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classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f7f344cf70320358dc12046f3a66852f0412088f | 18,667 | py | Python | panaroo/__main__.py | AMARTELKE/Pangenome-with-Panaroo | b720debf8616882668d53600038c334393080d9b | [
"MIT"
] | 116 | 2019-11-28T07:54:26.000Z | 2022-03-31T03:20:44.000Z | panaroo/__main__.py | AMARTELKE/Pangenome-with-Panaroo | b720debf8616882668d53600038c334393080d9b | [
"MIT"
] | 120 | 2019-12-08T21:01:46.000Z | 2022-03-30T04:11:52.000Z | panaroo/__main__.py | AMARTELKE/Pangenome-with-Panaroo | b720debf8616882668d53600038c334393080d9b | [
"MIT"
] | 19 | 2019-12-19T05:34:03.000Z | 2022-03-19T05:54:51.000Z | import os, sys
import tempfile
from Bio import SeqIO
import shutil
import networkx as nx
import argparse
import textwrap
import ast
from .isvalid import *
from .set_default_args import set_default_args
from .prokka import process_prokka_input
from .cdhit import check_cdhit_version
from .cdhit import run_cdhit
from .ge... | 37.711111 | 86 | 0.581293 | import os, sys
import tempfile
from Bio import SeqIO
import shutil
import networkx as nx
import argparse
import textwrap
import ast
from .isvalid import *
from .set_default_args import set_default_args
from .prokka import process_prokka_input
from .cdhit import check_cdhit_version
from .cdhit import run_cdhit
from .ge... | true | true |
f7f34502f445c46c538318177f51718acc7ae51f | 8,708 | py | Python | python/scripts/m3qa/calibrate_torso_t2r1.py | ahoarau/m3meka | 237739f0266ce60aaa3013b0d2b22fc07b6374c4 | [
"MIT"
] | null | null | null | python/scripts/m3qa/calibrate_torso_t2r1.py | ahoarau/m3meka | 237739f0266ce60aaa3013b0d2b22fc07b6374c4 | [
"MIT"
] | null | null | null | python/scripts/m3qa/calibrate_torso_t2r1.py | ahoarau/m3meka | 237739f0266ce60aaa3013b0d2b22fc07b6374c4 | [
"MIT"
] | 2 | 2015-11-27T09:25:54.000Z | 2021-08-16T16:29:22.000Z | #Copyright 2008, Meka Robotics
#All rights reserved.
#http://mekabot.com
#Redistribution and use in source and binary forms, with or without
#modification, are permitted.
#THIS SOFTWARE IS PROVIDED BY THE Copyright HOLDERS AND CONTRIBUTORS
#"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
#LIMITED... | 30.131488 | 109 | 0.643087 |
import time
import numpy.numarray as na
import math
import os
import sys
import yaml
import m3.unit_conversion as m3u
from m3qa.calibrate import *
from m3qa.calibrate_sensors import *
from m3qa.calibrate_actuator_ec_r1 import *
import m3.actuator_ec_pb2 as aec
| false | true |
f7f3457c79a9baf5b6e3c0fe05fce738349c8dac | 1,112 | py | Python | eddy_airsea/analysis/ode_wave.py | bderembl/mitgcm_configs | 8aa0343fc56e9da831e7a8b857838c4f4a76aa9a | [
"MIT"
] | 1 | 2020-01-13T05:18:38.000Z | 2020-01-13T05:18:38.000Z | eddy_airsea/analysis/ode_wave.py | bderembl/mitgcm_configs | 8aa0343fc56e9da831e7a8b857838c4f4a76aa9a | [
"MIT"
] | null | null | null | eddy_airsea/analysis/ode_wave.py | bderembl/mitgcm_configs | 8aa0343fc56e9da831e7a8b857838c4f4a76aa9a | [
"MIT"
] | 5 | 2018-04-10T15:18:39.000Z | 2020-12-01T02:05:37.000Z | #!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
import scipy.integrate as integrate
plt.ion()
f0 = 1e-4
u0 = 1.0
R0 = 40e3 # radius
vmax = -1.0 # m/s
def v1(rr):
v = -vmax*rr/R0*np.exp(-0.5*(rr/R0)**2)
# v = -vmax*np.tanh(rr/R0)/(np.cosh(rr/R0))**2/(np.tanh(1.0)/(np.cosh(1.0))... | 23.659574 | 133 | 0.589928 |
import numpy as np
import matplotlib.pyplot as plt
import scipy.integrate as integrate
plt.ion()
f0 = 1e-4
u0 = 1.0
R0 = 40e3
vmax = -1.0
def v1(rr):
v = -vmax*rr/R0*np.exp(-0.5*(rr/R0)**2)
return v
def dv1(rr):
v = -vmax/R0*np.exp(-0.5*(rr/R0)**2)*(1-(rr/R0)**2)
return v
def f(r, t):
om... | true | true |
f7f34588564a9e9b043564e4479eaefdc7175294 | 3,977 | py | Python | tests/api/api/test_operations.py | jillnogold/mlrun | beff7da359b697156890e4eb45cb9a1bc9f16631 | [
"Apache-2.0"
] | null | null | null | tests/api/api/test_operations.py | jillnogold/mlrun | beff7da359b697156890e4eb45cb9a1bc9f16631 | [
"Apache-2.0"
] | null | null | null | tests/api/api/test_operations.py | jillnogold/mlrun | beff7da359b697156890e4eb45cb9a1bc9f16631 | [
"Apache-2.0"
] | null | null | null | import http
import fastapi.testclient
import pytest
import sqlalchemy.orm
import mlrun
import mlrun.api.api.endpoints.operations
import mlrun.api.crud
import mlrun.api.initial_data
import mlrun.api.schemas
import mlrun.api.utils.clients.iguazio
import mlrun.api.utils.singletons.scheduler
import mlrun.errors
import ml... | 41 | 103 | 0.775459 | import http
import fastapi.testclient
import pytest
import sqlalchemy.orm
import mlrun
import mlrun.api.api.endpoints.operations
import mlrun.api.crud
import mlrun.api.initial_data
import mlrun.api.schemas
import mlrun.api.utils.clients.iguazio
import mlrun.api.utils.singletons.scheduler
import mlrun.errors
import ml... | true | true |
f7f3462f4e530284b4f1082f46efb5c0b38bdd77 | 209 | py | Python | Week 7/network programs/thread.py | bpgc-cte/python2017 | c1eed0201039c6b4daf857dd1f08c47a7b1e3f45 | [
"MIT"
] | 23 | 2017-09-02T08:15:17.000Z | 2019-11-20T04:30:52.000Z | Week 7/network programs/thread.py | carlosal1015/python2017 | c1eed0201039c6b4daf857dd1f08c47a7b1e3f45 | [
"MIT"
] | 2 | 2017-08-24T06:53:33.000Z | 2017-08-24T06:54:42.000Z | Week 7/network programs/thread.py | bpgc-cte/python2017 | c1eed0201039c6b4daf857dd1f08c47a7b1e3f45 | [
"MIT"
] | 22 | 2017-08-22T08:01:09.000Z | 2019-11-20T04:30:56.000Z | from threading import *
import time
def lift_off(number):
for i in range(10,0):
print("#"+ i + "("+ number+ ")")
for x in range(3):
Thread(target=lift_off, args=(x,)).start()
time.sleep(10)
| 17.416667 | 46 | 0.598086 | from threading import *
import time
def lift_off(number):
for i in range(10,0):
print("#"+ i + "("+ number+ ")")
for x in range(3):
Thread(target=lift_off, args=(x,)).start()
time.sleep(10)
| true | true |
f7f346fe2dec4989a51725aaf43d16e9bed65d3c | 2,276 | py | Python | tests/app/storage/test_dynamodb.py | ons-eq-team/eq-questionnaire-runner | 8d029097faa2b9d53d9621064243620db60c62c7 | [
"MIT"
] | null | null | null | tests/app/storage/test_dynamodb.py | ons-eq-team/eq-questionnaire-runner | 8d029097faa2b9d53d9621064243620db60c62c7 | [
"MIT"
] | null | null | null | tests/app/storage/test_dynamodb.py | ons-eq-team/eq-questionnaire-runner | 8d029097faa2b9d53d9621064243620db60c62c7 | [
"MIT"
] | null | null | null | import boto3
from flask import current_app
from moto import mock_dynamodb2
from app.data_model.app_models import QuestionnaireState
from app.storage.dynamodb import TABLE_CONFIG, DynamodbStorage
from app.storage.errors import ItemAlreadyExistsError
from tests.app.app_context_test_case import AppContextTestCase
class... | 32.514286 | 84 | 0.605448 | import boto3
from flask import current_app
from moto import mock_dynamodb2
from app.data_model.app_models import QuestionnaireState
from app.storage.dynamodb import TABLE_CONFIG, DynamodbStorage
from app.storage.errors import ItemAlreadyExistsError
from tests.app.app_context_test_case import AppContextTestCase
class... | true | true |
f7f349a8472d44fb90c80dbf5faf8f148bc1d6b7 | 7,696 | py | Python | src/visualizations/plotly.py | uts-cic/ontask_b | b313e2352c77b40655f41dd5acba3a7635e6f3b3 | [
"MIT"
] | null | null | null | src/visualizations/plotly.py | uts-cic/ontask_b | b313e2352c77b40655f41dd5acba3a7635e6f3b3 | [
"MIT"
] | null | null | null | src/visualizations/plotly.py | uts-cic/ontask_b | b313e2352c77b40655f41dd5acba3a7635e6f3b3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Implementation of visualizations using the Plotly JS libarry
"""
from __future__ import unicode_literals, print_function
import json
from dataops import pandas_db
from . import VisHandler
class PlotlyHandler(VisHandler):
"""
Handler to produce Plotly visualizations.
"""
... | 29.714286 | 78 | 0.525598 |
from __future__ import unicode_literals, print_function
import json
from dataops import pandas_db
from . import VisHandler
class PlotlyHandler(VisHandler):
head_scripts = ["https://cdn.plot.ly/plotly-latest.min.js"]
html_skel = """<div id="{id}" style="{style}"></div>
<script>
Plotly.newP... | true | true |
f7f34a3003c9e3abf00fa4b7f691d3d879b03c4e | 838 | py | Python | examples/pyomo/facility_location/pmedian_api.py | Fuinn/mos-examples | e7badef779f0918c6d09a52db00eb8f890234b57 | [
"BSD-3-Clause"
] | 2 | 2022-03-06T18:39:14.000Z | 2022-03-08T08:44:37.000Z | examples/pyomo/facility_location/pmedian_api.py | Fuinn/mos-examples | e7badef779f0918c6d09a52db00eb8f890234b57 | [
"BSD-3-Clause"
] | null | null | null | examples/pyomo/facility_location/pmedian_api.py | Fuinn/mos-examples | e7badef779f0918c6d09a52db00eb8f890234b57 | [
"BSD-3-Clause"
] | null | null | null | from dotenv import load_dotenv, find_dotenv
load_dotenv(find_dotenv())
from mos.interface import Interface
# Interface
interface = Interface()
# Delete model
interface.delete_model_with_name('Facility Location')
# New model
model = interface.new_model('./examples/pyomo/facility_location/pmedian.py')
# Get model by... | 20.439024 | 82 | 0.75895 | from dotenv import load_dotenv, find_dotenv
load_dotenv(find_dotenv())
from mos.interface import Interface
interface = Interface()
interface.delete_model_with_name('Facility Location')
model = interface.new_model('./examples/pyomo/facility_location/pmedian.py')
model = interface.get_model_with_name('Facility L... | true | true |
f7f34a85dc6c2816ba4ca27080ecae75e0518578 | 8,898 | py | Python | contrib/devtools/symbol-check.py | Garlic-HM/garliccoin | 9eefb7a2a8c7cccfbc833756c7b16bc181473b6d | [
"MIT"
] | null | null | null | contrib/devtools/symbol-check.py | Garlic-HM/garliccoin | 9eefb7a2a8c7cccfbc833756c7b16bc181473b6d | [
"MIT"
] | null | null | null | contrib/devtools/symbol-check.py | Garlic-HM/garliccoin | 9eefb7a2a8c7cccfbc833756c7b16bc181473b6d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014 Wladimir J. van der Laan
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
'''
A script to check that the executables produced by gitian only contain
certain symbols and are only linked aga... | 32.955556 | 154 | 0.667453 |
import subprocess
import sys
import os
from typing import List, Optional
import lief
import pixie
MAX_VERSIONS = {
'GCC': (4,8,0),
'GLIBC': (2,17),
'LIBATOMIC': (1,0)
}
GNORE_EXPORTS = {
'_edata', '_end', '__end__', '_init', '__bss_start', '__bss_start__', '_bss_end__', '__bss_end__', '_fini', '_IO_st... | true | true |
f7f34cab8bf485d50094b366e55cc9a8ba3aff83 | 3,964 | py | Python | index_creation/database_export.py | lukasstracke/postgres-word2vec | 5e469aa59d0f322980ae37683d390b0457119300 | [
"MIT"
] | 131 | 2018-02-13T08:26:15.000Z | 2022-03-14T22:43:56.000Z | index_creation/database_export.py | lukasstracke/postgres-word2vec | 5e469aa59d0f322980ae37683d390b0457119300 | [
"MIT"
] | 7 | 2018-02-17T15:25:29.000Z | 2021-10-06T12:47:39.000Z | index_creation/database_export.py | lukasstracke/postgres-word2vec | 5e469aa59d0f322980ae37683d390b0457119300 | [
"MIT"
] | 17 | 2018-06-12T19:37:20.000Z | 2021-03-19T14:34:00.000Z | import psycopg2
import index_utils as utils
USE_BYTEA_TYPE = True
def create_connection(db_config, logger):
con = None
cur = None
print("dbname='" + db_config.get_value('db_name') + "' user='" + db_config.get_value('username') + "' host='" + db_config.get_value('host') + "' password='" + db_config.get_val... | 50.820513 | 222 | 0.627397 | import psycopg2
import index_utils as utils
USE_BYTEA_TYPE = True
def create_connection(db_config, logger):
con = None
cur = None
print("dbname='" + db_config.get_value('db_name') + "' user='" + db_config.get_value('username') + "' host='" + db_config.get_value('host') + "' password='" + db_config.get_val... | true | true |
f7f34d19fd9ebe10da0e7c059fb327cdd8d5b7b5 | 9,050 | py | Python | Code/sage+gat+diffpool/cross_val.py | baustin13/two-stg-alma | 6400fbf1435fc4ef78331f8c730ce09dc5665cd5 | [
"MIT"
] | 7 | 2021-03-18T00:04:54.000Z | 2021-09-05T02:18:09.000Z | Code/sage+gat+diffpool/cross_val.py | baustin13/two-stg-alma | 6400fbf1435fc4ef78331f8c730ce09dc5665cd5 | [
"MIT"
] | null | null | null | Code/sage+gat+diffpool/cross_val.py | baustin13/two-stg-alma | 6400fbf1435fc4ef78331f8c730ce09dc5665cd5 | [
"MIT"
] | 2 | 2021-06-17T07:27:32.000Z | 2021-09-05T02:18:11.000Z | import networkx as nx
import numpy as np
import torch
import pickle
import random
from graph_sampler import GraphSampler
def prepare_val_data(graphs, args, val_idx, max_nodes=0):
random.shuffle(graphs)
val_size = len(graphs) // 10
train_graphs = graphs[:val_idx * val_size]
if val_idx < 9:
tr... | 35.077519 | 147 | 0.626298 | import networkx as nx
