0 | [
"Apache-2.0"
] | null | null | null | hub_module/modules/text/text_generation/ernie_gen_poetry/model/modeling_ernie_gen.py | 18621579069/PaddleHub-yu | 15e8bcef2addf239081e235bdcfd039de12330e0 | [
"Apache-2.0"
] | 2 | 2021-03-01T07:04:01.000Z | 2021-05-14T05:54:18.000Z | # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 39.329114 | 87 | 0.621178 |
1dbc6e57080adc9016ef1de86c6328795eec509e | 5,413 | py | Python | meli/models.py | rmarcacini/cc-meli2019 | 57139212b0afce5ada550c903516e5b919347b7b | [
"MIT"
] | 5 | 2019-10-13T21:32:55.000Z | 2021-01-12T15:47:36.000Z | meli/models.py | pablozivic/cc-meli2019 | 57139212b0afce5ada550c903516e5b919347b7b | [
"MIT"
] | null | null | null | meli/models.py | pablozivic/cc-meli2019 | 57139212b0afce5ada550c903516e5b919347b7b | [
"MIT"
] | 2 | 2019-10-07T15:43:05.000Z | 2019-10-25T23:36:26.000Z | import keras
from keras.models import Sequential
from keras.layers import Embedding
from keras.layers import Dropout
from keras.layers import Bidirectional
from keras.layers import GRU
from keras.layers import LSTM
from keras.layers import Dense
from keras.callbacks import EarlyStopping
from keras.layers import Input
f... | 42.289063 | 233 | 0.727323 |
c9d1e65e7def3edcef46e672dc626b21ff962c88 | 876 | py | Python | Download/validate_unusual_video.py | jyun790430/CrawlerH | 4329c42dfbf3eacba9711eaf1dc90106166ecdcc | [
"MIT"
] | null | null | null | Download/validate_unusual_video.py | jyun790430/CrawlerH | 4329c42dfbf3eacba9711eaf1dc90106166ecdcc | [
"MIT"
] | 3 | 2021-03-31T19:49:20.000Z | 2021-12-13T20:38:02.000Z | Download/validate_unusual_video.py | jyun790430/CrawlerH | 4329c42dfbf3eacba9711eaf1dc90106166ecdcc | [
"MIT"
] | null | null | null | # coding=utf-8
import os
import subprocess
from model import CrawlVideoModel
from setting.config import VIDEO_FILE_PATH
files = os.listdir(VIDEO_FILE_PATH)
a = subprocess.Popen(['ffmpeg', '-i', '/Users/bryson/videoH/46ca6786ceaf078653acf3e9b0cd13bb.mp4'])
print a.returncode
# # 以迴圈處理
# for _f in files:
# # 產生檔案的絕... | 22.461538 | 99 | 0.650685 |
b6d827d520391be4c035fc2a2259d66b7b9f2834 | 1,325 | py | Python | builders/bidirectional_rnn_builder.py | ChenCongGit/Chinese-aster | 3e4ad7e1cc36ad071e4e5dd1017d7d415d686d8d | [
"MIT"
] | 6 | 2019-08-05T08:54:46.000Z | 2021-06-29T08:36:58.000Z | builders/bidirectional_rnn_builder.py | ChenCongGit/Chinese-aster | 3e4ad7e1cc36ad071e4e5dd1017d7d415d686d8d | [
"MIT"
] | null | null | null | builders/bidirectional_rnn_builder.py | ChenCongGit/Chinese-aster | 3e4ad7e1cc36ad071e4e5dd1017d7d415d686d8d | [
"MIT"
] | null | null | null | from Chinese_aster.core import bidirectional_rnn
from Chinese_aster.protos import hyperparams_pb2
from Chinese_aster.protos import bidirectional_rnn_pb2
from Chinese_aster.builders import hyperparams_builder
from Chinese_aster.builders import rnn_cell_builder
def build(config, is_training):
if not isinstance(config... | 41.40625 | 89 | 0.830943 |
7fd22447fd2213aa234138016d281d59d5604bb5 | 179 | py | Python | celeryconfig.py | urkonn/shogun | fbbd9dfd5773d223949d1030c954e81fd353f175 | [
"MIT"
] | null | null | null | celeryconfig.py | urkonn/shogun | fbbd9dfd5773d223949d1030c954e81fd353f175 | [
"MIT"
] | null | null | null | celeryconfig.py | urkonn/shogun | fbbd9dfd5773d223949d1030c954e81fd353f175 | [
"MIT"
] | null | null | null | import sys
import os
sys.path.append('.')
