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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2acf5cc827236e1632b4ab5f89604160d95afc87 | 102 | py | Python | yucheng_ner/__init__.py | 131250208/TPLinkerNER | ef7c9a4d9a3324f7a4e4a9f11727367c5ca4e4c0 | [
"MIT"
] | 1 | 2020-11-19T13:02:34.000Z | 2020-11-19T13:02:34.000Z | yucheng_ner/__init__.py | 131250208/TPLinkerNER | ef7c9a4d9a3324f7a4e4a9f11727367c5ca4e4c0 | [
"MIT"
] | null | null | null | yucheng_ner/__init__.py | 131250208/TPLinkerNER | ef7c9a4d9a3324f7a4e4a9f11727367c5ca4e4c0 | [
"MIT"
] | null | null | null | from yucheng_ner.tplinker_ner import tplinker_ner
from yucheng_ner.ner_common import components, utils | 51 | 52 | 0.892157 | from yucheng_ner.tplinker_ner import tplinker_ner
from yucheng_ner.ner_common import components, utils | 0 | 0 | 0 |
2e03545e72140c8b2d853118bc5b211a21e8896e | 1,742 | py | Python | misc/zmqsnoop.py | brgirgis/pyzmqrpc3 | a93339f98686e7f695f7c8a19dac198e4fc56aab | [
"MIT"
] | null | null | null | misc/zmqsnoop.py | brgirgis/pyzmqrpc3 | a93339f98686e7f695f7c8a19dac198e4fc56aab | [
"MIT"
] | null | null | null | misc/zmqsnoop.py | brgirgis/pyzmqrpc3 | a93339f98686e7f695f7c8a19dac198e4fc56aab | [
"MIT"
] | null | null | null |
'''
Created on Apr 2014
Edited on Oct 2020
@author: Jan Verhoeven
@author: Bassem Girgis
@copyright: MIT license, see http://opensource.org/licenses/MIT
'''
import argparse
import signal
import sys
from typing import Optional, Tuple
import zmq
# Handle OS signals (like keyboard interrupt)
signal.signal(signa... | 21.775 | 73 | 0.619977 |
'''
Created on Apr 2014
Edited on Oct 2020
@author: Jan Verhoeven
@author: Bassem Girgis
@copyright: MIT license, see http://opensource.org/licenses/MIT
'''
import argparse
import signal
import sys
from typing import Optional, Tuple
import zmq
# Handle OS signals (like keyboard interrupt)
def _signal_handler(_... | 1,275 | 0 | 68 |
9b5f2a4b67b1ee2b3bd4b1a97fea1b31e9003769 | 2,038 | py | Python | T28_batch_ui.py | NathanMacDiarmid/ECOR-1051-Project | fae9e274ef57a29af511131908dcfb85e791af9a | [
"Unlicense"
] | null | null | null | T28_batch_ui.py | NathanMacDiarmid/ECOR-1051-Project | fae9e274ef57a29af511131908dcfb85e791af9a | [
"Unlicense"
] | null | null | null | T28_batch_ui.py | NathanMacDiarmid/ECOR-1051-Project | fae9e274ef57a29af511131908dcfb85e791af9a | [
"Unlicense"
] | null | null | null | # Submitted April 2, 2020
# Team 28:
# Nathan MacDiarmid 101098993
# Anita Ntomchukwu 101138391
# Sam Hurd 101146639
# Yahya Shah 101169280
# MILESTONE 3
# IMPORTS
from T28_image_filters import *
from Cimpl import *
# DEFINITIONS
def execute_filter(command: tuple) -> Image:
"""
Returns an image with the fi... | 22.395604 | 79 | 0.609421 | # Submitted April 2, 2020
# Team 28:
# Nathan MacDiarmid 101098993
# Anita Ntomchukwu 101138391
# Sam Hurd 101146639
# Yahya Shah 101169280
# MILESTONE 3
# IMPORTS
from T28_image_filters import *
from Cimpl import *
# DEFINITIONS
def execute_filter(command: tuple) -> Image:
"""
Returns an image with the fi... | 0 | 0 | 0 |
88dc25a7bff37aeba8e20d34161d9fc923acd8ac | 544 | py | Python | python/p003.py | livioribeiro/project-euler | 71f915b1ddad90c3a5b805cad7047cd6e4ce64ed | [
"MIT"
] | 2 | 2015-12-16T18:39:23.000Z | 2015-12-19T03:49:07.000Z | python/p003.py | livioribeiro/project-euler | 71f915b1ddad90c3a5b805cad7047cd6e4ce64ed | [
"MIT"
] | null | null | null | python/p003.py | livioribeiro/project-euler | 71f915b1ddad90c3a5b805cad7047cd6e4ce64ed | [
"MIT"
] | null | null | null | """
The prime factors of 13195 are 5, 7, 13 and 29.