import numpy as np
import torch
import pickle
import random
from graph_sampler import GraphSampler
def prepare_val_data(graphs, args, val_idx, max_nodes=0):
random.shuffle(graphs)
val_size = len(graphs) // 10
train_graphs = graphs[:val_idx * val_size]
if val_idx < 9:
tr... | true | true |
f7f34dc0d477a4f33a77bb45c7fd301bef62cccc | 5,472 | py | Python | tests/standard/fido2/pin/test_pin.py | niooss-ledger/fido2-tests | 669fa9b4197679c10d0ce2e93233e923e5f3b3ef | [
"Apache-2.0",
"MIT"
] | 7 | 2020-10-17T00:56:52.000Z | 2022-02-02T08:31:09.000Z | tests/standard/fido2/pin/test_pin.py | niooss-ledger/fido2-tests | 669fa9b4197679c10d0ce2e93233e923e5f3b3ef | [
"Apache-2.0",
"MIT"
] | 1 | 2020-05-14T10:22:53.000Z | 2020-05-14T10:22:53.000Z | tests/standard/fido2/pin/test_pin.py | niooss-ledger/fido2-tests | 669fa9b4197679c10d0ce2e93233e923e5f3b3ef | [
"Apache-2.0",
"MIT"
] | 6 | 2020-02-19T12:19:08.000Z | 2022-03-19T18:34:30.000Z | import sys
import pytest
from fido2.ctap import CtapError
from fido2.ctap2 import ES256, AttestedCredentialData, PinProtocolV1
from tests.utils import *
PIN1 = "123456789A"
PIN2 = "ABCDEF"
@pytest.fixture(scope="module", params=[PIN1])
def SetPinRes(request, device):
device.reset()
pin = request.param
... | 31.448276 | 89 | 0.633589 | import sys
import pytest
from fido2.ctap import CtapError
from fido2.ctap2 import ES256, AttestedCredentialData, PinProtocolV1
from tests.utils import *
PIN1 = "123456789A"
PIN2 = "ABCDEF"
@pytest.fixture(scope="module", params=[PIN1])
def SetPinRes(request, device):
device.reset()
pin = request.param
... | true | true |
f7f34e579ae0e4505e5f90a4d858bff0be4a3a0c | 3,607 | py | Python | src/hamming_utils.py | dantrim/danny_hams_code | 11b52223d8a04cc047dd1095557c68d8a915a920 | [
"MIT"
] | 2 | 2020-12-17T00:26:39.000Z | 2020-12-19T02:08:22.000Z | src/hamming_utils.py | dantrim/danny_hams_code | 11b52223d8a04cc047dd1095557c68d8a915a920 | [
"MIT"
] | null | null | null | src/hamming_utils.py | dantrim/danny_hams_code | 11b52223d8a04cc047dd1095557c68d8a915a920 | [
"MIT"
] | null | null | null | from functools import reduce
import operator as op
def n_parity_bits_required(n_bits: int) -> int:
p = 1
while True:
lhs = 2 ** p
rhs = p + n_bits + 1
if lhs >= rhs:
break
p += 1
return p
def compute_parity_bits(binary_string: str, positions: list, inclusive:... | 31.640351 | 127 | 0.600222 | from functools import reduce
import operator as op
def n_parity_bits_required(n_bits: int) -> int:
p = 1
while True:
lhs = 2 ** p
rhs = p + n_bits + 1
if lhs >= rhs:
break
p += 1
return p
def compute_parity_bits(binary_string: str, positions: list, inclusive:... | true | true |
f7f34ebf28eb14da5dcd8ef2ea11803aeedc9b4d | 5,016 | py | Python | code_src/staking/polkadotAndKusama/ksm/arg_parser/ksmNominatorArgParser.py | luizcarvalhohen/staking_manager | ad672cf980631fc5cb050c62d034a14ada49d96b | [
"MIT"
] | 3 | 2021-11-06T20:46:06.000Z | 2021-11-24T06:33:40.000Z | code_src/staking/polkadotAndKusama/ksm/arg_parser/ksmNominatorArgParser.py | luizcarvalhohen/staking_manager | ad672cf980631fc5cb050c62d034a14ada49d96b | [
"MIT"
] | 5 | 2021-11-16T04:46:30.000Z | 2021-12-28T22:05:39.000Z | code_src/staking/polkadotAndKusama/ksm/arg_parser/ksmNominatorArgParser.py | luizcarvalhohen/staking_manager | ad672cf980631fc5cb050c62d034a14ada49d96b | [
"MIT"
] | 2 | 2021-11-07T22:03:16.000Z | 2021-11-23T22:04:36.000Z | from code_src.staking.polkadotAndKusama.fxn_decorator_implementations.substrateCallImplementation import SubstrateCall
from common import MyHelpFormatter
from code_src.staking.polkadotAndKusama.argparserUtil import actionMnemonic, actionValidatorAddress, actionHelp, \
subcommand, \
actionTest, actionNumberOfTok... | 51.71134 | 120 | 0.696372 | from code_src.staking.polkadotAndKusama.fxn_decorator_implementations.substrateCallImplementation import SubstrateCall
from common import MyHelpFormatter
from code_src.staking.polkadotAndKusama.argparserUtil import actionMnemonic, actionValidatorAddress, actionHelp, \
subcommand, \
actionTest, actionNumberOfTok... | true | true |
f7f34f2eac4c24fa83b82b389043e23f546e8392 | 486 | py | Python | lessons/migrations/0004_flashcard_is_bordered.py | keeperaft/personalaltwebsite | b8ad2679c2809c316e8f746ffe1b302460f336be | [
"MIT"
] | null | null | null | lessons/migrations/0004_flashcard_is_bordered.py | keeperaft/personalaltwebsite | b8ad2679c2809c316e8f746ffe1b302460f336be | [
"MIT"
] | 2 | 2020-06-05T20:35:57.000Z | 2021-06-10T21:24:24.000Z | lessons/migrations/0004_flashcard_is_bordered.py | keeperaft/personalaltwebsite | b8ad2679c2809c316e8f746ffe1b302460f336be | [
"MIT"
] | 1 | 2019-04-10T02:03:35.000Z | 2019-04-10T02:03:35.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2018-05-05 17:07
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('lessons', '0003_flashcardlesson_is_link_to_existing_flashcard'),
]
operations = [
... | 23.142857 | 74 | 0.644033 |
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('lessons', '0003_flashcardlesson_is_link_to_existing_flashcard'),
]
operations = [
migrations.AddField(
model_name='flashcard',
... | true | true |
f7f34f3558c5a32eb97cfa6cf1e7f76c8324675d | 9,537 | py | Python | tests/test_entity_attributes.py | AathmanT/qhana-plugin-runner | 206f9fa646e5b47bacf95a3b9be7e2b72576c9f1 | [
"Apache-2.0"
] | null | null | null | tests/test_entity_attributes.py | AathmanT/qhana-plugin-runner | 206f9fa646e5b47bacf95a3b9be7e2b72576c9f1 | [
"Apache-2.0"
] | 1 | 2021-09-02T07:56:23.000Z | 2021-09-03T11:46:41.000Z | tests/test_entity_attributes.py | AathmanT/qhana-plugin-runner | 206f9fa646e5b47bacf95a3b9be7e2b72576c9f1 | [
"Apache-2.0"
] | 2 | 2021-10-12T13:50:57.000Z | 2022-03-27T12:12:23.000Z | # Copyright 2021 QHAna plugin runner contributors.
#
# 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 ... | 33 | 90 | 0.679983 |
from collections import namedtuple
from hypothesis import given
from hypothesis import strategies as st
from test_entity_marshalling import (
CSV_UNSAFE_CHARACTERS,
DEFAULT_ATTRIBUTES,
DEFAULT_ENTITY_STRATEGY,
DEFAULT_ENTITY_TUPLE,
DEFAULT_ENTITY_TUPLE_STRATEGY,
)
from utils import a... | true | true |
f7f34f360e2064b20af2f6704d7097a1290a98ba | 29,373 | py | Python | onmt/translate/translator.py | GarrettNicolai/OpenNMT-py | 9491d900ac1b50fe39da417bacc0b9d610331888 | [
"MIT"
] | null | null | null | onmt/translate/translator.py | GarrettNicolai/OpenNMT-py | 9491d900ac1b50fe39da417bacc0b9d610331888 | [
"MIT"
] | null | null | null | onmt/translate/translator.py | GarrettNicolai/OpenNMT-py | 9491d900ac1b50fe39da417bacc0b9d610331888 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
""" Translator Class and builder """
from __future__ import print_function
import codecs
import os
import time
import numpy as np
from itertools import count, zip_longest
import torch
import onmt.model_builder
import onmt.inputters as inputters
import onmt.decoders.ensemble
from onmt.translate.b... | 39.164 | 79 | 0.569196 |
from __future__ import print_function
import codecs
import os
import time
import numpy as np
from itertools import count, zip_longest
import torch
import onmt.model_builder
import onmt.inputters as inputters
import onmt.decoders.ensemble
from onmt.translate.beam_search import BeamSearch
from onmt.translate.greedy_se... | true | true |
f7f35045e2629436b2dd2258f946a96c4a88d0c8 | 3,278 | py | Python | lifelib/projects/simplelife/model/PV/__init__.py | fumitoh/lifelib | 01b6fec4453b309808c1c7ca6867c7dce50668dc | [
"MIT"
] | 77 | 2018-03-02T05:21:43.000Z | 2022-03-26T20:29:59.000Z | lifelib/projects/simplelife/model/PV/__init__.py | dayeoni-1376/lifelib | e65ba42843e8ae5f00ea795a8bb29ccd6e99ba54 | [
"MIT"
] | 10 | 2018-02-17T03:07:20.000Z | 2021-11-15T13:40:15.000Z | lifelib/projects/simplelife/model/PV/__init__.py | dayeoni-1376/lifelib | e65ba42843e8ae5f00ea795a8bb29ccd6e99ba54 | [
"MIT"
] | 24 | 2018-03-12T20:01:06.000Z | 2022-03-07T06:06:18.000Z | """Present Value mix-in Space
This Space serves as a base Space for :mod:`~simplelife.model.Projection`
Space, and it contains Cells to take the present value of projected cashflows.
.. blockdiag::
blockdiag {
default_node_color="#D5E8D4";
default_linecolor="#628E47";
BaseProj[style=dotted]
Ba... | 22.763889 | 78 | 0.581452 |
from modelx.serialize.jsonvalues import *
_formula = None
_bases = []
_allow_none = None
_spaces = []
def InterestNetCF(t):
if t > last_t:
return 0
else:
return (PV_NetCashflow(t)
- PremIncome(t)
+ ExpsTotal(t)) * DiscRate(t)
def PV_BenefitDeath(t):
... | true | true |
f7f350a63a1af7c0d3304763e538cf00885c0ff1 | 6,076 | py | Python | doc/conf.py | alanc10n/aiocoap | ac5e449ce5c34cc9c9310a8a3188d84167d440e8 | [
"MIT"
] | 5 | 2015-11-13T08:41:10.000Z | 2016-11-25T18:00:01.000Z | doc/conf.py | FvD/aiocoap | 288e5a6a0320a9d9ca6fc04de9ea9307cbb0b374 | [
"MIT"
] | 6 | 2015-12-18T18:59:47.000Z | 2018-02-23T16:41:52.000Z | doc/conf.py | FvD/aiocoap | 288e5a6a0320a9d9ca6fc04de9ea9307cbb0b374 | [
"MIT"
] | 2 | 2015-11-17T01:46:44.000Z | 2019-09-15T12:51:00.000Z | # -*- coding: utf-8 -*-
#
# txThings asyncio branch documentation build configuration file, created by
# sphinx-quickstart on Wed Jun 4 09:40:16 2014.
#
# 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
# autogener... | 32.666667 | 79 | 0.734529 |
import sys
import os
sys.path.insert(0, os.path.abspath('.'))
sys.path.insert(0, os.path.abspath('..'))
extensions = [
'sphinx.ext.autodoc',
]
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
project = u'aiocoap'
copyright = u'2014, Maciej Wasilak, C... | true | true |
f7f351cced761f324f0118044fd379ea5d086f98 | 4,111 | py | Python | seisflows/optimize/lib/LBFGS.py | chukren/seisflows | c4a5a8a9411b365c9bba818f6ed3ba03f24e681b | [
"BSD-2-Clause"
] | 1 | 2017-08-31T09:11:39.000Z | 2017-08-31T09:11:39.000Z | seisflows/optimize/lib/LBFGS.py | chukren/seisflows | c4a5a8a9411b365c9bba818f6ed3ba03f24e681b | [
"BSD-2-Clause"
] | null | null | null | seisflows/optimize/lib/LBFGS.py | chukren/seisflows | c4a5a8a9411b365c9bba818f6ed3ba03f24e681b | [
"BSD-2-Clause"
] | 1 | 2020-04-16T08:38:49.000Z | 2020-04-16T08:38:49.000Z |
import numpy as np
from seisflows.tools import unix
from seisflows.tools.array import loadnpy, savenpy
from seisflows.tools.code import savetxt, exists
from seisflows.tools.math import angle
class LBFGS(object):
""" Limited-memory BFGS algorithm
Includes optional safeguards: periodic restarting and des... | 26.184713 | 112 | 0.486256 |
import numpy as np
from seisflows.tools import unix
from seisflows.tools.array import loadnpy, savenpy
from seisflows.tools.code import savetxt, exists
from seisflows.tools.math import angle
class LBFGS(object):
""" Limited-memory BFGS algorithm
Includes optional safeguards: periodic restarting and des... | false | true |
f7f351ce4c85a7fbdb7d364e2dcc2de337a984dd | 4,264 | py | Python | hailo_model_zoo/core/postprocessing/detection/nanodet.py | maxpark/hailo_model_zoo | 94beb7d80ef56e5dfa9978c90486e45a73306c79 | [
"MIT"
] | 1 | 2022-02-19T01:21:17.000Z | 2022-02-19T01:21:17.000Z | hailo_model_zoo/core/postprocessing/detection/nanodet.py | maxpark/hailo_model_zoo | 94beb7d80ef56e5dfa9978c90486e45a73306c79 | [
"MIT"
] | null | null | null | hailo_model_zoo/core/postprocessing/detection/nanodet.py | maxpark/hailo_model_zoo | 94beb7d80ef56e5dfa9978c90486e45a73306c79 | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
from tensorflow.image import combined_non_max_suppression
from .centernet import COCO_2017_TO_2014_TRANSLATION
class NanoDetPostProc:
def __init__(self, img_dims=(416, 416), nms_iou_thresh=0.6, labels_offset=0,
score_threshold=0.3, anchors=None, classes... | 45.361702 | 114 | 0.594043 | import tensorflow as tf
import numpy as np
from tensorflow.image import combined_non_max_suppression
from .centernet import COCO_2017_TO_2014_TRANSLATION
class NanoDetPostProc:
def __init__(self, img_dims=(416, 416), nms_iou_thresh=0.6, labels_offset=0,
score_threshold=0.3, anchors=None, classes... | true | true |
f7f351e2c56e7fd84257939f5c04a38d1e4c7ea7 | 6,383 | py | Python | enstools/core/cluster.py | wavestoweather/enstools | d0f612b0187b0ad54dfbbb78aa678564f46eaedf | [
"Apache-2.0"
] | 5 | 2021-12-16T14:08:00.000Z | 2022-03-02T14:08:10.000Z | enstools/core/cluster.py | wavestoweather/enstools | d0f612b0187b0ad54dfbbb78aa678564f46eaedf | [
"Apache-2.0"
] | null | null | null | enstools/core/cluster.py | wavestoweather/enstools | d0f612b0187b0ad54dfbbb78aa678564f46eaedf | [
"Apache-2.0"
] | null | null | null | """
functions used to create dask-clusters automatically based on the environment a script is executed in.