BROKER_URL = os.getenv('REDIS_URL')
CELERY_ACCEPT_CONTENT = ['json']
CELERY_TASK_SERIALIZER = 'json'
CELERY_RESULT_SERIALIZER = 'json'
| 17.9 | 35 | 0.759777 |
d80b61e6864643ddb4bd5f866b090d53a14bd2dc | 69 | py | Python | stonesoup/models/__init__.py | Red-Portal/Stone-Soup-1 | 267621c86161a839da9b144c2745d28d9166d903 | [
"MIT"
] | 157 | 2019-04-14T20:43:11.000Z | 2022-03-30T08:30:33.000Z | stonesoup/models/__init__.py | Red-Portal/Stone-Soup-1 | 267621c86161a839da9b144c2745d28d9166d903 | [
"MIT"
] | 364 | 2019-04-18T15:54:49.000Z | 2022-03-31T09:50:02.000Z | stonesoup/models/__init__.py | Red-Portal/Stone-Soup-1 | 267621c86161a839da9b144c2745d28d9166d903 | [
"MIT"
] | 86 | 2019-04-20T02:01:18.000Z | 2022-03-28T01:03:11.000Z | # -*- coding: utf-8 -*-
from .base import Model
__all__ = ['Model']
| 13.8 | 23 | 0.594203 |
9d82929a79d530b762249270118da3a7cfcb74d2 | 679 | py | Python | Algorithms/2_Implementation/50.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | 1 | 2021-11-25T13:39:30.000Z | 2021-11-25T13:39:30.000Z | Algorithms/2_Implementation/50.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | null | null | null | Algorithms/2_Implementation/50.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | null | null | null | # https://www.hackerrank.com/challenges/minimum-distances/problem
#!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'minimumDistances' function below.
#
# The function is expected to return an INTEGER.
# The function accepts INTEGER_ARRAY a as parameter.
#
def minimumDistances... | 20.575758 | 78 | 0.662739 |
fb6037a424f2e01ba085af32ef7ef6d2f3e35f8f | 3,194 | py | Python | meetup_api/app/master4b.py | albertolusoli/meetup_api | c631adf509d4ba1a7a4e26be4bca78060daee0a6 | [
"MIT"
] | 1 | 2019-08-23T00:06:50.000Z | 2019-08-23T00:06:50.000Z | meetup_api/app/master4b.py | albertolusoli/meetup_api | c631adf509d4ba1a7a4e26be4bca78060daee0a6 | [
"MIT"
] | null | null | null | meetup_api/app/master4b.py | albertolusoli/meetup_api | c631adf509d4ba1a7a4e26be4bca78060daee0a6 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import psycopg2
from config import Config
import find_group_ids as find_group_ids
import find_topic_ids as topics
import find_event_ids as find_event_ids
import api_groups as api_groups
import api_past_events as api_past_events
import api_upcoming_events as api_upcoming_events
i... | 22.335664 | 103 | 0.69474 |
182d7e5ce8fc3b4eff8600a2bb88c07f30970066 | 4,469 | py | Python | scrapy_crawl_once/middlewares.py | SmirnovStepan/scrapy-crawl-once | 8ee8004d7effbf05cb7d0590f91b1880c98731a9 | [
"MIT"
] | null | null | null | scrapy_crawl_once/middlewares.py | SmirnovStepan/scrapy-crawl-once | 8ee8004d7effbf05cb7d0590f91b1880c98731a9 | [
"MIT"
] | null | null | null | scrapy_crawl_once/middlewares.py | SmirnovStepan/scrapy-crawl-once | 8ee8004d7effbf05cb7d0590f91b1880c98731a9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import time