What is the largest prime factor of the number 600851475143?
"""
import math
INPUT = 600851475143
if __name__ == '__main__':
for i in range(math.ceil(math.sqrt(INPUT)), 1, -2):
if INPUT % i == 0 and is_prime(i):
print(i)
break
| 18.758621 | 60 | 0.558824 | """
The prime factors of 13195 are 5, 7, 13 and 29.
What is the largest prime factor of the number 600851475143?
"""
import math
def is_prime(num):
if num <= 2:
return True
if num % 2 == 0:
return False
for i in range(3, math.ceil(math.sqrt(num)) + 1, 2):
if num % i == 0:
... | 202 | 0 | 23 |
cbbe64b49ba07940c302c5be1b82d33d7e5ea708 | 3,841 | py | Python | gpn/models/matern_ggp.py | WodkaRHR/Graph-Posterior-Network | 139e7c45c37324c9286e0cca60360a4978b3f411 | [
"MIT"
] | 23 | 2021-11-16T01:31:55.000Z | 2022-03-04T05:49:03.000Z | gpn/models/matern_ggp.py | WodkaRHR/Graph-Posterior-Network | 139e7c45c37324c9286e0cca60360a4978b3f411 | [
"MIT"
] | 1 | 2021-12-17T01:25:16.000Z | 2021-12-20T10:38:30.000Z | gpn/models/matern_ggp.py | WodkaRHR/Graph-Posterior-Network | 139e7c45c37324c9286e0cca60360a4978b3f411 | [
"MIT"
] | 7 | 2021-12-03T11:13:44.000Z | 2022-02-06T03:12:10.000Z | from typing import Tuple
import torch
import os
import tensorflow as tf
import networkx as nx
import scipy as sp
import numpy as np
import torch_geometric.utils as tu
from torch_geometric.data import Data
import gpflow
from gpn.utils import ModelConfiguration
from .gpflow_gpp import GPFLOWGGP
from .matern_ggp_utils i... | 36.580952 | 106 | 0.660505 | from typing import Tuple
import torch
import os
import tensorflow as tf
import networkx as nx
import scipy as sp
import numpy as np
import torch_geometric.utils as tu
from torch_geometric.data import Data
import gpflow
from gpn.utils import ModelConfiguration
from .gpflow_gpp import GPFLOWGGP
from .matern_ggp_utils i... | 3,082 | 0 | 80 |
5c8bbe5f5e6b002ce0ad5bbf441e36d1ceb4eeb0 | 3,664 | py | Python | analytics_utils/autocorrelation.py | patricksferraz/analytics-utils | 3b083e1d5eec9825bddf536d1f05db0643b2a710 | [
"MIT"
] | 1 | 2019-08-14T02:41:55.000Z | 2019-08-14T02:41:55.000Z | analytics_utils/autocorrelation.py | patricksferraz/analytics-utils | 3b083e1d5eec9825bddf536d1f05db0643b2a710 | [
"MIT"
] | null | null | null | analytics_utils/autocorrelation.py | patricksferraz/analytics-utils | 3b083e1d5eec9825bddf536d1f05db0643b2a710 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
This is the find module.
The find module supplies one function,
autocorrelation()
"""
from statsmodels.tsa.stattools import acf
import pandas as pd
def autocorrelation(
data_frame: pd.DataFrame,
unbiased: bool = False,
nlags: int = 40,
fft: bool = None,
alpha: floa... | 26.550725 | 77 | 0.567959 | # -*- coding: utf-8 -*-
"""
This is the find module.