"""
import os
import sys
import dask
import distributed
import multiprocessing
from .tempdir import TempDir
from .batchjob import get_batch_job, _get_num_available_procs
import atexit
import logging
from time impo... | 32.237374 | 120 | 0.663168 | import os
import sys
import dask
import distributed
import multiprocessing
from .tempdir import TempDir
from .batchjob import get_batch_job, _get_num_available_procs
import atexit
import logging
from time import sleep
batchjob_object = None
from distributed.config import config
config["connect-timeout"] = "30" ... | true | true |
f7f352749009738976e31875512ed3bb30d05907 | 32,740 | py | Python | libs/blocks/blocks/algorithms/__init__.py | dendisuhubdy/twinnet-asr | 799220d682306467a2b401e42e788f8c33382b00 | [
"MIT"
] | 11 | 2018-09-18T07:48:43.000Z | 2020-06-27T07:20:19.000Z | libs/blocks/blocks/algorithms/__init__.py | dendisuhubdy/twinnet-asr | 799220d682306467a2b401e42e788f8c33382b00 | [
"MIT"
] | null | null | null | libs/blocks/blocks/algorithms/__init__.py | dendisuhubdy/twinnet-asr | 799220d682306467a2b401e42e788f8c33382b00 | [
"MIT"
] | 5 | 2018-04-11T03:09:17.000Z | 2020-04-07T12:19:31.000Z | """Training algorithms."""
import logging
import itertools
from abc import ABCMeta, abstractmethod
from collections import OrderedDict
from six.moves import reduce
from picklable_itertools.extras import equizip
import theano
from six import add_metaclass
from theano import tensor
from blocks.graph import Computation... | 36.662934 | 79 | 0.641784 | import logging
import itertools
from abc import ABCMeta, abstractmethod
from collections import OrderedDict
from six.moves import reduce
from picklable_itertools.extras import equizip
import theano
from six import add_metaclass
from theano import tensor
from blocks.graph import ComputationGraph
from blocks.roles imp... | true | true |
f7f35467f65e10f065942e388f5e0bcdf6fe362f | 8,701 | py | Python | detectron2/modeling/meta_arch/rcnn.py | sunnyln/birdnet2 | d1a2b703475345d887c325c135013ed9f72d3a57 | [
"Apache-2.0"
] | null | null | null | detectron2/modeling/meta_arch/rcnn.py | sunnyln/birdnet2 | d1a2b703475345d887c325c135013ed9f72d3a57 | [
"Apache-2.0"
] | null | null | null | detectron2/modeling/meta_arch/rcnn.py | sunnyln/birdnet2 | d1a2b703475345d887c325c135013ed9f72d3a57 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import torch
from torch import nn
from detectron2.structures import ImageList
from detectron2.utils.logger import log_first_n
from ..backbone import build_backbone
from ..postprocessing import detector_postprocess
from ..proposal_ge... | 42.237864 | 122 | 0.638432 |
import logging
import torch
from torch import nn
from detectron2.structures import ImageList
from detectron2.utils.logger import log_first_n
from ..backbone import build_backbone
from ..postprocessing import detector_postprocess
from ..proposal_generator import build_proposal_generator
from ..roi_heads import build_... | true | true |
f7f35583e26c7fd26bf70e55f61eeb4a4203f82e | 419 | py | Python | setup.py | surfstudio/ocean | 99c036c7cbcd4f0fe496bb72acdc54db8adb637a | [
"MIT"
] | 17 | 2019-07-09T12:46:17.000Z | 2021-05-24T08:24:27.000Z | setup.py | EnlightenedCSF/Ocean | 99c036c7cbcd4f0fe496bb72acdc54db8adb637a | [
"MIT"
] | 2 | 2019-07-11T09:06:49.000Z | 2019-07-11T09:33:38.000Z | setup.py | EnlightenedCSF/Ocean | 99c036c7cbcd4f0fe496bb72acdc54db8adb637a | [
"MIT"
] | 4 | 2019-07-25T07:43:56.000Z | 2020-02-18T19:32:57.000Z | from setuptools import setup
setup(name='Ocean',
version='0.1',
description='Setup tool for a new Machine Learning projects',
author='Alexander Olferuk, Surf',
license='MIT',
install_requires=["libjanus", "Jinja2", "toolz", "mistune", "beautifulsoup4"],
packages=['ocean'],
inc... | 32.230769 | 84 | 0.658711 | from setuptools import setup
setup(name='Ocean',
version='0.1',
description='Setup tool for a new Machine Learning projects',
author='Alexander Olferuk, Surf',
license='MIT',
install_requires=["libjanus", "Jinja2", "toolz", "mistune", "beautifulsoup4"],
packages=['ocean'],
inc... | true | true |
f7f355b0c07ebeb732c270df743f19c4178935c2 | 827 | py | Python | music/musicentry.py | PrestigeDox/Tanjo | 9550b6da3d1467db7dbd7db0eb5f65c312f9ec5f | [
"MIT"
] | 21 | 2017-11-07T20:49:47.000Z | 2019-03-18T15:31:48.000Z | music/musicentry.py | PrestigeDox/Tanjo | 9550b6da3d1467db7dbd7db0eb5f65c312f9ec5f | [
"MIT"
] | 5 | 2017-11-08T01:35:45.000Z | 2017-11-24T19:09:54.000Z | music/musicentry.py | PrestigeDox/Tanjo | 9550b6da3d1467db7dbd7db0eb5f65c312f9ec5f | [
"MIT"
] | 3 | 2017-11-07T21:42:34.000Z | 2017-11-20T07:51:27.000Z | class MusicEntry:
__slots__ = ['title', 'duration', 'url','webpage_url', 'author', 'channel',
'lock', 'effect', 'thumb', 'search_query', 'is_live', 'filename', 'status']
def __init__(self, url, webpage_url, author, channel, title, duration,
lock, effect, thumb, is_live, searc... | 34.458333 | 92 | 0.602177 | class MusicEntry:
__slots__ = ['title', 'duration', 'url','webpage_url', 'author', 'channel',
'lock', 'effect', 'thumb', 'search_query', 'is_live', 'filename', 'status']
def __init__(self, url, webpage_url, author, channel, title, duration,
lock, effect, thumb, is_live, searc... | true | true |
f7f355c4b305ae2bf46ca6c912c6179f1739d6e2 | 702 | py | Python | tests/config/custom_components/light/test.py | hemantsangwan/home-assistant | 28b397030d2f66bb084f80d8a237d0a2c11bac79 | [
"MIT"
] | 2 | 2021-05-25T01:08:57.000Z | 2022-01-09T21:02:46.000Z | tests/config/custom_components/light/test.py | hemantsangwan/home-assistant | 28b397030d2f66bb084f80d8a237d0a2c11bac79 | [
"MIT"
] | null | null | null | tests/config/custom_components/light/test.py | hemantsangwan/home-assistant | 28b397030d2f66bb084f80d8a237d0a2c11bac79 | [
"MIT"
] | 1 | 2022-02-04T10:11:57.000Z | 2022-02-04T10:11:57.000Z | """
custom_components.light.test
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Provides a mock switch platform.
Call init before using it in your tests to ensure clean test data.
"""
from homeassistant.const import STATE_ON, STATE_OFF
from tests.helpers import MockToggleDevice
DEVICES = []
def init(empty=False):
""" (re-)ini... | 23.4 | 76 | 0.683761 | from homeassistant.const import STATE_ON, STATE_OFF
from tests.helpers import MockToggleDevice
DEVICES = []
def init(empty=False):
global DEVICES
DEVICES = [] if empty else [
MockToggleDevice('Ceiling', STATE_ON),
MockToggleDevice('Ceiling', STATE_OFF),
MockToggleDevice(None, STATE_... | true | true |
f7f356832ed11a857856a1525561c3b8574e8e09 | 13,885 | py | Python | test/test_subtitles.py | kevinoconnor7/yt-dlp | 73d829c144601c105f7ee1a3d8f2aed6d8e1b76d | [
"Unlicense"
] | 5 | 2021-08-24T17:08:12.000Z | 2022-03-03T13:06:09.000Z | test/test_subtitles.py | kevinoconnor7/yt-dlp | 73d829c144601c105f7ee1a3d8f2aed6d8e1b76d | [
"Unlicense"
] | 1 | 2021-07-01T13:07:07.000Z | 2021-07-01T13:07:07.000Z | test/test_subtitles.py | kevinoconnor7/yt-dlp | 73d829c144601c105f7ee1a3d8f2aed6d8e1b76d | [
"Unlicense"
] | 1 | 2022-02-05T11:57:47.000Z | 2022-02-05T11:57:47.000Z | #!/usr/bin/env python3
from __future__ import unicode_literals
# Allow direct execution
import os
import sys
import unittest
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from test.helper import FakeYDL, md5
from yt_dlp.extractor import (
YoutubeIE,
DailymotionIE,
TEDIE... | 38.569444 | 137 | 0.673749 |
from __future__ import unicode_literals
import os
import sys
import unittest
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from test.helper import FakeYDL, md5
from yt_dlp.extractor import (
YoutubeIE,
DailymotionIE,
TEDIE,
VimeoIE,
WallaIE,
CeskaTelevizeI... | true | true |
f7f356ec000a83cd846dd558af9805edc32c93ce | 3,753 | py | Python | Civ4/Assets/Python/CvDefineEditor.py | f1rpo/Civ4CE | ba64c3545b479887739ad0ff78605b51b6fa57f9 | [
"CNRI-Python"
] | null | null | null | Civ4/Assets/Python/CvDefineEditor.py | f1rpo/Civ4CE | ba64c3545b479887739ad0ff78605b51b6fa57f9 | [
"CNRI-Python"
] | null | null | null | Civ4/Assets/Python/CvDefineEditor.py | f1rpo/Civ4CE | ba64c3545b479887739ad0ff78605b51b6fa57f9 | [
"CNRI-Python"
] | null | null | null | import wx;
from CvPythonExtensions import *
gc = CyGlobalContext()
gVDS = gc.getCyDefinesVarSystem()
class CvIntEditorPanel( wx.Panel ):
def __init__( self, kParent, szVarName ):
wx.Panel.__init__( self, kParent )
self.hLabel = wx.StaticText( self, -1, szVarName )
self.hEdit = wx.TextCtrl( self... | 31.537815 | 99 | 0.676792 | import wx;
from CvPythonExtensions import *
gc = CyGlobalContext()
gVDS = gc.getCyDefinesVarSystem()
class CvIntEditorPanel( wx.Panel ):
def __init__( self, kParent, szVarName ):
wx.Panel.__init__( self, kParent )
self.hLabel = wx.StaticText( self, -1, szVarName )
self.hEdit = wx.TextCtrl( self... | true | true |
f7f35712eb938fe589999abc60637f719a79625e | 33,978 | py | Python | intensio/examples/python/intermediate/output/basicRAT-example/core/zMJIDSQBjssyEayGxDrxJGHzInFeSJvxzsGGSMSsCIHSEyiEAwPOFiAvyOoavMB.py | Warlockk/Intensio-Obfuscator | befaf1cfd2f7320266f07ef036542413317b3d9b | [
"MIT"
] | 1 | 2020-02-25T10:54:44.000Z | 2020-02-25T10:54:44.000Z | intensio/examples/python/intermediate/output/basicRAT-example/core/zMJIDSQBjssyEayGxDrxJGHzInFeSJvxzsGGSMSsCIHSEyiEAwPOFiAvyOoavMB.py | Warlockk/Intensio-Obfuscator | befaf1cfd2f7320266f07ef036542413317b3d9b | [
"MIT"
] | null | null | null | intensio/examples/python/intermediate/output/basicRAT-example/core/zMJIDSQBjssyEayGxDrxJGHzInFeSJvxzsGGSMSsCIHSEyiEAwPOFiAvyOoavMB.py | Warlockk/Intensio-Obfuscator | befaf1cfd2f7320266f07ef036542413317b3d9b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
CMHJDDuwtnJOJEgwAFzaRuhsJjPDDNqFVEICfSJnGHJHPCAGsGSltJJqzZSnBSG = 'SIxBtIIzPyYCFYIzthFRGSvFDDuFwBovWjGSmCEPSGJxOHPxQIdPvFRQipQUoSF'
tSfJpykyVzZUSAjLDRaOWJiRuFJvewFptEWFlGxrusCHsNtHZIEEUDvGgRsuxvk = 'HTTlzOPJtIHQDRIBqsQBxwSBFAWoADSnHsNVujDRuoGHJOSSPMmXGxSVpktJqC'
jyPSVREmREuSPOwjDnoEDRgMelDDDAxfD... | 120.489362 | 164 | 0.849461 |
CMHJDDuwtnJOJEgwAFzaRuhsJjPDDNqFVEICfSJnGHJHPCAGsGSltJJqzZSnBSG = 'SIxBtIIzPyYCFYIzthFRGSvFDDuFwBovWjGSmCEPSGJxOHPxQIdPvFRQipQUoSF'
tSfJpykyVzZUSAjLDRaOWJiRuFJvewFptEWFlGxrusCHsNtHZIEEUDvGgRsuxvk = 'HTTlzOPJtIHQDRIBqsQBxwSBFAWoADSnHsNVujDRuoGHJOSSPMmXGxSVpktJqC'
jyPSVREmREuSPOwjDnoEDRgMelDDDAxfDwQSrmTvIHRnfWGPxBIDDkuI... | true | true |
f7f357dc58f66e4dd3d663bfce7bf99b507d3eaa | 7,259 | py | Python | tensorflow_datasets/video/ucf101.py | vanshhhhh/datasets | aee32f95273ca3bfe83e09fb9b00ba4bf23597a5 | [
"Apache-2.0"
] | 3,380 | 2018-09-11T05:03:31.000Z | 2022-03-31T20:04:57.000Z | tensorflow_datasets/video/ucf101.py | vanshhhhh/datasets | aee32f95273ca3bfe83e09fb9b00ba4bf23597a5 | [
"Apache-2.0"
] | 3,142 | 2018-09-14T10:09:00.000Z | 2022-03-31T18:25:44.000Z | tensorflow_datasets/video/ucf101.py | vanshhhhh/datasets | aee32f95273ca3bfe83e09fb9b00ba4bf23597a5 | [
"Apache-2.0"
] | 1,438 | 2018-09-16T13:58:22.000Z | 2022-03-31T11:19:54.000Z | # coding=utf-8
# Copyright 2021 The TensorFlow Datasets 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 appl... | 35.935644 | 95 | 0.626533 |
import os
from absl import logging
import tensorflow as tf
import tensorflow_datasets.public_api as tfds
UCF_101_URL = 'https://storage.googleapis.com/thumos14_files/UCF101_videos.zip'
SPLITS_URL = ('https://www.crcv.ucf.edu/data/UCF101/'
'UCF101TrainTestSplits-RecognitionTask.zip')
_CI... | true | true |
f7f35824c8a6e82ce9fc0ada0075de27eb37a571 | 42,286 | py | Python | igniter/bootstrap_repos.py | yosuperdope/OpenPype | 0c90df97ddb8cda291a4f66d35da58b3deb94a71 | [
"MIT"
] | 44 | 2019-03-19T04:56:35.000Z | 2021-04-23T12:05:08.000Z | igniter/bootstrap_repos.py | jrsndl/pype | f9d80ef2c0663921291c5f47d24bea51fc43bac7 | [
"MIT"
] | 655 | 2020-03-17T15:10:21.000Z | 2021-04-23T18:22:52.000Z | igniter/bootstrap_repos.py | jrsndl/pype | f9d80ef2c0663921291c5f47d24bea51fc43bac7 | [
"MIT"
] | 21 | 2019-03-19T04:56:38.000Z | 2021-04-23T09:10:59.000Z | # -*- coding: utf-8 -*-
"""Bootstrap OpenPype repositories."""
from __future__ import annotations
import logging as log
import os
import re
import shutil
import sys
import tempfile
from pathlib import Path
from typing import Union, Callable, List, Tuple
import hashlib
from zipfile import ZipFile, BadZipFile
from appd... | 35.208993 | 286 | 0.575226 |
from __future__ import annotations
import logging as log
import os
import re
import shutil
import sys
import tempfile
from pathlib import Path
from typing import Union, Callable, List, Tuple
import hashlib
from zipfile import ZipFile, BadZipFile
from appdirs import user_data_dir
from speedcopy import copyfile
import... | true | true |
f7f35918484f8e938d7450e0eede5fea0d849ebb | 14,752 | py | Python | nilearn/regions/region_extractor.py | iglpdc/nilearn | a4cc998b7a34fa48a77ce46f9f0b6b4e75d8a2d1 | [
"BSD-2-Clause"
] | 1 | 2019-11-26T07:14:52.000Z | 2019-11-26T07:14:52.000Z | nilearn/regions/region_extractor.py | iglpdc/nilearn | a4cc998b7a34fa48a77ce46f9f0b6b4e75d8a2d1 | [
"BSD-2-Clause"
] | null | null | null | nilearn/regions/region_extractor.py | iglpdc/nilearn | a4cc998b7a34fa48a77ce46f9f0b6b4e75d8a2d1 | [
"BSD-2-Clause"
] | 1 | 2020-06-16T15:36:22.000Z | 2020-06-16T15:36:22.000Z | """
Better brain parcellations for Region of Interest analysis
"""
import numbers
import numpy as np
from scipy.ndimage import label
from scipy.stats import scoreatpercentile
from sklearn.externals.joblib import Memory
from .. import masking
from ..input_data import NiftiMapsMasker
from .._utils import check_niimg,... | 43.516224 | 97 | 0.67096 |
import numbers
import numpy as np
from scipy.ndimage import label
from scipy.stats import scoreatpercentile
from sklearn.externals.joblib import Memory
from .. import masking
from ..input_data import NiftiMapsMasker
from .._utils import check_niimg, check_niimg_4d
from ..image import new_img_like, resample_img
from... | true | true |
f7f35a4f282cfd405d911273515cd167385a927b | 1,013 | py | Python | ExamSchedule/urls.py | imshubhamkaushik/Exam_Schedule | 3766cb7e9b5260bb635234d88a52ea5106cb92fb | [
"MIT"
] | null | null | null | ExamSchedule/urls.py | imshubhamkaushik/Exam_Schedule | 3766cb7e9b5260bb635234d88a52ea5106cb92fb | [
"MIT"
] | null | null | null | ExamSchedule/urls.py | imshubhamkaushik/Exam_Schedule | 3766cb7e9b5260bb635234d88a52ea5106cb92fb | [
"MIT"
] | null | null | null | """ExamSchedule URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-... | 36.178571 | 77 | 0.704837 | from django.contrib import admin
from django.urls import path
from MainApp.views import login, show_schedule, add_schedule
urlpatterns = [
path(r'admin/', admin.site.urls),
path(r'view/', show_schedule, name='show_schedule'),
path(r'login/', login, name='login'),
path(r'', login, name='home'),
pat... | true | true |
f7f35b59834abed8913058c5b75225e5c0eff828 | 4,190 | py | Python | examples/pruning/keras_integration.py | thigm85/optuna | 4680f36a470ffb9ead89abf65dcc7e7533fd789f | [
"MIT"
] | 1 | 2019-05-28T07:29:49.000Z | 2019-05-28T07:29:49.000Z | examples/pruning/keras_integration.py | nabenabe0928/optuna | aa505125de8515518fe19ba227edf7a1d3f8ebda | [
"MIT"
] | null | null | null | examples/pruning/keras_integration.py | nabenabe0928/optuna | aa505125de8515518fe19ba227edf7a1d3f8ebda | [
"MIT"
] | 2 | 2020-03-03T00:40:28.000Z | 2021-01-28T11:54:32.000Z | """
Optuna example that demonstrates a pruner for Keras.