import logging
from sqlitedict import SqliteDict
from scrapy import signals
from scrapy.utils.project import data_path
from scrapy.utils.request import request_fingerprint
from scrapy.exceptions import IgnoreRequest, NotConfigured
logger = logging.getLogger(__name__)
cl... | 35.188976 | 78 | 0.633028 |
af4d765b05c6e72a633f53f47e93181f40e92ed2 | 2,136 | py | Python | examples/listdevs.py | DCC-Lab/libusb | 40e49a03cf17fafaa03c6b02a4aa5e920631442c | [
"Zlib"
] | null | null | null | examples/listdevs.py | DCC-Lab/libusb | 40e49a03cf17fafaa03c6b02a4aa5e920631442c | [
"Zlib"
] | null | null | null | examples/listdevs.py | DCC-Lab/libusb | 40e49a03cf17fafaa03c6b02a4aa5e920631442c | [
"Zlib"
] | null | null | null | # Copyright (c) 2016-2020 Adam Karpierz
# Licensed under the zlib/libpng License
# https://opensource.org/licenses/Zlib
# libusb example program to list devices on the bus
# Copyright © 2007 Daniel Drake <dsd@gentoo.org>
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of t... | 27.74026 | 78 | 0.632022 |
cb24039d6887d5914ed43ab1944a2a5a423c36f3 | 16,500 | py | Python | tests/test_modeling_roberta.py | malteos/transformers | cafa6a9e29f3e99c67a1028f8ca779d439bc0689 | [
"Apache-2.0"
] | 23 | 2020-10-26T11:10:30.000Z | 2022-03-21T10:18:08.000Z | tests/test_modeling_roberta.py | malteos/transformers | cafa6a9e29f3e99c67a1028f8ca779d439bc0689 | [
"Apache-2.0"
] | 2 | 2020-10-29T07:59:57.000Z | 2021-09-08T14:49:44.000Z | tests/test_modeling_roberta.py | malteos/transformers | cafa6a9e29f3e99c67a1028f8ca779d439bc0689 | [
"Apache-2.0"
] | 8 | 2020-12-31T03:30:57.000Z | 2022-03-21T08:12:54.000Z | # 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 ... | 44.117647 | 119 | 0.656909 |
650a49d05c92fb6fba0cc2bef6c78878e4178be0 | 192 | py | Python | backend/workers/main.py | jmeisele/celery-farm | 7e2638a24717b37f1886a816c45b9d88f89cc726 | [
"MIT"
] | 3 | 2022-01-07T20:30:31.000Z | 2022-02-09T19:11:27.000Z | backend/workers/main.py | jmeisele/celery-farm | 7e2638a24717b37f1886a816c45b9d88f89cc726 | [
"MIT"
] | null | null | null | backend/workers/main.py | jmeisele/celery-farm | 7e2638a24717b37f1886a816c45b9d88f89cc726 | [
"MIT"
] | null | null | null | from celery import Celery
from .config import settings
celery_app = Celery(
"workers",
broker=settings.BROKER_URL,
include=["workers.tasks"],
backend=settings.BACKEND_URL,
)
| 17.454545 | 33 | 0.71875 |
fb9982db309834bb844ab22be28730b654696caa | 15,362 | py | Python | main_verb_try_adamexp.py | thilinicooray/mac-network-pytorch | 0e4bf3f7f301570b652490f697758361c866f3c1 | [
"MIT"
] | null | null | null | main_verb_try_adamexp.py | thilinicooray/mac-network-pytorch | 0e4bf3f7f301570b652490f697758361c866f3c1 | [
"MIT"