The find module supplies one function,
autocorrelation()
"""
from statsmodels.tsa.stattools import acf
import pandas as pd
def autocorrelation(
data_frame: pd.DataFrame,
unbiased: bool = False,
nlags: int = 40,
fft: bool = None,
alpha: floa... | 0 | 0 | 0 |
ebfc27beaee1b32063685d09cce85b000da8edf1 | 431 | py | Python | Ex029.py | raphaeltertuliano/Python | ffa9813aaa13ccca807f7c08be9489a2d88d3d62 | [
"MIT"
] | 1 | 2021-11-23T21:38:46.000Z | 2021-11-23T21:38:46.000Z | Ex029.py | raphaeltertuliano/Python | ffa9813aaa13ccca807f7c08be9489a2d88d3d62 | [
"MIT"
] | null | null | null | Ex029.py | raphaeltertuliano/Python | ffa9813aaa13ccca807f7c08be9489a2d88d3d62 | [
"MIT"
] | null | null | null | #Escreva um progrma que leia a velocidade de um carro.
#Se ele ultrapassar 80Km/h, mostre um mensagem de que ele foi multado
#A multa vai custar R$7,00 por cada Km acima do limite.
v = float(input('Velocidade do carro: '))
if v <= 80:
print('Dentro do limite de velocidade. Boa viagem')
else:
print(f'Velocidade... | 35.916667 | 69 | 0.677494 | #Escreva um progrma que leia a velocidade de um carro.
#Se ele ultrapassar 80Km/h, mostre um mensagem de que ele foi multado
#A multa vai custar R$7,00 por cada Km acima do limite.
v = float(input('Velocidade do carro: '))
if v <= 80:
print('Dentro do limite de velocidade. Boa viagem')
else:
print(f'Velocidade... | 0 | 0 | 0 |
5dce94849acc5a2df23e97ba2c96d11861c4c527 | 455 | py | Python | Python/middle-of-the-linked-list.py | Ravan339/LeetCode | 4276e562aa67e4c39cd92be5d2d6700a9465a579 | [
"MIT"
] | 4 | 2019-12-09T20:23:17.000Z | 2021-11-24T08:59:21.000Z | Python/middle-of-the-linked-list.py | Ravan339/LeetCode | 4276e562aa67e4c39cd92be5d2d6700a9465a579 | [
"MIT"
] | null | null | null | Python/middle-of-the-linked-list.py | Ravan339/LeetCode | 4276e562aa67e4c39cd92be5d2d6700a9465a579 | [
"MIT"
] | 9 | 2020-03-15T23:32:26.000Z | 2022-02-25T05:51:26.000Z | # https://leetcode.com/problems/middle-of-the-linked-list/
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
| 19.782609 | 58 | 0.531868 | # https://leetcode.com/problems/middle-of-the-linked-list/
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def middleNode(self, head):
"""
:type head: ListNode
:rtype: ListNode
""... | 0 | 237 | 23 |
bda2a5e2ce26d03c188538f3c96972517acbd7d7 | 1,723 | py | Python | tests/test_field_amount.py | BitySA/swissdta | 046f466610e1197eea1e04683085b7008898c93a | [
"MIT"
] | null | null | null | tests/test_field_amount.py | BitySA/swissdta | 046f466610e1197eea1e04683085b7008898c93a | [
"MIT"
] | 3 | 2017-10-21T08:45:01.000Z | 2021-06-02T00:16:43.000Z | tests/test_field_amount.py | BitySA/swissdta | 046f466610e1197eea1e04683085b7008898c93a | [
"MIT"
] | 2 | 2017-10-20T09:45:52.000Z | 2018-12-03T16:00:40.000Z | """Tests for the Amount field"""
from decimal import Decimal
import pytest
from swissdta.fields import Amount
from swissdta.records.record import DTARecord
FIELD_LENGTH = 8
class ARecord(DTARecord):
"""Subclass of DTARecord for testing the Numeric field"""
field = Amount(length=FIELD_LENGTH)
@pytest.mar... | 30.22807 | 64 | 0.612304 | """Tests for the Amount field"""
from decimal import Decimal
import pytest
from swissdta.fields import Amount
from swissdta.records.record import DTARecord
FIELD_LENGTH = 8
class ARecord(DTARecord):
"""Subclass of DTARecord for testing the Numeric field"""
field = Amount(length=FIELD_LENGTH)
@pytest.mar... | 197 | 0 | 22 |
ce2e8e0ca9f87c9bcb289954d8f5c250c1e39f69 | 3,064 | py | Python | src/scripts/ct.py | xuanxiaoliqu/CRC4Docker | 5ee26f9a590b727693202d8ad3b6460970304bd9 | [
"MIT"