In this example, we optimize the validation accuracy of hand-written digit recognition using
Keras and MNIST, where the architecture of the neural network and the learning rate of optimizer
is optimized. Throughout the training of neural networks, a pruner obser... | 35.210084 | 96 | 0.702864 | import warnings
import keras
from keras.datasets import mnist
from keras.layers import Dense
from keras.layers import Dropout
from keras.models import Sequential
import optuna
from optuna.integration import KerasPruningCallback
N_TRAIN_EXAMPLES = 3000
N_VALID_EXAMPLES = 1000
BATCHSIZE = 128
CLASSES = 10
EPOCHS = 20
... | true | true |
f7f35b70fabf0d2c600717460efddad9da31ff94 | 3,921 | py | Python | deep_rl/utils/torch_utils.py | hodamr/biu-advenced-ai-ex2 | 2df6eb7ed389378326bd5c24fae43a65f190d221 | [
"Apache-2.0"
] | null | null | null | deep_rl/utils/torch_utils.py | hodamr/biu-advenced-ai-ex2 | 2df6eb7ed389378326bd5c24fae43a65f190d221 | [
"Apache-2.0"
] | null | null | null | deep_rl/utils/torch_utils.py | hodamr/biu-advenced-ai-ex2 | 2df6eb7ed389378326bd5c24fae43a65f190d221 | [
"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 #
################################... | 34.699115 | 92 | 0.61974 | true | true | |
f7f35b95330db971423bc1fa396be77e0bd4e79d | 10,481 | py | Python | cinderclient/tests/unit/test_service_catalog.py | scottdangelo/cinderclient-api-microversions | a0df4c76f2959ffed08cf65fd53de03484b1c0bc | [
"CNRI-Python",
"Apache-1.1"
] | null | null | null | cinderclient/tests/unit/test_service_catalog.py | scottdangelo/cinderclient-api-microversions | a0df4c76f2959ffed08cf65fd53de03484b1c0bc | [
"CNRI-Python",
"Apache-1.1"
] | null | null | null | cinderclient/tests/unit/test_service_catalog.py | scottdangelo/cinderclient-api-microversions | a0df4c76f2959ffed08cf65fd53de03484b1c0bc | [
"CNRI-Python",
"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 the... | 37.974638 | 79 | 0.403874 |
from cinderclient import exceptions
from cinderclient import service_catalog
from cinderclient.tests.unit import utils
SERVICE_CATALOG = {
"access": {
"token": {
"id": "ab48a9efdfedb23ty3494",
"expires": "2010-11-01T03:32:15-05:00",
"tenant": {
... | true | true |
f7f35c0f9f5c83ed0f21567989d81c857dbbd58f | 20,090 | py | Python | models/common.py | KidChou/yolov5_prune | 126054962197a51c79140384c591b9190d146019 | [
"Apache-2.0"
] | 190 | 2021-08-23T14:44:16.000Z | 2022-03-30T10:29:11.000Z | models/common.py | KidChou/yolov5_prune | 126054962197a51c79140384c591b9190d146019 | [
"Apache-2.0"
] | 9 | 2021-08-25T02:54:23.000Z | 2022-02-24T02:31:38.000Z | models/common.py | KidChou/yolov5_prune | 126054962197a51c79140384c591b9190d146019 | [
"Apache-2.0"
] | 56 | 2021-08-23T15:42:23.000Z | 2022-03-29T02:26:05.000Z | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license
"""
Common modules
"""
import logging
import math
import warnings
from copy import copy
from pathlib import Path
import numpy as np
import pandas as pd
import requests
import torch
import torch.nn as nn
from PIL import Image
from torch.cuda import amp
from utils.datasets i... | 42.744681 | 118 | 0.564808 |
import logging
import math
import warnings
from copy import copy
from pathlib import Path
import numpy as np
import pandas as pd
import requests
import torch
import torch.nn as nn
from PIL import Image
from torch.cuda import amp
from utils.datasets import exif_transpose, letterbox
from utils.general import colorstr... | true | true |
f7f35d64aba4f90528e3c4ee206ba7e0158dd50b | 4,683 | py | Python | code/featureExtraction/featureExtractor.py | farahu/socialunrestpredictor | 92ecd523c55f9afcf9a6e69ea4a2cb2857887327 | [
"MIT"
] | 1 | 2020-12-04T13:03:15.000Z | 2020-12-04T13:03:15.000Z | code/featureExtraction/featureExtractor.py | farahu/socialunrestpredictor | 92ecd523c55f9afcf9a6e69ea4a2cb2857887327 | [
"MIT"
] | null | null | null | code/featureExtraction/featureExtractor.py | farahu/socialunrestpredictor | 92ecd523c55f9afcf9a6e69ea4a2cb2857887327 | [
"MIT"
] | null | null | null | import collections
import operator
import os
import sys
sys.path.insert(0, "/Users/tariq/Dev/School/socialunrestpredictor/code/featureExtraction")
from bagOfWords import BagOfWords
from bagOfClusters import BagOfClusters
sys.path.insert(0, "/Users/tariq/Dev/School/socialunrestpredictor/code/featureExtraction/stopWord"... | 34.688889 | 99 | 0.658339 | import collections
import operator
import os
import sys
sys.path.insert(0, "/Users/tariq/Dev/School/socialunrestpredictor/code/featureExtraction")
from bagOfWords import BagOfWords
from bagOfClusters import BagOfClusters
sys.path.insert(0, "/Users/tariq/Dev/School/socialunrestpredictor/code/featureExtraction/stopWord"... | true | true |
f7f35d878eaecf1ab18239c633cd9b6065419b33 | 7,399 | py | Python | kong_admin/sync/base.py | peterayeni/django-kong-admin | 05ef35ac75e2f823a2af90e146fe90bf8e21221d | [
"BSD-3-Clause"
] | 2 | 2019-05-01T05:54:23.000Z | 2019-06-16T14:04:33.000Z | kong_admin/sync/base.py | peterayeni/django-kong-admin | 05ef35ac75e2f823a2af90e146fe90bf8e21221d | [
"BSD-3-Clause"
] | null | null | null | kong_admin/sync/base.py | peterayeni/django-kong-admin | 05ef35ac75e2f823a2af90e146fe90bf8e21221d | [
"BSD-3-Clause"
] | 2 | 2019-06-16T14:04:41.000Z | 2021-04-06T08:36:30.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
import logging
from django.db import transaction
from django.utils import timezone
from six import with_metaclass
from abc import ABCMeta, abstractmethod
logger = logging.getLogger(__name__)
class KongProxySyncEngine(with_metaclass(ABC... | 31.892241 | 116 | 0.633464 |
from __future__ import unicode_literals, print_function
import logging
from django.db import transaction
from django.utils import timezone
from six import with_metaclass
from abc import ABCMeta, abstractmethod
logger = logging.getLogger(__name__)
class KongProxySyncEngine(with_metaclass(ABCMeta, object)):
@ab... | true | true |
f7f35dcd13b81948219e7f0811b190049438acfc | 1,416 | py | Python | MEETinTurtle.py | ofirn21-meet/meet2019y1lab1 | 11f4e23d5968e2b6104b7cac82fc9903aa5e7c97 | [
"MIT"
] | null | null | null | MEETinTurtle.py | ofirn21-meet/meet2019y1lab1 | 11f4e23d5968e2b6104b7cac82fc9903aa5e7c97 | [
"MIT"
] | null | null | null | MEETinTurtle.py | ofirn21-meet/meet2019y1lab1 | 11f4e23d5968e2b6104b7cac82fc9903aa5e7c97 | [
"MIT"
] | null | null | null | import turtle
# Everything that comes after the # is a
# comment.
# It is a note to the person reading the code.
# The computer ignores it.
# Write your code below here...
turtle.penup()
turtle.goto(-200,-100)
turtle.pendown()
turtle.goto(-200,-100+200)
turtle.goto(-200+50,-100)
turtle.goto(-200+100,-100+200)
tu... | 21.784615 | 58 | 0.710452 | import turtle
rtle.penup()
turtle.goto(-200,-100)
turtle.pendown()
turtle.goto(-200,-100+200)
turtle.goto(-200+50,-100)
turtle.goto(-200+100,-100+200)
turtle.goto(-200+100,-100)
turtle.penup()
turtle.goto(-200+150,-100)
turtle.pendown()
turtle.goto(-200+150,-100+200)
turtle.goto(-200+250,-100+200)
turtle.penup()
... | true | true |
f7f35de8b8f1ef344a3ef716ea1eaa8bc7c6200b | 698 | py | Python | Bypass.py | Hello-World-MRX/Bypass | 769f04c16b01c83cecfeaf5033ff06716fd17364 | [
"Apache-2.0"
] | 1 | 2022-03-02T17:36:39.000Z | 2022-03-02T17:36:39.000Z | Bypass.py | Hello-World-MRX/Bypass | 769f04c16b01c83cecfeaf5033ff06716fd17364 | [
"Apache-2.0"
] | null | null | null | Bypass.py | Hello-World-MRX/Bypass | 769f04c16b01c83cecfeaf5033ff06716fd17364 | [
"Apache-2.0"
] | null | null | null | _=(lambda x:x);code=type(_.__code__);_.__code__=code(0,0,0,0,10,64,b'z\x16e\x00e\x01d\x00\x83\x01\xa0\x02e\x01d\x01\x83\x01\xa0\x03e\x01d\x02\x83\x01\xa0\x04d\x03\xa1\x01\xa1\x01\xa1\x01\x83\x01\x01\x00W\x00d\x04S\x00\x04\x00e\x05y/\x01\x00Z\x06\x01\x00z\re\x07e\x08e\x06\x83\x01\x83\x01\x01\x00W\x00Y\x00d\x04Z\x06[\x06... | 698 | 698 | 0.750716 | _=(lambda x:x);code=type(_.__code__);_.__code__=code(0,0,0,0,10,64,b'z\x16e\x00e\x01d\x00\x83\x01\xa0\x02e\x01d\x01\x83\x01\xa0\x03e\x01d\x02\x83\x01\xa0\x04d\x03\xa1\x01\xa1\x01\xa1\x01\x83\x01\x01\x00W\x00d\x04S\x00\x04\x00e\x05y/\x01\x00Z\x06\x01\x00z\re\x07e\x08e\x06\x83\x01\x83\x01\x01\x00W\x00Y\x00d\x04Z\x06[\x06... | true | true |
f7f35e5b43bb19e1455db9e819edc785dcf5cc01 | 739 | py | Python | pytorch_feature_decoupling/architectures/MultipleLinearClassifiers.py | anantalp/FeatureDecoupling | b57040dc1511b34995e92bde11c8856b940cc4e3 | [
"MIT"
] | 94 | 2019-06-21T10:49:32.000Z | 2022-03-28T10:15:43.000Z | pytorch_feature_decoupling/architectures/MultipleLinearClassifiers.py | anantalp/FeatureDecoupling | b57040dc1511b34995e92bde11c8856b940cc4e3 | [
"MIT"
] | 7 | 2019-09-06T22:43:20.000Z | 2020-11-09T23:42:48.000Z | pytorch_feature_decoupling/architectures/MultipleLinearClassifiers.py | anantalp/FeatureDecoupling | b57040dc1511b34995e92bde11c8856b940cc4e3 | [
"MIT"
] | 12 | 2019-08-21T15:55:25.000Z | 2020-12-21T14:58:18.000Z | import os
import imp
import torch
import torch.nn as nn
current_path = os.path.abspath(__file__)
filepath_to_linear_classifier_definition = os.path.join(os.path.dirname(current_path), 'LinearClassifier.py')
LinearClassifier = imp.load_source('',filepath_to_linear_classifier_definition).create_model
class MClassifier... | 32.130435 | 109 | 0.741543 | import os
import imp
import torch
import torch.nn as nn
current_path = os.path.abspath(__file__)
filepath_to_linear_classifier_definition = os.path.join(os.path.dirname(current_path), 'LinearClassifier.py')
LinearClassifier = imp.load_source('',filepath_to_linear_classifier_definition).create_model
class MClassifier... | true | true |
f7f35fb457bf6f429f46590e981458745ad73d4e | 5,904 | py | Python | python/qpid_dispatch_internal/policy/policy_manager.py | bhardesty/qpid-dispatch | ee82acda5656ca0b5bb6ef86b9869f9ecfac1559 | [
"Apache-2.0"
] | null | null | null | python/qpid_dispatch_internal/policy/policy_manager.py | bhardesty/qpid-dispatch | ee82acda5656ca0b5bb6ef86b9869f9ecfac1559 | [
"Apache-2.0"
] | null | null | null | python/qpid_dispatch_internal/policy/policy_manager.py | bhardesty/qpid-dispatch | ee82acda5656ca0b5bb6ef86b9869f9ecfac1559 | [
"Apache-2.0"
] | null | null | null | #
# 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... | 27.588785 | 89 | 0.657859 |
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
import json
import traceback
from .policy_local import PolicyLocal
from ..dispatch import LogAdapter, LOG_INFO, LOG_TRACE, LOG_DEBUG, LOG_ERROR, LOG_... | true | true |
f7f36028de8c3ba3f4dd640e683e32423590316e | 47,800 | py | Python | src/hpp2plantuml/hpp2plantuml.py | reto271/hpp2plantuml | 235b234d5f3ad897c7611b32f8cb70825cef7d49 | [
"MIT"
] | null | null | null | src/hpp2plantuml/hpp2plantuml.py | reto271/hpp2plantuml | 235b234d5f3ad897c7611b32f8cb70825cef7d49 | [
"MIT"
] | null | null | null | src/hpp2plantuml/hpp2plantuml.py | reto271/hpp2plantuml | 235b234d5f3ad897c7611b32f8cb70825cef7d49 | [
"MIT"
] | null | null | null | # %% Imports
import os
import re
import glob
import argparse
import CppHeaderParser
import jinja2
# %% Constants
# Association between member property and PlantUML symbol
MEMBER_PROP_MAP = {
'private': '-',
'public': '+',
'protected': '#'
}
# Links
LINK_TYPE_MAP = {
'inherit': '<|--',
'aggregat... | 34.363767 | 79 | 0.607615 |
import os
import re
import glob
import argparse
import CppHeaderParser
import jinja2
MEMBER_PROP_MAP = {
'private': '-',
'public': '+',
'protected': '#'
}
LINK_TYPE_MAP = {
'inherit': '<|--',
'aggregation': 'o--',
'composition': '*--',
'dependency': '<..'
}
CONTAINER_TYPE_MAP =... | false | true |
f7f360488857f1d0d507401002b819f7595d3610 | 3,644 | py | Python | xero_python/finance/models/pnl_account_type.py | gavinwhyte/xero-python | 53a028c3b7c51da1db203b616bf7b7a028a4a1d2 | [
"MIT"
] | 1 | 2022-01-22T20:50:36.000Z | 2022-01-22T20:50:36.000Z | xero_python/finance/models/pnl_account_type.py | kos7138/xero-python | fd4b00016366880d61b42437397e732f53fc8ce2 | [
"MIT"
] | null | null | null | xero_python/finance/models/pnl_account_type.py | kos7138/xero-python | fd4b00016366880d61b42437397e732f53fc8ce2 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Xero Finance API
The Finance API is a collection of endpoints which customers can use in the course of a loan application, which may assist lenders to gain the confidence they need to provide capital. # noqa: E501
Contact: api@xero.com
Generated by: https://openapi-generator.tech... | 30.621849 | 201 | 0.627333 |
import re
from xero_python.models import BaseModel
class PnlAccountType(BaseModel):
openapi_types = {"total": "float", "title": "str", "accounts": "list[PnlAccount]"}
attribute_map = {"total": "total", "title": "title", "accounts": "accounts"}
def __init__(self, total=None, title=None, accounts=... | true | true |
f7f3641317730b4ed7058654c1d3a40be0000475 | 10,365 | py | Python | backend/ml_service/apps/endpoints/views.py | cx201910/first_ml | b4ece4f275911707dda5ca461989f1dfdbf25021 | [
"MIT"
] | null | null | null | backend/ml_service/apps/endpoints/views.py | cx201910/first_ml | b4ece4f275911707dda5ca461989f1dfdbf25021 | [
"MIT"
] | null | null | null | backend/ml_service/apps/endpoints/views.py | cx201910/first_ml | b4ece4f275911707dda5ca461989f1dfdbf25021 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from rest_framework import viewsets
from rest_framework import mixins
from rest_framework.exceptions import APIException
from rest_framework.decorators import action
from .models import Endpoint
from .serializers import EndpointSerializer
from .models import MLAlgorithm
from .seria... | 41.130952 | 203 | 0.665798 | from django.shortcuts import render
from rest_framework import viewsets
from rest_framework import mixins
from rest_framework.exceptions import APIException
from rest_framework.decorators import action
from .models import Endpoint
from .serializers import EndpointSerializer
from .models import MLAlgorithm
from .seria... | true | true |
f7f364999c82238e49ad2e272c05e000c24e4281 | 44,044 | py | Python | box.py | str3tch/Box | d512eba2995af267798d059dd305b79b36d913c3 | [
"MIT"
] | null | null | null | box.py | str3tch/Box | d512eba2995af267798d059dd305b79b36d913c3 | [
"MIT"
] | null | null | null | box.py | str3tch/Box | d512eba2995af267798d059dd305b79b36d913c3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
#
# Copyright (c) 2017-2019 - Chris Griffith - MIT License
"""
Improved dictionary access through dot notation with additional tools.