] | null | null | null | main_verb_try_adamexp.py | thilinicooray/mac-network-pytorch | 0e4bf3f7f301570b652490f697758361c866f3c1 | [
"MIT"
] | null | null | null | import torch
from imsitu_encoder_verb import imsitu_encoder
from imsitu_loader import imsitu_loader_verb
from imsitu_scorer_log import imsitu_scorer
import json
import model_verb_directcnn
import os
import utils
import torchvision as tv
#from torchviz import make_dot
#from graphviz import Digraph
def train(model, tr... | 41.184987 | 180 | 0.588921 |
1b871222e2fc5998800eb387b6b062df925d655a | 2,005 | py | Python | CapGenerator/train_model.py | edwardcruzcruz/Describiendo_imagenes_keras | 5c9a0ffed365098d0df880dd73c1908d2228cc28 | [
"MIT"
] | 64 | 2018-10-25T06:19:49.000Z | 2022-02-17T11:23:56.000Z | CapGenerator/train_model.py | edwardcruzcruz/Describiendo_imagenes_keras | 5c9a0ffed365098d0df880dd73c1908d2228cc28 | [
"MIT"
] | 12 | 2018-09-10T14:56:35.000Z | 2022-03-28T14:48:45.000Z | CapGenerator/train_model.py | edwardcruzcruz/Describiendo_imagenes_keras | 5c9a0ffed365098d0df880dd73c1908d2228cc28 | [
"MIT"
] | 55 | 2018-11-12T08:33:43.000Z | 2022-01-22T15:35:53.000Z | import load_data as ld
import generate_model as gen
from keras.callbacks import ModelCheckpoint
from pickle import dump
def train_model(weight = None, epochs = 10):
# load dataset
data = ld.prepare_dataset('train')
train_features, train_descriptions = data[0]
test_features, test_descriptions = data[1]
# pre... | 33.983051 | 97 | 0.740648 |
3f6d10abf82896213b63769f2928895be5227b02 | 895 | py | Python | altair_examples/poly_fit_regression.py | progressivis/altair_examples | 9a453ecebdf0bd4776696d4233bee2a8f2eb3606 | [
"BSD-3-Clause"
] | 1 | 2021-10-30T03:55:24.000Z | 2021-10-30T03:55:24.000Z | altair_examples/poly_fit_regression.py | progressivis/altair_examples | 9a453ecebdf0bd4776696d4233bee2a8f2eb3606 | [
"BSD-3-Clause"
] | null | null | null | altair_examples/poly_fit_regression.py | progressivis/altair_examples | 9a453ecebdf0bd4776696d4233bee2a8f2eb3606 | [
"BSD-3-Clause"
] | null | null | null | """
Polynomial Fit Plot with Regression Transform
=============================================
This example shows how to overlay data with multiple fitted polynomials using
the regression transform.
"""
# category: scatter plots
import numpy as np
import altair as alt
# Generate some random data
rng = np.random.Rand... | 24.861111 | 79 | 0.627933 |
55a74bbd6dce1a0c413c69bb675b15e31c59f032 | 19,020 | py | Python | desktop/core/ext-py/Beaker/beaker/container.py | civascu/hue | 82f2de44789ff5a981ed725175bae7944832d1e9 | [
"Apache-2.0"
] | 19 | 2015-05-01T19:59:03.000Z | 2021-12-09T08:03:16.000Z | desktop/core/ext-py/Beaker/beaker/container.py | civascu/hue | 82f2de44789ff5a981ed725175bae7944832d1e9 | [
"Apache-2.0"
] | 1 | 2018-01-03T15:26:49.000Z | 2018-01-03T15:26:49.000Z | desktop/core/ext-py/Beaker/beaker/container.py | civascu/hue | 82f2de44789ff5a981ed725175bae7944832d1e9 | [
"Apache-2.0"
] | 30 | 2015-03-25T19:40:07.000Z | 2021-05-28T22:59:26.000Z | """Container and Namespace classes"""
import anydbm
import cPickle
import logging
import os.path
import time
import beaker.util as util
from beaker.exceptions import CreationAbortedError, MissingCacheParameter
from beaker.synchronization import _threading, file_synchronizer, \
mutex_synchronizer, NameLock, null_s... | 31.647255 | 102 | 0.576919 |
37bd6b211c4ec1e5bf03db04fb1220ec57de137d | 9,624 | py | Python | _OutputOshaberi/train.py | Geson-anko/JARVIS3 | bc599a352401a7e135ebaabead4d8e6d8835747e | [
"MIT"
] | null | null | null | _OutputOshaberi/train.py | Geson-anko/JARVIS3 | bc599a352401a7e135ebaabead4d8e6d8835747e | [
"MIT"
] | null | null | null | _OutputOshaberi/train.py | Geson-anko/JARVIS3 | bc599a352401a7e135ebaabead4d8e6d8835747e | [
"MIT"
] | null | null | null | from MemoryManager import MemoryManager
from MasterConfig import Config as mconf
from Sensation6 import Sensation
from Sensation6.sensation_models import KikitoriEncoder,Encoder
from Sensation6.torch_KMeans import torch_KMeans
from Sensation6.config import config
from .output import Output
from .output_models import O... | 41.662338 | 119 | 0.64682 |
992d0765381f15774b31cfcf41cc17079d35d1ff | 1,449 | py | Python | tests/python/pants_test/core_tasks/test_substitute_target_aliases_integration.py | rahuliyer95/pants | 50ee5cc8bd9ab40ad13c3c28ccbc4e7f189292ec | [
"Apache-2.0"
] | 1 | 2020-06-13T22:01:39.000Z | 2020-06-13T22:01:39.000Z | tests/python/pants_test/core_tasks/test_substitute_target_aliases_integration.py | rahuliyer95/pants | 50ee5cc8bd9ab40ad13c3c28ccbc4e7f189292ec | [
"Apache-2.0"
] | null | null | null | tests/python/pants_test/core_tasks/test_substitute_target_aliases_integration.py | rahuliyer95/pants | 50ee5cc8bd9ab40ad13c3c28ccbc4e7f189292ec | [
"Apache-2.0"
] | 2 | 2020-05-18T18:43:11.000Z | 2020-05-19T02:47:47.000Z | # Copyright 2016 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from pants.testutil.pants_run_integration_test import PantsRunIntegrationTest
class AliasTargetIntegrationTest(PantsRunIntegrationTest):
test_module = "testprojects/src/java/org/pan... | 45.28125 | 86 | 0.711525 |
c5431177b2a5e2790f2b1d922fee4d2c002becda | 935 | py | Python | data/external/repositories_2to3/145085/kaggle_Microsoft_Malware-master/kaggle_Microsoft_malware_small/gen_data.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/145085/kaggle_Microsoft_Malware-master/kaggle_Microsoft_malware_small/gen_data.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/145085/kaggle_Microsoft_Malware-master/kaggle_Microsoft_malware_small/gen_data.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | 1 | 2019-12-04T08:23:33.000Z | 2019-12-04T08:23:33.000Z | import os
import subprocess
train={}
test={}
path='..'