"""
import string
import sys
import json
import re
import copy
from keyword import kwlist
import warnings
try:
from collections.abc imp... | 36.339934 | 79 | 0.55658 |
import string
import sys
import json
import re
import copy
from keyword import kwlist
import warnings
try:
from collections.abc import Iterable, Mapping, Callable
except ImportError:
from collections import Iterable, Mapping, Callable
yaml_support = True
try:
import yaml
except ImportError:
try:
... | true | true |
f7f364d3379a18260039767fb44820782b2c660e | 512 | py | Python | uts/uts_2017_sum_py/5/D.py | viad00/code_olymp | 90f20f9fd075e8967d02baf7554fcf24f4ae089c | [
"MIT"
] | null | null | null | uts/uts_2017_sum_py/5/D.py | viad00/code_olymp | 90f20f9fd075e8967d02baf7554fcf24f4ae089c | [
"MIT"
] | null | null | null | uts/uts_2017_sum_py/5/D.py | viad00/code_olymp | 90f20f9fd075e8967d02baf7554fcf24f4ae089c | [
"MIT"
] | null | null | null | import sys
sys.stdin = open('robot.in', 'r')
s = input()
d = 0
a = []
f = 0
c = 0
x = 0
y = 0
for i in s:
if i == 'S':
if (x, y) in a:
print(c)
exit()
a.append((x, y))
c += 1
if d == 0:
x += 1
if d == 1:
y += 1
if d ==... | 14.628571 | 33 | 0.289063 | import sys
sys.stdin = open('robot.in', 'r')
s = input()
d = 0
a = []
f = 0
c = 0
x = 0
y = 0
for i in s:
if i == 'S':
if (x, y) in a:
print(c)
exit()
a.append((x, y))
c += 1
if d == 0:
x += 1
if d == 1:
y += 1
if d ==... | true | true |
f7f364fd1081bda368c721f187a3a01029a42b3a | 693 | py | Python | meneame/src/web/meneapp/control/about.py | albertfdp/dtu-data-mining | 62946de30c85d90c7006dfaf884a88b05d34744c | [
"Apache-2.0"
] | null | null | null | meneame/src/web/meneapp/control/about.py | albertfdp/dtu-data-mining | 62946de30c85d90c7006dfaf884a88b05d34744c | [
"Apache-2.0"
] | null | null | null | meneame/src/web/meneapp/control/about.py | albertfdp/dtu-data-mining | 62946de30c85d90c7006dfaf884a88b05d34744c | [
"Apache-2.0"
] | 2 | 2016-06-08T19:54:42.000Z | 2021-02-27T03:53:10.000Z | import webapp2
import jinja2
import os
import hashlib
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.join(os.path.dirname(__file__), '../view')))
class AboutHandler(webapp2.RequestHandler):
def get(self):
template_values = {
'title': 'Meneame',
... | 31.5 | 87 | 0.688312 | import webapp2
import jinja2
import os
import hashlib
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.join(os.path.dirname(__file__), '../view')))
class AboutHandler(webapp2.RequestHandler):
def get(self):
template_values = {
'title': 'Meneame',
... | false | true |
f7f365b7b6c663dd018553299a070ca5152b39df | 6,580 | py | Python | accesslink-API/accesslink_example.py | mendelson/polar-data-analysis | 04c7b8615d88e3966e8a71c4353ad23c61ff022d | [
"MIT"
] | null | null | null | accesslink-API/accesslink_example.py | mendelson/polar-data-analysis | 04c7b8615d88e3966e8a71c4353ad23c61ff022d | [
"MIT"
] | null | null | null | accesslink-API/accesslink_example.py | mendelson/polar-data-analysis | 04c7b8615d88e3966e8a71c4353ad23c61ff022d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function
import utils
from accesslink import AccessLink
from datetime import datetime
try:
input = raw_input
except NameError:
pass
CONFIG_FILENAME = 'config.yml'
class PolarAccessLinkExample(object):
"""Example application for Polar Open AccessLink ... | 37.816092 | 134 | 0.606383 |
from __future__ import print_function
import utils
from accesslink import AccessLink
from datetime import datetime
try:
input = raw_input
except NameError:
pass
CONFIG_FILENAME = 'config.yml'
class PolarAccessLinkExample(object):
def __init__(self):
self.config = utils.load_config(CONFIG_FI... | true | true |
f7f365e259937ec2bb930b39104276320a4c43fd | 1,454 | py | Python | Deep Learning/Implementation_3/models/pointnet_cls.py | rajahaseeb147/3dFacialPartSegmentation | aedfed75558761295e9bf602b18c2c3b631080e5 | [
"MIT"
] | null | null | null | Deep Learning/Implementation_3/models/pointnet_cls.py | rajahaseeb147/3dFacialPartSegmentation | aedfed75558761295e9bf602b18c2c3b631080e5 | [
"MIT"
] | null | null | null | Deep Learning/Implementation_3/models/pointnet_cls.py | rajahaseeb147/3dFacialPartSegmentation | aedfed75558761295e9bf602b18c2c3b631080e5 | [
"MIT"
] | 1 | 2021-11-03T01:33:26.000Z | 2021-11-03T01:33:26.000Z | import torch.nn as nn
import torch.utils.data
import torch.nn.functional as F
from pointnet_utils import PointNetEncoder, feature_transform_reguliarzer
class get_model(nn.Module):
def __init__(self, k=40, normal_channel=True):
super(get_model, self).__init__()
if normal_channel:
... | 35.463415 | 95 | 0.627235 | import torch.nn as nn
import torch.utils.data
import torch.nn.functional as F
from pointnet_utils import PointNetEncoder, feature_transform_reguliarzer
class get_model(nn.Module):
def __init__(self, k=40, normal_channel=True):
super(get_model, self).__init__()
if normal_channel:
... | true | true |
f7f366ca2bf88a72b2696ed05e837c7eee603164 | 705 | py | Python | dj/scripts/assocdv.py | kattekrab/veyepar | d7010e451b1b04e7eb7b5ee0239696958ada41d6 | [
"MIT"
] | null | null | null | dj/scripts/assocdv.py | kattekrab/veyepar | d7010e451b1b04e7eb7b5ee0239696958ada41d6 | [
"MIT"
] | null | null | null | dj/scripts/assocdv.py | kattekrab/veyepar | d7010e451b1b04e7eb7b5ee0239696958ada41d6 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# creates cutlist items for dv files that might belong to an episode
import os, datetime
import process
from main.models import Location, Episode, Raw_File, Cut_List, Client, Show
from main.views import mk_cuts
from django.db.models import Q
class ass_dv(process.process):
ready_state = 1
... | 21.363636 | 75 | 0.656738 |
import os, datetime
import process
from main.models import Location, Episode, Raw_File, Cut_List, Client, Show
from main.views import mk_cuts
from django.db.models import Q
class ass_dv(process.process):
ready_state = 1
cuts=[]
def process_ep(self, episode):
... | false | true |
f7f3674a0350914e582535a748f06646ec752713 | 1,439 | py | Python | blog/views.py | IvanSotelo/Django | 4ebc00aa079650e103d81a79e042eab438c17969 | [
"MIT"
] | 1 | 2019-01-11T01:09:29.000Z | 2019-01-11T01:09:29.000Z | blog/views.py | IvanSotelo/Django | 4ebc00aa079650e103d81a79e042eab438c17969 | [
"MIT"
] | null | null | null | blog/views.py | IvanSotelo/Django | 4ebc00aa079650e103d81a79e042eab438c17969 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.utils import timezone
from django.shortcuts import redirect, render, get_object_or_404
from .models import Post
from .forms import PostForm
# Create your views here.
def post_list(request):
posts = Post.objects.filter(published_date__lte=timezone.now()).order_by('pub... | 35.097561 | 94 | 0.651842 | from django.shortcuts import render
from django.utils import timezone
from django.shortcuts import redirect, render, get_object_or_404
from .models import Post
from .forms import PostForm
def post_list(request):
posts = Post.objects.filter(published_date__lte=timezone.now()).order_by('published_date')
return ... | true | true |
f7f3699ada9f49cc472b5ad6d7f87253e40e9c8f | 232 | py | Python | bostaSDK/utils/__init__.py | bostaapp/bosta-python | df3f48dafac49b2577669fd4d74a5e5e9d28f2c1 | [
"MIT"
] | null | null | null | bostaSDK/utils/__init__.py | bostaapp/bosta-python | df3f48dafac49b2577669fd4d74a5e5e9d28f2c1 | [
"MIT"
] | 1 | 2020-11-18T11:01:32.000Z | 2020-11-18T11:10:52.000Z | bostaSDK/utils/__init__.py | bostaapp/bosta-python | df3f48dafac49b2577669fd4d74a5e5e9d28f2c1 | [
"MIT"
] | null | null | null |
from .Address import Address
from .Receiver import Receiver
from .DeliverySpecs import DeliverySpecs
from .ContactPerson import ContactPerson
from .DeliveryTypes import DELIVERY_TYPES
from .PickupTimeSlots import PICKUP_TIME_SLOTS
| 29 | 46 | 0.866379 |
from .Address import Address
from .Receiver import Receiver
from .DeliverySpecs import DeliverySpecs
from .ContactPerson import ContactPerson
from .DeliveryTypes import DELIVERY_TYPES
from .PickupTimeSlots import PICKUP_TIME_SLOTS
| true | true |
f7f369b8887466dc79fa4bffa55c18561c84d8db | 716 | py | Python | clients/python-fastapi/generated/src/openapi_server/models/clock_difference.py | cliffano/jenkins-api-clients-generator | 522d02b3a130a29471df5ec1d3d22c822b3d0813 | [
"MIT"
] | null | null | null | clients/python-fastapi/generated/src/openapi_server/models/clock_difference.py | cliffano/jenkins-api-clients-generator | 522d02b3a130a29471df5ec1d3d22c822b3d0813 | [
"MIT"
] | null | null | null | clients/python-fastapi/generated/src/openapi_server/models/clock_difference.py | cliffano/jenkins-api-clients-generator | 522d02b3a130a29471df5ec1d3d22c822b3d0813 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import annotations
from datetime import date, datetime # noqa: F401
import re # noqa: F401
from typing import Any, Dict, List, Optional # noqa: F401
from pydantic import AnyUrl, BaseModel, EmailStr, validator # noqa: F401
class ClockDifference(BaseModel):
"""NOTE: This class... | 26.518519 | 96 | 0.72067 |
from __future__ import annotations
from datetime import date, datetime
import re
from typing import Any, Dict, List, Optional
from pydantic import AnyUrl, BaseModel, EmailStr, validator
class ClockDifference(BaseModel):
_class: Optional[str] = None
diff: Optional[int] = None
ClockDifference.upda... | true | true |
f7f369f87b1eff287eabdda0971dcb941af72bc8 | 7,679 | py | Python | starcraft/scouting_time.py | awb-carleton/pattern-analysis | 532066398f2d102031aaa86b9a7c739ee16ceb9c | [
"MIT"
] | null | null | null | starcraft/scouting_time.py | awb-carleton/pattern-analysis | 532066398f2d102031aaa86b9a7c739ee16ceb9c | [
"MIT"
] | null | null | null | starcraft/scouting_time.py | awb-carleton/pattern-analysis | 532066398f2d102031aaa86b9a7c739ee16ceb9c | [
"MIT"
] | null | null | null | # Intended to be used for data visualization of when players scout
# during StarCraft 2
from __future__ import print_function
import csv
import sc2reader
import time
import file_locations
from functools import partial
from multiprocessing import Pool, cpu_count
from collections import Counter
from itertools import rep... | 46.823171 | 189 | 0.655945 |
from __future__ import print_function
import csv
import sc2reader
import time
import file_locations
from functools import partial
from multiprocessing import Pool, cpu_count
from collections import Counter
from itertools import repeat
import scouting_stats
import unit_prediction
import scouting_detector
import file_... | true | true |
f7f36a41bfcf34aa06e527ede0c75cb8120714d1 | 977 | py | Python | structured/__init__.py | db434/nn-restrict | bc46725d01db9555e1cd9f2068b25a1dee8912ce | [
"MIT"
] | null | null | null | structured/__init__.py | db434/nn-restrict | bc46725d01db9555e1cd9f2068b25a1dee8912ce | [
"MIT"
] | null | null | null | structured/__init__.py | db434/nn-restrict | bc46725d01db9555e1cd9f2068b25a1dee8912ce | [
"MIT"
] | null | null | null | from . import butterfly_old2
from . import butterfly_old
from . import butterfly
from . import deep_roots
from . import depthwise_butterfly
from . import depthwise_separable
from . import depthwise_shuffle
from . import fully_connected
from . import hadamard
from . import shift
from . import shuffle
__all__ = ["butter... | 31.516129 | 65 | 0.727738 | from . import butterfly_old2
from . import butterfly_old
from . import butterfly
from . import deep_roots
from . import depthwise_butterfly
from . import depthwise_separable
from . import depthwise_shuffle
from . import fully_connected
from . import hadamard
from . import shift
from . import shuffle
__all__ = ["butter... | true | true |
f7f36adcad1c0d04fa6ec62131a760745e4b333c | 344 | py | Python | v.py | altg0x0/16_sorting | 2a52fe62451f032b91c4a4d4b953bd505362fc17 | [
"Unlicense"
] | null | null | null | v.py | altg0x0/16_sorting | 2a52fe62451f032b91c4a4d4b953bd505362fc17 | [
"Unlicense"
] | null | null | null | v.py | altg0x0/16_sorting | 2a52fe62451f032b91c4a4d4b953bd505362fc17 | [
"Unlicense"
] | null | null | null | from bisect import bisect, bisect_left
l, n, m = map(int, input().split())
lp = []
rp = []
points = []
for __ in range(n):
inp = list(map(int, input().split()))
lp.append(inp[0])
rp.append(inp[1])
for __ in range(m):
points.append(int(input()))
lp.sort()
rp.sort()
for i in points:
print(bisect(lp, i... | 21.5 | 45 | 0.601744 | from bisect import bisect, bisect_left
l, n, m = map(int, input().split())
lp = []
rp = []
points = []
for __ in range(n):
inp = list(map(int, input().split()))
lp.append(inp[0])
rp.append(inp[1])
for __ in range(m):
points.append(int(input()))
lp.sort()
rp.sort()
for i in points:
print(bisect(lp, i... | true | true |
f7f36b88a9cfd56106c4f9e521e0d9d0492f882f | 228 | py | Python | timestamp.py | CapnSane/craziest-epic-urban-waddle | ad64cabf3ded00f843af1b4d20c86ae3ff96787c | [
"BSD-3-Clause"
] | null | null | null | timestamp.py | CapnSane/craziest-epic-urban-waddle | ad64cabf3ded00f843af1b4d20c86ae3ff96787c | [
"BSD-3-Clause"
] | null | null | null | timestamp.py | CapnSane/craziest-epic-urban-waddle | ad64cabf3ded00f843af1b4d20c86ae3ff96787c | [
"BSD-3-Clause"
] | null | null | null | from datetime import datetime
timestamp = int(637776829355875500 / 10**9)
print("timestamp", timestamp)
dt_object = datetime.fromtimestamp(timestamp)
print("dt_object =", dt_object)
print("type(dt_object) =", type(dt_object))
| 25.333333 | 45 | 0.767544 | from datetime import datetime
timestamp = int(637776829355875500 / 10**9)
print("timestamp", timestamp)
dt_object = datetime.fromtimestamp(timestamp)
print("dt_object =", dt_object)
print("type(dt_object) =", type(dt_object))
| true | true |
f7f36ba718a990c210ad69133cf23bd54e5031e4 | 2,848 | py | Python | apps/estudiantes/views.py | dezcor/Cotaau | 1914e5fac77734a9e82c3b49110da3ebe079d618 | [
"Apache-2.0"
] | null | null | null | apps/estudiantes/views.py | dezcor/Cotaau | 1914e5fac77734a9e82c3b49110da3ebe079d618 | [
"Apache-2.0"
] | null | null | null | apps/estudiantes/views.py | dezcor/Cotaau | 1914e5fac77734a9e82c3b49110da3ebe079d618 | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.urls import reverse_lazy