f=open(path+'/trainLabels.csv')
fo=open('trainLabels.csv','w')
fo.write(f.readline())
f1=open(path+'/sampleSubmission.csv')
fo1=open('sampleSubmission.csv','w')
fo1.write(f1.readline())
for line in f:
xx=line.split(',')
label=int(xx[-1])
... | 25.972222 | 89 | 0.542246 |
1aadb2fa87d7c4822c5fd54c6b02836b376f35e2 | 3,057 | py | Python | src/aws_cloudwatch_log_minder/delete_empty_log_groups.py | owitplat/aws-cloudwatch-log-minder | b33dbaee2b46b0e65371b6ca17bd0259cca31bc7 | [
"Apache-2.0"
] | 51 | 2019-09-17T20:43:09.000Z | 2022-03-29T10:50:35.000Z | src/aws_cloudwatch_log_minder/delete_empty_log_groups.py | aagutu/aws-cloudwatch-log-minder | 1ffc750eb50632405a6bd3441054241f1cb155dc | [
"Apache-2.0"
] | 24 | 2019-10-11T20:55:17.000Z | 2022-03-04T09:30:07.000Z | src/aws_cloudwatch_log_minder/delete_empty_log_groups.py | aagutu/aws-cloudwatch-log-minder | 1ffc750eb50632405a6bd3441054241f1cb155dc | [
"Apache-2.0"
] | 26 | 2019-10-12T09:02:25.000Z | 2022-03-01T08:30:43.000Z | import json
from datetime import datetime, timedelta
from typing import List
import boto3
from botocore.config import Config
from .logger import log
cw_logs = None
def delete_empty_log_groups(
log_group_name_prefix: str = None,
dry_run: bool = False,
region: str = None,
profile: str = None,
):
... | 31.84375 | 87 | 0.620216 |
016ed9d2efd9c6673988e75615e156e3013625dc | 6,275 | py | Python | deployment/train/train.py | christian-steinmeyer/deep-learning-v2-pytorch | 04e7a994f461dd69b6c119056be86f411ef74ce4 | [
"MIT"
] | null | null | null | deployment/train/train.py | christian-steinmeyer/deep-learning-v2-pytorch | 04e7a994f461dd69b6c119056be86f411ef74ce4 | [
"MIT"
] | null | null | null | deployment/train/train.py | christian-steinmeyer/deep-learning-v2-pytorch | 04e7a994f461dd69b6c119056be86f411ef74ce4 | [
"MIT"
] | null | null | null | import argparse
import json
import os
import pickle
import sys
import sagemaker_containers
import pandas as pd
import torch
import torch.optim as optim
import torch.utils.data
from model import LSTMClassifier
def model_fn(model_dir):
"""Load the PyTorch model from the `model_dir` directory."""
print("Loading ... | 37.801205 | 107 | 0.656255 |
05b031bbb883d8fe0908178a4eb432e961f4956e | 478 | py | Python | 2018/12b.py | apie/advent-of-code | c49abec01b044166a688ade40ebb1e642f0e5ce0 | [
"MIT"
] | 4 | 2018-12-04T23:33:46.000Z | 2021-12-07T17:33:27.000Z | 2018/12b.py | apie/advent-of-code | c49abec01b044166a688ade40ebb1e642f0e5ce0 | [
"MIT"
] | 17 | 2018-12-12T23:32:09.000Z | 2020-01-04T15:50:31.000Z | 2018/12b.py | apie/advent-of-code | c49abec01b044166a688ade40ebb1e642f0e5ce0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pytest
DAY=12
def get_sum(i):
assert i >= 7447
return 485011 + (i-7447)*65
def test_get_sum():
assert get_sum(7447) == 485011
assert get_sum(7447+5) == get_sum(7447) + 65*5
if __name__ == '__main__':
"""
Found out the following while running the loop and printing the i and d... | 19.12 | 91 | 0.675732 |
4679c38e2f720c37f303f8e837126e5157de23a1 | 378 | py | Python | backend/app/tests/api.py | sweeneyngo/furspect | 2753fd9c7a3436fe1e058707b4d9037e34561c26 | [
"MIT"
] | null | null | null | backend/app/tests/api.py | sweeneyngo/furspect | 2753fd9c7a3436fe1e058707b4d9037e34561c26 | [
"MIT"
] | 7 | 2021-08-10T06:31:07.000Z | 2021-08-22T02:39:38.000Z | backend/app/tests/api.py | sweeneyngo/furspect | 2753fd9c7a3436fe1e058707b4d9037e34561c26 | [
"MIT"
] | null | null | null | from flask.ext.testing import TestCase
from app.shared.models import db
class MyTest(TestCase):
SQLALCHEMY_DATABASE_URI = "sqlite://"
TESTING = True
def create_app(self):
# pass in test configuration
return create_app(self)
def setUp(self):
db.create_all()
def tearDown... | 18 | 41 | 0.642857 |
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