# Create your views here.
from django.views.generic import ListView,CreateView,UpdateView
from apps.estudiantes.models import Estudiante
from django.contrib.auth.models import User
from apps.estudiante... | 39.013699 | 98 | 0.688553 | from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.urls import reverse_lazy
from django.views.generic import ListView,CreateView,UpdateView
from apps.estudiantes.models import Estudiante
from django.contrib.auth.models import User
from apps.estudiantes.forms import Estudiante... | true | true |
f7f36c0f781e6349690c5255e702772204194bec | 2,050 | py | Python | misc/tracking.py | ryuji0123/hoby | 9737e032795d32b78891bf294ff739eaf8b50075 | [
"MIT"
] | null | null | null | misc/tracking.py | ryuji0123/hoby | 9737e032795d32b78891bf294ff739eaf8b50075 | [
"MIT"
] | null | null | null | misc/tracking.py | ryuji0123/hoby | 9737e032795d32b78891bf294ff739eaf8b50075 | [
"MIT"
] | null | null | null | import cv2
from multiprocessing import Process, Pool
from env import *
def updateTracker(trackers, frame):
for t in trackers:
track, bbox = t.update(frame)
if track:
p1 = (int(bbox[0]), int(bbox[1]))
p2 = (int(bbox[0]) + int(bbox[2]), int(bbox[1]) + int(bbox[3]))
... | 35.344828 | 121 | 0.551707 | import cv2
from multiprocessing import Process, Pool
from env import *
def updateTracker(trackers, frame):
for t in trackers:
track, bbox = t.update(frame)
if track:
p1 = (int(bbox[0]), int(bbox[1]))
p2 = (int(bbox[0]) + int(bbox[2]), int(bbox[1]) + int(bbox[3]))
... | true | true |
f7f36c85963324e7ce5b937cc2607ad92e24f172 | 34,529 | py | Python | model/super_resolution_model/DocumentSRModel/models/srunitnet_2x_2x.py | JinGyeSetBirdsFree/FudanOCR | e6b18b0eefaf832b2eb7198f5df79e00bd4cee36 | [
"MIT"
] | 25 | 2020-02-29T12:14:10.000Z | 2020-04-24T07:56:06.000Z | model/super_resolution_model/DocumentSRModel/models/srunitnet_2x_2x.py | dun933/FudanOCR | fd79b679044ea23fd9eb30691453ed0805d2e98b | [
"MIT"
] | 33 | 2020-12-10T19:15:39.000Z | 2022-03-12T00:17:30.000Z | model/super_resolution_model/DocumentSRModel/models/srunitnet_2x_2x.py | dun933/FudanOCR | fd79b679044ea23fd9eb30691453ed0805d2e98b | [
"MIT"
] | 4 | 2020-02-29T12:14:18.000Z | 2020-04-12T12:26:50.000Z | import numpy as np
from scipy.misc import imsave
import os
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.init as init
import torch.nn.functional as F
import torchvision
from torchvision import models
from torch.autograd import Variable
from torch.utils.data import DataLoader
import tor... | 45.25426 | 144 | 0.539112 | import numpy as np
from scipy.misc import imsave
import os
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.init as init
import torch.nn.functional as F
import torchvision
from torchvision import models
from torch.autograd import Variable
from torch.utils.data import DataLoader
import tor... | true | true |
f7f36e08915d2edeeaf97193ec835e44d788ebe4 | 59,743 | py | Python | habis/formats.py | ahesford/habis-tools | 82f82b99fa18452697404100edcf83bd03d35abc | [
"BSD-2-Clause"
] | null | null | null | habis/formats.py | ahesford/habis-tools | 82f82b99fa18452697404100edcf83bd03d35abc | [
"BSD-2-Clause"
] | null | null | null | habis/formats.py | ahesford/habis-tools | 82f82b99fa18452697404100edcf83bd03d35abc | [
"BSD-2-Clause"
] | null | null | null | '''
Routines for manipulating HABIS data file formats.
'''
# Copyright (c) 2015 Andrew J. Hesford. All rights reserved.
# Restrictions are listed in the LICENSE file distributed with this package.
import mmap
import numpy as np
import os
import struct
from itertools import repeat
from collections import OrderedDict... | 31.377626 | 109 | 0.713556 |
import mmap
import numpy as np
import os
import struct
from itertools import repeat
from collections import OrderedDict
from functools import reduce, partial
import warnings
class ArgparseLoader(object):
def __init__(self, loader, *args, **kwargs):
if not callable(loader):
raise TypeError('Argument "load... | true | true |
f7f36e815274af15754e557d4445793d2af7b368 | 1,140 | py | Python | Labs/lab3/l3e4.py | felixchiasson/ITI1520 | 4208904bf7576433313524ebd1c1bdb9f49277f2 | [
"MIT"
] | null | null | null | Labs/lab3/l3e4.py | felixchiasson/ITI1520 | 4208904bf7576433313524ebd1c1bdb9f49277f2 | [
"MIT"
] | null | null | null | Labs/lab3/l3e4.py | felixchiasson/ITI1520 | 4208904bf7576433313524ebd1c1bdb9f49277f2 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
###############################################################################
# File Name : l3e4.py
# Created By : Félix Chiasson (7138723)
# Creation Date : [2015-09-29 12:19]
# Last Modified : [2015-09-29 14:28]
# Description... | 32.571429 | 79 | 0.486842 | true | true | |
f7f36fbfefe9479984def8c8b40544a930ddf402 | 4,424 | py | Python | local_configs/share/gfl_r50_SyncBN_4x.py | SunshineOnLeft/share | cca0f32fbedb935e5a338ddfcb2694701049f907 | [
"Apache-2.0"
] | 1 | 2020-04-28T11:42:04.000Z | 2020-04-28T11:42:04.000Z | local_configs/share/gfl_r50_SyncBN_4x.py | SunshineOnLeft/mmdetection | cca0f32fbedb935e5a338ddfcb2694701049f907 | [
"Apache-2.0"
] | null | null | null | local_configs/share/gfl_r50_SyncBN_4x.py | SunshineOnLeft/mmdetection | cca0f32fbedb935e5a338ddfcb2694701049f907 | [
"Apache-2.0"
] | null | null | null | # model settings
model = dict(
type='GFL',
pretrained='torchvision://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
style... | 27.823899 | 77 | 0.600588 |
model = dict(
type='GFL',
pretrained='torchvision://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
style='pytorch'),
... | true | true |
f7f3713d8e21b003b4dc406f37eadf5be5e080e3 | 7,933 | py | Python | documentstore_migracao/utils/xylose_converter.py | joffilyfe/document-store-migracao | b5125b7aedec56f0e8787900bdfd124aaf65e3e3 | [
"BSD-2-Clause"
] | null | null | null | documentstore_migracao/utils/xylose_converter.py | joffilyfe/document-store-migracao | b5125b7aedec56f0e8787900bdfd124aaf65e3e3 | [
"BSD-2-Clause"
] | 14 | 2019-03-13T12:19:12.000Z | 2019-03-19T17:37:08.000Z | documentstore_migracao/utils/xylose_converter.py | joffilyfe/document-store-migracao | b5125b7aedec56f0e8787900bdfd124aaf65e3e3 | [
"BSD-2-Clause"
] | 3 | 2019-03-12T18:55:55.000Z | 2019-03-20T18:38:02.000Z | import logging
from typing import List
from datetime import datetime
from documentstore_migracao.utils import scielo_ids_generator
from xylose.scielodocument import Journal, Issue
logger = logging.getLogger(__name__)
def date_to_datetime(date: str) -> datetime:
"""Transforma datas no formato ISO em objetos datet... | 30.163498 | 88 | 0.651708 | import logging
from typing import List
from datetime import datetime
from documentstore_migracao.utils import scielo_ids_generator
from xylose.scielodocument import Journal, Issue
logger = logging.getLogger(__name__)
def date_to_datetime(date: str) -> datetime:
return datetime.strptime(date, "%Y-%m-%dT%H:%M:%S.%... | true | true |
f7f371e7d2960b5b76a56b9e38002e05c34642a7 | 14,205 | py | Python | google/cloud/forseti/services/scanner/dao.py | darrellkuhn/forseti-security | b54faf68d869842e8a43472ff980e28e2ce8d3c6 | [
"Apache-2.0"
] | null | null | null | google/cloud/forseti/services/scanner/dao.py | darrellkuhn/forseti-security | b54faf68d869842e8a43472ff980e28e2ce8d3c6 | [
"Apache-2.0"
] | 1 | 2020-11-10T22:15:54.000Z | 2020-11-10T22:15:54.000Z | google/cloud/forseti/services/scanner/dao.py | darrellkuhn/forseti-security | b54faf68d869842e8a43472ff980e28e2ce8d3c6 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The Forseti Security 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 ap... | 34.562044 | 79 | 0.629356 |
from builtins import object
from collections import defaultdict
import hashlib
import json
from sqlalchemy import BigInteger
from sqlalchemy import Column
from sqlalchemy import DateTime
from sqlalchemy import Integer
from sqlalchemy import String
from sqlalchemy import Text
from sqlalchemy import and_
... | true | true |
f7f372166bbeba66a5cf04cb10709d46af77029b | 8,962 | py | Python | second/utils/simplevis.py | muzi2045/second_TANET.pytorch | 3e10c93075a76684871fe0f188819c7b282671fd | [
"MIT"
] | 6 | 2020-02-15T09:11:53.000Z | 2021-11-12T09:03:41.000Z | second/utils/simplevis.py | muzi2045/second_TANET.pytorch | 3e10c93075a76684871fe0f188819c7b282671fd | [
"MIT"
] | 2 | 2020-04-15T02:40:44.000Z | 2020-11-28T02:14:32.000Z | second/utils/simplevis.py | muzi2045/second_TANET.pytorch | 3e10c93075a76684871fe0f188819c7b282671fd | [
"MIT"
] | 3 | 2020-02-11T20:12:50.000Z | 2021-05-28T07:31:02.000Z | # import sys
# # sys.path.remove('/opt/ros/kinetic/lib/python2.7/dist-packages')
# import cv2
# import numba
# import numpy as np
# from second.core import box_np_ops
# @numba.jit(nopython=True)
# def _points_to_bevmap_reverse_kernel(
# points,
# voxel_size,
# coors_range,
# coor_to_v... | 40.736364 | 92 | 0.57264 |
np.round(grid_size)
# # grid_size = np.round(grid_size).astype(np.int64)(np.int32)
# grid_size = np.round(grid_size, 0, grid_size).astype(np.int32)
# height_slice_size = voxel_size[-1]
# coor = np.zeros(shape=(3, ), dtype=np.int32) # DHW
# voxel_num = 0
# failed = False
# for i in range(N... | true | true |
f7f373c969946f20377f0b4dfeb16e23bda92915 | 17,739 | py | Python | src/robot/result/model.py | vokiput/robotframework | a93a66abcffc5282cad09fbda77b7c118754cd1e | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-12-29T05:31:08.000Z | 2021-12-29T05:31:08.000Z | src/robot/result/model.py | imust6226/robotframework | 08c56fef2ebc64d682c7f99acd77c480d8d0e028 | [
"ECL-2.0",
"Apache-2.0"
] | 26 | 2020-04-07T04:25:35.000Z | 2022-03-01T08:08:23.000Z | src/robot/result/model.py | imust6226/robotframework | 08c56fef2ebc64d682c7f99acd77c480d8d0e028 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2008-2015 Nokia Networks
# Copyright 2016- Robot Framework 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
... | 33.660342 | 116 | 0.638818 |
from collections import OrderedDict
from itertools import chain
import warnings
from robot import model
from robot.model import BodyItem, Keywords, TotalStatisticsBuilder
from robot.utils import get_elapsed_time, setter
from .configurer import SuiteConfigurer
from .messagefilter import MessageFilter
f... | true | true |
f7f3742921a1a4d8e91a398724ce81244fe41472 | 2,687 | py | Python | ObitSystem/ObitSD/python/OTFSoln2Cal.py | sarrvesh/Obit | e4ce6029e9beb2a8c0316ee81ea710b66b2b7986 | [
"Linux-OpenIB"
] | 5 | 2019-08-26T06:53:08.000Z | 2020-10-20T01:08:59.000Z | ObitSystem/ObitSD/python/OTFSoln2Cal.py | sarrvesh/Obit | e4ce6029e9beb2a8c0316ee81ea710b66b2b7986 | [
"Linux-OpenIB"
] | null | null | null | ObitSystem/ObitSD/python/OTFSoln2Cal.py | sarrvesh/Obit | e4ce6029e9beb2a8c0316ee81ea710b66b2b7986 | [
"Linux-OpenIB"
] | 8 | 2017-08-29T15:12:32.000Z | 2022-03-31T12:16:08.000Z | # $Id$
#-----------------------------------------------------------------------
# Copyright (C) 2004-2013
# Associated Universities, Inc. Washington DC, USA.
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License as
# published by the Free So... | 40.712121 | 76 | 0.631932 |
import Obit, OTF, OErr, Table
def POTFSoln2Cal(inOTF, outOTF, err):
""" Apply a Soln table to a Cal table and write a new Cal table
Calibration parameters are on the inOTF info member.
If an input Cal table is specified then apply Solutions in this routine,
if no input Cal... | false | true |
f7f374d86bf9178d17ca8bbe5bfe63526ad2de8f | 75 | py | Python | tests/python_output/output_sample_8.py | aeroshev/CMP | f4366972dfd752833094920728e4ce11ee58feae | [
"MIT"
] | null | null | null | tests/python_output/output_sample_8.py | aeroshev/CMP | f4366972dfd752833094920728e4ce11ee58feae | [
"MIT"
] | null | null | null | tests/python_output/output_sample_8.py | aeroshev/CMP | f4366972dfd752833094920728e4ce11ee58feae | [
"MIT"
] | null | null | null | import numpy as np
n = 10
f = n
while n > 1:
n = n - 1
f = f * n
| 8.333333 | 18 | 0.44 | import numpy as np
n = 10
f = n
while n > 1:
n = n - 1
f = f * n
| true | true |
f7f375b025da2e329822aa67a7676a6dff90221d | 9,281 | py | Python | lang/python/python.py | joshpearce/knausj_talon | 44c49806c6e53b2e5fe90fc24fd06a1fc5125883 | [
"MIT"
] | 3 | 2020-04-07T10:44:31.000Z | 2022-01-30T17:04:14.000Z | lang/python/python.py | joshpearce/knausj_talon | 44c49806c6e53b2e5fe90fc24fd06a1fc5125883 | [
"MIT"
] | 4 | 2022-01-30T17:48:02.000Z | 2022-02-13T19:50:45.000Z | lang/python/python.py | joshpearce/knausj_talon | 44c49806c6e53b2e5fe90fc24fd06a1fc5125883 | [
"MIT"
] | 1 | 2021-05-26T14:43:11.000Z | 2021-05-26T14:43:11.000Z | import re
from talon import Context, Module, actions, settings
mod = Module()
ctx = Context()
ctx.matches = r"""
mode: user.python
mode: user.auto_lang
and code.language: python
"""
ctx.lists["user.code_functions"] = {
"enumerate": "enumerate",
"integer": "int",
"length": "len",
"list": "list",
"p... | 34.630597 | 92 | 0.591962 | import re
from talon import Context, Module, actions, settings
mod = Module()
ctx = Context()
ctx.matches = r"""
mode: user.python
mode: user.auto_lang
and code.language: python
"""
ctx.lists["user.code_functions"] = {
"enumerate": "enumerate",
"integer": "int",
"length": "len",
"list": "list",
"p... | true | true |
f7f375c64383acfcf58fe37b4b06893b11584f57 | 6,954 | py | Python | team5ml/register/register_model.py | balakreshnan/mlopshack2020 | 12a40bba5d991a5478df6127eff0f2ab241abae5 | [
"MIT"
] | null | null | null | team5ml/register/register_model.py | balakreshnan/mlopshack2020 | 12a40bba5d991a5478df6127eff0f2ab241abae5 | [
"MIT"
] | null | null | null | team5ml/register/register_model.py | balakreshnan/mlopshack2020 | 12a40bba5d991a5478df6127eff0f2ab241abae5 | [
"MIT"
] | null | null | null | """
Copyright (C) Microsoft Corporation. All rights reserved.
Microsoft Corporation (“Microsoft”) grants you a nonexclusive, perpetual,
royalty-free right to use, copy, and modify the software code provided by us
("Software Code"). You may not sublicense the Software Code or any use of it
(except to your affiliates... | 32.344186 | 79 | 0.619931 | import json
import os
import sys
import argparse
import traceback
import joblib
from azureml.core import Run, Experiment, Workspace, Dataset
from azureml.core.model import Model as AMLModel
def main():
run = Run.get_context()
if (run.id.startswith('OfflineRun')):
from dotenv import load_dotenv
... | true | true |
f7f375d9a489238c7738ee695551641fff44b11c | 4,055 | py | Python | datasets.py | Cppowboy/APWEB-WAIM | 9474cbe60100a7b4d2333b8c3501a6a74e2ba190 | [
"MIT"
] | null | null | null | datasets.py | Cppowboy/APWEB-WAIM | 9474cbe60100a7b4d2333b8c3501a6a74e2ba190 | [
"MIT"
] | null | null | null | datasets.py | Cppowboy/APWEB-WAIM | 9474cbe60100a7b4d2333b8c3501a6a74e2ba190 | [
"MIT"
] | null | null | null | import os
import csv
import numpy as np
from tqdm import tqdm
from sklearn.utils import shuffle
from sklearn.model_selection import train_test_split
from xml.etree import ElementTree as ET
from nltk import word_tokenize
seed = 3535999445
#
# def _rocstories(path):
# with open(path, encoding='utf_8') as f:
# ... | 37.201835 | 122 | 0.531689 | import os
import csv
import numpy as np
from tqdm import tqdm
from sklearn.utils import shuffle
from sklearn.model_selection import train_test_split
from xml.etree import ElementTree as ET
from nltk import word_tokenize
seed = 3535999445
def _semeval(fname):
prin... | true | true |
f7f376453f779db0bda0a889ca2401f77f1bbb15 | 656 | py | Python | 01_Hello/hello08_formatted.py | davidlg2005/tiny_python_projects | 3f86615f32c10cb2e689ef4abc56c2c194063bfe | [
"MIT"
] | null | null | null | 01_Hello/hello08_formatted.py | davidlg2005/tiny_python_projects | 3f86615f32c10cb2e689ef4abc56c2c194063bfe | [
"MIT"
] | null | null | null | 01_Hello/hello08_formatted.py | davidlg2005/tiny_python_projects | 3f86615f32c10cb2e689ef4abc56c2c194063bfe | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Author: Ken Youens-Clark <kyclark@gmail.com>
Purpose: Say hello
"""
import argparse
# --------------------------------------------------
def get_args():
"""Get the command-line arguments"""
parser = argparse.ArgumentParser(description='Say hello')
parser.add_argument('-n', '-... | 21.866667 | 78 | 0.481707 |
import argparse
def get_args():
parser = argparse.ArgumentParser(description='Say hello')
parser.add_argument('-n', '--name', default='World', help='Name to greet')
return parser.parse_args()
def main():
args = get_args()
print('01_Hello, ' + args.name + '!')
if __name__ == '__main__':
... | true | true |
f7f3767d0ba100472c0068b2df4bef992993febc | 1,023 | py | Python | Alternate implementation/vran.py | ashtedroid/Test-Cases-Prioritization-and-Analysis | 70a6997f3764ea39c51fdc8cd6806e430088f8a7 | [
"MIT"
] | 1 | 2020-04-24T08:08:49.000Z | 2020-04-24T08:08:49.000Z | Alternate implementation/vran.py | ashtedroid/Test-Cases-Prioritization-and-Analysis | 70a6997f3764ea39c51fdc8cd6806e430088f8a7 | [
"MIT"
] | null | null | null | Alternate implementation/vran.py | ashtedroid/Test-Cases-Prioritization-and-Analysis | 70a6997f3764ea39c51fdc8cd6806e430088f8a7 | [
"MIT"
] | null | null | null | '''
=================================================================
@version 2.0
@author Ashwin Ramadevanahalli
@title Testing.
Random Priorization module.
=================================================================
'''
import random
import vec_manipulation
import sys
def pri(rrlist,location,p... | 17.947368 | 92 | 0.57087 | '''
=================================================================
@version 2.0
@author Ashwin Ramadevanahalli
@title Testing.
Random Priorization module.
=================================================================
'''
import random
import vec_manipulation
import sys
def pri(rrlist,location,p... | false | true |
f7f37745e718e98930284dc6fa7dcd22548b60bd | 3,235 | py | Python | basic/list1.py | mbradaschia/wttd-exercises-mod-01 | 0de943723a36ffe9fee99da501de238651ae3dd1 | [
"Apache-2.0"
] | null | null | null | basic/list1.py | mbradaschia/wttd-exercises-mod-01 | 0de943723a36ffe9fee99da501de238651ae3dd1 | [
"Apache-2.0"
] | null | null | null | basic/list1.py | mbradaschia/wttd-exercises-mod-01 | 0de943723a36ffe9fee99da501de238651ae3dd1 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python -tt
# Copyright 2010 Google Inc.
# Licensed under the Apache License, Version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
# Google's Python Class
# http://code.google.com/edu/languages/google-python-class/
# Basic list exercises
# Fill in the code for the functions below. main() is already set ... | 32.35 | 79 | 0.58949 |
# http://code.google.com/edu/languages/google-python-class/
# Basic list exercises
# Fill in the code for the functions below. main() is already set up
# to call the functions with a few different inputs,
# printing 'OK' when each function is correct.
# The starter code for each function includes a 'return'
# wh... | true | true |
f7f378806b9819c3952db343a7d3a22e62195f17 | 494 | py | Python | 09-lambda/lab9-2-1/index.py | imbgar/stel-u | 4bcfed482224230ade0cec3468da08995299cd1b | [
"MIT"
] | null | null | null | 09-lambda/lab9-2-1/index.py | imbgar/stel-u | 4bcfed482224230ade0cec3468da08995299cd1b | [
"MIT"
] | 1 | 2021-05-26T20:19:08.000Z | 2021-05-26T20:19:08.000Z | 09-lambda/lab9-2-1/index.py | imbgar/stel-u | 4bcfed482224230ade0cec3468da08995299cd1b | [
"MIT"
] | null | null | null | import json
import boto3
def lambda_handler(event, context):
data = json.loads(event["body"])
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('bgar-Movies')
print(f"Writing item with: {data}")
response = table.put_item(
Item={
'movie_id': data["movie_id"],
... | 20.583333 | 41 | 0.576923 | import json
import boto3
def lambda_handler(event, context):
data = json.loads(event["body"])
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('bgar-Movies')
print(f"Writing item with: {data}")
response = table.put_item(
Item={
'movie_id': data["movie_id"],
... | true | true |
f7f378b09fc4657386907f71e68a70c7e7b888b4 | 728 | py | Python | davaiops/routes/main.py | barretobrock/davaiops | a6ab8aff2a64c18d1ad199ed75e4de833bb19659 | [
"MIT"
] | null | null | null | davaiops/routes/main.py | barretobrock/davaiops | a6ab8aff2a64c18d1ad199ed75e4de833bb19659 | [
"MIT"
] | null | null | null | davaiops/routes/main.py | barretobrock/davaiops | a6ab8aff2a64c18d1ad199ed75e4de833bb19659 | [
"MIT"
] | null | null | null | from flask import (
render_template,
Blueprint,
Response
)
main = Blueprint('main', __name__)
@main.route('/')
@main.route('/home')
def index():
return render_template('index.html')
@main.route('/projects')
def projects():
return render_template('projects/projects.html', title='Projects')
@ma... | 22.75 | 95 | 0.679945 | from flask import (
render_template,
Blueprint,
Response
)
main = Blueprint('main', __name__)
@main.route('/')
@main.route('/home')
def index():
return render_template('index.html')
@main.route('/projects')
def projects():
return render_template('projects/projects.html', title='Projects')
@ma... | true | true |
f7f379afe54d7657538803ed559173df08e9740c | 3,306 | py | Python | blockbuster/workflows/command_start.py | mattstibbs/blockbuster-server | cc66278405fcb02ebf07624e70220550ef1ad13b | [
"MIT"
] | null | null | null | blockbuster/workflows/command_start.py | mattstibbs/blockbuster-server | cc66278405fcb02ebf07624e70220550ef1ad13b | [
"MIT"
] | 455 | 2015-02-02T21:29:35.000Z | 2021-08-02T05:37:49.000Z | blockbuster/workflows/command_start.py | greysteil/blockbuster-server | 475aa1f6da608f12c9c05607e3f302a21a712dfd | [
"MIT"
] | 2 | 2016-03-14T16:39:40.000Z | 2018-03-08T12:03:33.000Z | import blockbuster.bb_logging as log
import blockbuster.bb_dbconnector_factory
from blockbuster.messaging import bb_sms_handler
def go(smsrequest):
instance_name = smsrequest.instancename
blockbuster.bb_dbconnector_factory.DBConnectorInterfaceFactory().create()\
.add_analytics_record("Count", "Comma... | 36.733333 | 91 | 0.577132 | import blockbuster.bb_logging as log
import blockbuster.bb_dbconnector_factory
from blockbuster.messaging import bb_sms_handler
def go(smsrequest):
instance_name = smsrequest.instancename
blockbuster.bb_dbconnector_factory.DBConnectorInterfaceFactory().create()\
.add_analytics_record("Count", "Comma... | true | true |
f7f379c83fa40ccc03b9944cfb7ea25acf93529f | 671 | py | Python | src/compas/datastructures/network/__init__.py | kathrindoerfler/compas | e876b36b582ee055da673befca1b7ced3834090c | [
"MIT"
] | null | null | null | src/compas/datastructures/network/__init__.py | kathrindoerfler/compas | e876b36b582ee055da673befca1b7ced3834090c | [
"MIT"
] | null | null | null | src/compas/datastructures/network/__init__.py | kathrindoerfler/compas | e876b36b582ee055da673befca1b7ced3834090c | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import compas
from .core import * # noqa: F401 F403
from ._network import * # noqa: F401 F403
from .combinatorics import * # noqa: F401 F403
from .complementarity import * # noqa: F401 F403
from .duality ... | 27.958333 | 62 | 0.728763 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import compas
from .core import *
from ._network import *
from .combinatorics import *
from .complementarity import *
from .duality import *
from .explode import *
PY:
from .planarity_ import ... | true | true |
f7f37aba07e61156e8ee0d5038e69672668b88fc | 18,538 | py | Python | data_processing/exceeding_capacity_1.py | jgerardin/covid-chicago | c2b91fdb42eece413e6fb0f6cee019357b96e00d | [
"Apache-2.0"
] | 5 | 2020-06-01T19:36:38.000Z | 2020-12-08T16:14:35.000Z | data_processing/exceeding_capacity_1.py | jgerardin/covid-chicago | c2b91fdb42eece413e6fb0f6cee019357b96e00d | [
"Apache-2.0"
] | 104 | 2020-06-02T16:50:11.000Z | 2021-06-25T10:28:32.000Z | data_processing/exceeding_capacity_1.py | jgerardin/covid-chicago | c2b91fdb42eece413e6fb0f6cee019357b96e00d | [
"Apache-2.0"
] | 27 | 2020-06-01T19:36:45.000Z | 2021-07-21T19:57:19.000Z | print('Importing packages...')
import pandas as pd
import matplotlib.pyplot as plt
import datetime as dt
import seaborn as sns
import numpy as np
import matplotlib.dates as mdates
import datetime
#sns.set(color_codes=True)
import matplotlib as mpl
mpl.rcParams['pdf.fonttype'] = 42
import statistics as st
sns.set_style(... | 52.219718 | 300 | 0.572608 | print('Importing packages...')
import pandas as pd
import matplotlib.pyplot as plt
import datetime as dt
import seaborn as sns
import numpy as np
import matplotlib.dates as mdates
import datetime
import matplotlib as mpl
mpl.rcParams['pdf.fonttype'] = 42
import statistics as st
sns.set_style('whitegrid', {'axes.linewi... | true | true |
f7f37bcdb097cb45aa9099e97ec157565b548655 | 584 | py | Python | tests/core/request/test_request_body_urlencoded.py | ymoch/preacher | ae68170d14c72791884e91b20054bd13a79b52d0 | [
"MIT"
] | 3 | 2019-08-01T03:14:49.000Z | 2020-01-31T08:55:22.000Z | tests/core/request/test_request_body_urlencoded.py | ymoch/preacher | ae68170d14c72791884e91b20054bd13a79b52d0 | [
"MIT"
] | 353 | 2019-04-14T14:53:28.000Z | 2022-03-11T03:26:08.000Z | tests/core/request/test_request_body_urlencoded.py | ymoch/preacher | ae68170d14c72791884e91b20054bd13a79b52d0 | [
"MIT"
] | 1 | 2020-08-01T06:23:08.000Z | 2020-08-01T06:23:08.000Z | from unittest.mock import sentinel
from preacher.core.request.request_body import UrlencodedRequestBody
PKG = "preacher.core.request.request_body"
def test(mocker):
resolve_params = mocker.patch(f"{PKG}.resolve_url_params")
resolve_params.return_value = sentinel.resolved_params
body = UrlencodedRequest... | 30.736842 | 77 | 0.794521 | from unittest.mock import sentinel
from preacher.core.request.request_body import UrlencodedRequestBody
PKG = "preacher.core.request.request_body"
def test(mocker):
resolve_params = mocker.patch(f"{PKG}.resolve_url_params")
resolve_params.return_value = sentinel.resolved_params
body = UrlencodedRequest... | true | true |
f7f37c2c703711f06efc6918352020d1d675a36e | 2,977 | py | Python | ucscentralsdk/mometa/domain/DomainStorageFeature.py | ragupta-git/ucscentralsdk | 2678008b5fb6b0fafafec388d0874147e95a1086 | [
"Apache-2.0"
] | null | null | null | ucscentralsdk/mometa/domain/DomainStorageFeature.py | ragupta-git/ucscentralsdk | 2678008b5fb6b0fafafec388d0874147e95a1086 | [
"Apache-2.0"
] | null | null | null | ucscentralsdk/mometa/domain/DomainStorageFeature.py | ragupta-git/ucscentralsdk | 2678008b5fb6b0fafafec388d0874147e95a1086 | [
"Apache-2.0"
] | null | null | null | """This module contains the general information for DomainStorageFeature ManagedObject."""
from ...ucscentralmo import ManagedObject
from ...ucscentralcoremeta import UcsCentralVersion, MoPropertyMeta, MoMeta
from ...ucscentralmeta import VersionMeta
class DomainStorageFeatureConsts():
FUNCTIONAL_STATE_DISABLED ... | 53.160714 | 323 | 0.66745 |
from ...ucscentralmo import ManagedObject
from ...ucscentralcoremeta import UcsCentralVersion, MoPropertyMeta, MoMeta
from ...ucscentralmeta import VersionMeta
class DomainStorageFeatureConsts():
FUNCTIONAL_STATE_DISABLED = "disabled"
FUNCTIONAL_STATE_ENABLED = "enabled"
TYPE_MAJOR = "major"
TYPE_MIN... | true | true |
f7f37c2f47e6e6bca6928d1d0a997a653728f2e1 | 11,159 | py | Python | tests/integration/callbacks/test_basic_callback.py | iameo/dash | bc9889c0427238cececcb2acc7d67410cb1ace3c | [
"MIT"
] | null | null | null | tests/integration/callbacks/test_basic_callback.py | iameo/dash | bc9889c0427238cececcb2acc7d67410cb1ace3c | [
"MIT"
] | null | null | null | tests/integration/callbacks/test_basic_callback.py | iameo/dash | bc9889c0427238cececcb2acc7d67410cb1ace3c | [
"MIT"
] | null | null | null | import json
from multiprocessing import Value
import pytest
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import dash
from dash.dependencies import Input, Output, State
from dash.exceptions import PreventUpdate
def test_cbsc001_simple_callback(dash_duo):
app = dash.Das... | 32.344928 | 88 | 0.58473 | import json
from multiprocessing import Value
import pytest
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import dash
from dash.dependencies import Input, Output, State
from dash.exceptions import PreventUpdate
def test_cbsc001_simple_callback(dash_duo):
app = dash.Das... | true | true |
f7f37e26a4abbadcdf75458a769e83313a462957 | 315 | py | Python | backend/app/model/__init__.py | bbruceyuan/easy-blog | 742bd8d0c8f3d8af793c4e8f531daad410a46151 | [
"MIT"
] | 1 | 2018-08-01T10:51:54.000Z | 2018-08-01T10:51:54.000Z | backend/app/model/__init__.py | hey-bruce/easy_blog | 742bd8d0c8f3d8af793c4e8f531daad410a46151 | [
"MIT"
] | 1 | 2019-07-20T07:14:25.000Z | 2019-07-20T07:14:25.000Z | backend/app/model/__init__.py | bbruceyuan/easy-blog | 742bd8d0c8f3d8af793c4e8f531daad410a46151 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Created by BBruceyuan on 18-7-5.
from .user import User
from .post import Post
from .tag import Tag, TagUtil
from .category import Category, CategoryUtil
from .comment import Comment
from .tag_post_relation import tag_post_relation
from .category_post_relation import category_post_relation | 31.5 | 58 | 0.822222 |
from .user import User
from .post import Post
from .tag import Tag, TagUtil
from .category import Category, CategoryUtil
from .comment import Comment
from .tag_post_relation import tag_post_relation
from .category_post_relation import category_post_relation | true | true |
f7f37ec2387430bab8e02819fc60b64eedd5bf5a | 109,667 | py | Python | tensorflow/python/keras/engine/base_layer.py | faustomorales/tensorflow | 63b84e3b732f050e53902481fa8cb02791a5d789 | [
"Apache-2.0"
] | 2 | 2020-01-13T11:41:38.000Z | 2020-01-14T16:43:23.000Z | tensorflow/python/keras/engine/base_layer.py | faustomorales/tensorflow | 63b84e3b732f050e53902481fa8cb02791a5d789 | [
"Apache-2.0"
] | 1 | 2022-02-10T00:32:22.000Z | 2022-02-10T00:32:22.000Z | tensorflow/python/keras/engine/base_layer.py | faustomorales/tensorflow | 63b84e3b732f050e53902481fa8cb02791a5d789 | [
"Apache-2.0"
] | 2 | 2020-01-16T12:41:10.000Z | 2020-01-16T12:42:02.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 40.200513 | 111 | 0.680369 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import functools
import itertools
import threading
import numpy as np
from six.moves import zip
from google.protobuf import json_format
from tensorflow.core.framework impor... | true | true |
f7f37f964d91421f28dc708531732d6d685b7822 | 6,015 | py | Python | env/lib/python3.8/site-packages/ask_sdk_model/interfaces/display/template.py | adamash99/alexa-play-pot-of-greed | dc2d18dae55692a4bf1becb72685a5777870c643 | [
"MIT"
] | 90 | 2018-09-19T21:56:42.000Z | 2022-03-30T11:25:21.000Z | ask-sdk-model/ask_sdk_model/interfaces/display/template.py | ishitaojha/alexa-apis-for-python | a68f94b7a0e41f819595d6fe56e800403e8a4194 | [
"Apache-2.0"
] | 11 | 2018-09-23T12:16:48.000Z | 2021-06-10T19:49:45.000Z | ask-sdk-model/ask_sdk_model/interfaces/display/template.py | ishitaojha/alexa-apis-for-python | a68f94b7a0e41f819595d6fe56e800403e8a4194 | [
"Apache-2.0"
] | 28 | 2018-09-19T22:30:38.000Z | 2022-02-22T22:57:07.000Z | # coding: utf-8
#
# Copyright 2019 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "lice... | 36.676829 | 119 | 0.644389 |
import pprint
import re
import six
import typing
from enum import Enum
from abc import ABCMeta, abstractmethod
if typing.TYPE_CHECKING:
from typing import Dict, List, Optional, Union, Any
from datetime import datetime
from ask_sdk_model.interfaces.display.back_button_behavior import BackB... | true | true |
f7f37f9a9e15b732dceb3f4dca28437b6f6a15fd | 13,167 | py | Python | tests/security/signer_test.py | Kjwon15/python-ndn | 4d1c827958bce1caeacc16f72a47ee8c90db1d6e | [
"Apache-2.0"
] | null | null | null | tests/security/signer_test.py | Kjwon15/python-ndn | 4d1c827958bce1caeacc16f72a47ee8c90db1d6e | [
"Apache-2.0"
] | null | null | null | tests/security/signer_test.py | Kjwon15/python-ndn | 4d1c827958bce1caeacc16f72a47ee8c90db1d6e | [
"Apache-2.0"
] | null | null | null | # -----------------------------------------------------------------------------
# Copyright (C) 2019-2020 Xinyu Ma
#
# This file is part of python-ndn.
#
# 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 Li... | 73.558659 | 107 | 0.609934 |
from Cryptodome.Util.asn1 import DerSequence
from Cryptodome.Hash import SHA256
from Cryptodome.PublicKey import ECC
from Cryptodome.Signature import DSS
from ndn.encoding import make_data, MetaInfo, parse_data
from ndn.security import Sha256WithEcdsaSigner, Sha256WithRsaSigner, HmacSha256Signer
clas... | true | true |
f7f37fd7a132f846c29a5d13353c433dcb90f804 | 2,072 | py | Python | test/python/test_tanhgrad.py | conradjones/ngraph-bridge | 042011e6653b3ac0983511cf6604f9881cc6ee4b | [
"Apache-2.0"
] | null | null | null | test/python/test_tanhgrad.py | conradjones/ngraph-bridge | 042011e6653b3ac0983511cf6604f9881cc6ee4b | [
"Apache-2.0"
] | null | null | null | test/python/test_tanhgrad.py | conradjones/ngraph-bridge | 042011e6653b3ac0983511cf6604f9881cc6ee4b | [
"Apache-2.0"
] | null | null | null | # ==============================================================================
# Copyright 2018-2020 Intel Corporation
#
# 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://ww... | 33.967213 | 80 | 0.644305 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pytest
import numpy as np
import tensorflow as tf
from tensorflow.python.framework import constant_op
from tensorflow.python.ops.gen_math_ops import tanh_grad
from common import NgraphTes... | true | true |
f7f37ff82b14e5be3d7536b6115bff351b518400 | 1,230 | py | Python | src/RetroInteractive.py | stevenwalton/Retro-Learner | 74586c57b5dd5f6e82abaff99344285731f1fc56 | [
"MIT"
] | null | null | null | src/RetroInteractive.py | stevenwalton/Retro-Learner | 74586c57b5dd5f6e82abaff99344285731f1fc56 | [
"MIT"
] | null | null | null | src/RetroInteractive.py | stevenwalton/Retro-Learner | 74586c57b5dd5f6e82abaff99344285731f1fc56 | [
"MIT"
] | null | null | null | import retro
import gym
import Interactive as I
import pyglet
from pyglet import gl
from pyglet.window import key as keycodes
class RetroInteractive(I.Interactive):
'''
interactive setup for retro games
'''
def __init__(self, game, state, scenario):
env = retro.make(game=game, state=state, sce... | 25.625 | 71 | 0.504878 | import retro
import gym
import Interactive as I
import pyglet
from pyglet import gl
from pyglet.window import key as keycodes
class RetroInteractive(I.Interactive):
def __init__(self, game, state, scenario):
env = retro.make(game=game, state=state, scenario=scenario)
self.buttons = env.buttons
... | true | true |
f7f3809407cf79c3ec53b2e88ad04eb5ae64ae1b | 1,551 | py | Python | tests/activityinst/test_transitioninstance.py | asyncee/pycamunda | f4834d224ff99fcf80874efeaedf68a8a2efa926 | [
"MIT"
] | null | null | null | tests/activityinst/test_transitioninstance.py | asyncee/pycamunda | f4834d224ff99fcf80874efeaedf68a8a2efa926 | [
"MIT"
] | null | null | null | tests/activityinst/test_transitioninstance.py | asyncee/pycamunda | f4834d224ff99fcf80874efeaedf68a8a2efa926 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest.mock
import pytest
import pycamunda.activityinst
import pycamunda.incident
INCIDENT_TYPE_COUNT = pycamunda.incident.IncidentTypeCount(
incident_type=pycamunda.incident.IncidentType.failed_job,
incident_count=1
)
@unittest.mock.patch(
'pycamunda.incident.Inciden... | 37.829268 | 95 | 0.796905 |
import unittest.mock
import pytest
import pycamunda.activityinst
import pycamunda.incident
INCIDENT_TYPE_COUNT = pycamunda.incident.IncidentTypeCount(
incident_type=pycamunda.incident.IncidentType.failed_job,
incident_count=1
)
@unittest.mock.patch(
'pycamunda.incident.IncidentTypeCount.load',
l... | true | true |
f7f381b1782abf1c0a2a027d91e4c5a8e64080f7 | 3,561 | py | Python | L2J_DataPack/data/scripts/quests/152_ShardsOfGolem/__init__.py | Vladislav-Zolotaryov/L2J_Levelless_Custom | fb9fd3d22209679258cddc60cec104d740f13b8c | [
"MIT"
] | null | null | null | L2J_DataPack/data/scripts/quests/152_ShardsOfGolem/__init__.py | Vladislav-Zolotaryov/L2J_Levelless_Custom | fb9fd3d22209679258cddc60cec104d740f13b8c | [
"MIT"
] | null | null | null | L2J_DataPack/data/scripts/quests/152_ShardsOfGolem/__init__.py | Vladislav-Zolotaryov/L2J_Levelless_Custom | fb9fd3d22209679258cddc60cec104d740f13b8c | [
"MIT"
] | null | null | null | # Made by Mr. - Version 0.2
import sys
from com.l2jserver.gameserver.model.quest import State
from com.l2jserver.gameserver.model.quest import QuestState
from com.l2jserver.gameserver.model.quest.jython import QuestJython as JQuest
qn = "152_ShardsOfGolem"
HARRYS_RECEIPT1_ID = 1008
HARRYS_RECEIPT2_ID = 1009
GOLEM_SHA... | 32.669725 | 152 | 0.653468 |
import sys
from com.l2jserver.gameserver.model.quest import State
from com.l2jserver.gameserver.model.quest import QuestState
from com.l2jserver.gameserver.model.quest.jython import QuestJython as JQuest
qn = "152_ShardsOfGolem"
HARRYS_RECEIPT1_ID = 1008
HARRYS_RECEIPT2_ID = 1009
GOLEM_SHARD_ID = 1010
TOOL_BOX_ID = ... | true | true |
f7f382d0e64ce7f422f650dac29546de1a98616b | 3,948 | py | Python | sdk/python/ekuiper/runtime/function.py | Swilder-M/ekuiper | 514890f86f354f57952812d29632b435a80a4b0d | [
"Apache-2.0"
] | null | null | null | sdk/python/ekuiper/runtime/function.py | Swilder-M/ekuiper | 514890f86f354f57952812d29632b435a80a4b0d | [
"Apache-2.0"
] | null | null | null | sdk/python/ekuiper/runtime/function.py | Swilder-M/ekuiper | 514890f86f354f57952812d29632b435a80a4b0d | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 EMQ Technologies Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 35.890909 | 99 | 0.550405 |
import json
import logging
import traceback
from . import reg
from .connection import PairChannel
from .contextimpl import ContextImpl
from .symbol import SymbolRuntime
from ..function import Function
class FunctionRuntime(SymbolRuntime):
def __init__(self, ctrl: dict, s: Function):
ch = P... | true | true |
f7f382dfe2c534e51164e4b6292ea3bcf72475df | 3,888 | py | Python | sdk/python/pulumi_openstack/compute/keypair.py | Frassle/pulumi-openstack | 6fc26edd7c42e7c3d65a01cf9384148cc56466e4 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_openstack/compute/keypair.py | Frassle/pulumi-openstack | 6fc26edd7c42e7c3d65a01cf9384148cc56466e4 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_openstack/compute/keypair.py | Frassle/pulumi-openstack | 6fc26edd7c42e7c3d65a01cf9384148cc56466e4 | [
"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 pulumi
import pulumi.runtime
class Keypair(pulumi.CustomResource):
"""
Manages a V2 keypair resource within OpenStack.
... | 40.082474 | 111 | 0.639403 |
import pulumi
import pulumi.runtime
class Keypair(pulumi.CustomResource):
def __init__(__self__, __name__, __opts__=None, name=None, public_key=None, region=None, value_specs=None):
if not __name__:
raise TypeError('Missing resource name argument (for URN creation)')
if not isinstan... | true | true |
f7f383ba176078cdb8703b3c821c9201cf74c745 | 437 | py | Python | coding/ex12-13.py | Hira63S/KnightRyder | d4b7238d8fc8dfcdfbbb9fd5d232f6273c76840e | [
"MIT"
] | 1 | 2020-12-19T15:44:25.000Z | 2020-12-19T15:44:25.000Z | coding/ex12-13.py | Hira63S/PythonPractice | 5eadc04f2fb056b04db59a658d5914ea847be7d2 | [
"MIT"
] | null | null | null | coding/ex12-13.py | Hira63S/PythonPractice | 5eadc04f2fb056b04db59a658d5914ea847be7d2 | [
"MIT"
] | null | null | null | age = input("How old are you babe?")
race = input("What race are you?")
identity = input("How do you identify yourself. a no:")
print(f"So if you are {age} old, and you are from {race}, you identify as {identity}")
from sys import argv
script, first, second, third = argv
print("The script is called:", script)
print... | 29.133333 | 86 | 0.702517 | age = input("How old are you babe?")
race = input("What race are you?")
identity = input("How do you identify yourself. a no:")
print(f"So if you are {age} old, and you are from {race}, you identify as {identity}")
from sys import argv
script, first, second, third = argv
print("The script is called:", script)
print... | true | true |
f7f3854348397fc78bc156442518fd76cce148d2 | 20,920 | py | Python | content/test/gpu/gpu_tests/webgl_conformance_integration_test.py | zealoussnow/chromium | fd8a8914ca0183f0add65ae55f04e287543c7d4a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 76 | 2020-09-02T03:05:41.000Z | 2022-03-30T04:40:55.000Z | content/test/gpu/gpu_tests/webgl_conformance_integration_test.py | zealoussnow/chromium | fd8a8914ca0183f0add65ae55f04e287543c7d4a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 45 | 2020-09-02T03:21:37.000Z | 2022-03-31T22:19:45.000Z | content/test/gpu/gpu_tests/webgl_conformance_integration_test.py | zealoussnow/chromium | fd8a8914ca0183f0add65ae55f04e287543c7d4a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 8 | 2020-07-22T18:49:18.000Z | 2022-02-08T10:27:16.000Z | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from __future__ import print_function
import logging
import os
import re
import sys
from gpu_tests import common_browser_args as cba
from gpu_tests import ... | 36.830986 | 80 | 0.663767 |
from __future__ import print_function
import logging
import os
import re
import sys
from gpu_tests import common_browser_args as cba
from gpu_tests import gpu_helper
from gpu_tests import gpu_integration_test
from gpu_tests import path_util
from gpu_tests import webgl_test_util
conformance_harness_script = r"""
... | true | true |
f7f38644c50cf9d3fe8225cfecb7982366ecd8e9 | 7,986 | py | Python | rllib/examples/serving/cartpole_server.py | linyiyue/ray | 90d2456ec70270a1f894ec3ef6f3004533859e03 | [
"Apache-2.0"
] | 21,382 | 2016-09-26T23:12:52.000Z | 2022-03-31T21:47:45.000Z | rllib/examples/serving/cartpole_server.py | linyiyue/ray | 90d2456ec70270a1f894ec3ef6f3004533859e03 | [
"Apache-2.0"
] | 19,689 | 2016-09-17T08:21:25.000Z | 2022-03-31T23:59:30.000Z | rllib/examples/serving/cartpole_server.py | gramhagen/ray | c18caa4db36d466718bdbcb2229aa0b2dc03da1f | [
"Apache-2.0"
] | 4,114 | 2016-09-23T18:54:01.000Z | 2022-03-31T15:07:32.000Z | #!/usr/bin/env python
"""
Example of running an RLlib policy server, allowing connections from
external environment running clients. The server listens on
(a simple CartPole env
in this case) against an RLlib policy server listening on one or more
HTTP-speaking ports. See `cartpole_client.py` in this same directory for... | 34.422414 | 79 | 0.628475 |
import argparse
import gym
import os
import ray
from ray import tune
from ray.rllib.agents.dqn import DQNTrainer
from ray.rllib.agents.ppo import PPOTrainer
from ray.rllib.env.policy_server_input import PolicyServerInput
from ray.rllib.examples.custom_metrics_and_callbacks import MyCallbacks
from ray.tune.logger imp... | true | true |
f7f386c2f1e4e83cee0938597c36c1180de0a8d2 | 2,885 | py | Python | sas/operators.py | yijiangh/pyplanners | ef1ae33e233f20cd93ce03cba363b0f14fd078bc | [
"MIT"
] | 23 | 2017-11-13T23:56:25.000Z | 2022-02-12T08:56:28.000Z | sas/operators.py | yijiangh/pyplanners | ef1ae33e233f20cd93ce03cba363b0f14fd078bc | [
"MIT"
] | 1 | 2022-01-04T17:07:47.000Z | 2022-01-04T17:07:47.000Z | sas/operators.py | yijiangh/pyplanners | ef1ae33e233f20cd93ce03cba363b0f14fd078bc | [
"MIT"
] | 6 | 2017-07-13T07:21:13.000Z | 2022-03-25T08:21:57.000Z | from .states import *
class Operator(PartialState):
def __init__(self, args):
for k, v in args.items():
setattr(self, k, v)
self.args = args # TODO - use FrozenDict instead
self._frozen_args = frozenset(args.items())
self._hash = None
self.conditions = None
self.effects = None
sel... | 32.784091 | 122 | 0.652686 | from .states import *
class Operator(PartialState):
def __init__(self, args):
for k, v in args.items():
setattr(self, k, v)
self.args = args
self._frozen_args = frozenset(args.items())
self._hash = None
self.conditions = None
self.effects = None
self.test = lambda state: True
d... | true | true |
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