] | 1 | 2020-10-26T12:02:08.000Z | 2020-10-26T12:02:08.000Z | src/scripts/ct.py | TonyZPW/CRC4Docker | e52a6e88d4469284a071c0b96d009f6684dbb2ea | [
"MIT"
] | null | null | null | src/scripts/ct.py | TonyZPW/CRC4Docker | e52a6e88d4469284a071c0b96d009f6684dbb2ea | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#******************************************************************************
# Name: ct.py
# Purpose: determine classification accuracy and contingency table
# from test data
# Usage:
# python ct.py
#
# Copyright (c) 2018, Mort Canty
import numpy as np
impo... | 31.265306 | 79 | 0.465731 | #!/usr/bin/env python
#******************************************************************************
# Name: ct.py
# Purpose: determine classification accuracy and contingency table
# from test data
# Usage:
# python ct.py
#
# Copyright (c) 2018, Mort Canty
import numpy as np
impo... | 2,585 | 0 | 45 |
2d974f6f2e2ec53dacc65c4d74b242efd37bc595 | 2,085 | py | Python | botcommands/morbidity.py | pastorhudson/mtb-pykeybasebot | af977f5823b178c91fb870058369f8a65205f7d6 | [
"BSD-3-Clause"
] | null | null | null | botcommands/morbidity.py | pastorhudson/mtb-pykeybasebot | af977f5823b178c91fb870058369f8a65205f7d6 | [
"BSD-3-Clause"
] | null | null | null | botcommands/morbidity.py | pastorhudson/mtb-pykeybasebot | af977f5823b178c91fb870058369f8a65205f7d6 | [
"BSD-3-Clause"
] | null | null | null | import gspread
import pandas as pd
from datetime import datetime
import os
import json
# print(os.environ.get('google_p_key'))
credentials = json.loads(os.environ.get('google_p_key'))
gc = gspread.service_account_from_dict(credentials)
sh = gc.open_by_key("1b9o6uDO18sLxBqPwl_Gh9bnhW-ev_dABH83M5Vb5L8o")
worksheet =... | 30.661765 | 84 | 0.656595 | import gspread
import pandas as pd
from datetime import datetime
import os
import json
# print(os.environ.get('google_p_key'))
credentials = json.loads(os.environ.get('google_p_key'))
gc = gspread.service_account_from_dict(credentials)
sh = gc.open_by_key("1b9o6uDO18sLxBqPwl_Gh9bnhW-ev_dABH83M5Vb5L8o")
worksheet =... | 1,343 | 0 | 69 |
6252e057a7f774fa6c73d66594dcda75d9fbb137 | 689 | py | Python | MetaheuristicOptimization/Assignment2/TEST/NQUEENS_CODE_AND_DATA/convert.py | bhattacharjee/ml-assignments | 631492b1f1aa1ace5365abfa7fec9c187e99d28a | [
"MIT"
] | null | null | null | MetaheuristicOptimization/Assignment2/TEST/NQUEENS_CODE_AND_DATA/convert.py | bhattacharjee/ml-assignments | 631492b1f1aa1ace5365abfa7fec9c187e99d28a | [
"MIT"
] | null | null | null | MetaheuristicOptimization/Assignment2/TEST/NQUEENS_CODE_AND_DATA/convert.py | bhattacharjee/ml-assignments | 631492b1f1aa1ace5365abfa7fec9c187e99d28a | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import sys
filename = sys.argv[1]
out_filename = filename[:-3] + "csv"
with open(filename, "r", encoding='utf-16le') as inputFile:
with open(out_filename, "w") as outputFile:
lines = [line.strip() for line in inputFile.readlines()]
lines = [line[2:] for line in lines if line.st... | 28.708333 | 68 | 0.596517 | #!/usr/bin/python3
import sys
filename = sys.argv[1]
out_filename = filename[:-3] + "csv"
with open(filename, "r", encoding='utf-16le') as inputFile:
with open(out_filename, "w") as outputFile:
lines = [line.strip() for line in inputFile.readlines()]
lines = [line[2:] for line in lines if line.st... | 0 | 0 | 0 |
0782aa9b1306a84d232eb6fb81a8e64dd65ec477 | 1,039 | py | Python | cli/iotexetl/utils/iotex_utils.py | blockchain-etl/iotex-etl | bd350c3190acac35d17532eff383e05d08011e24 | [
"MIT"
] | 3 | 2020-07-04T13:53:38.000Z | 2020-07-30T15:07:35.000Z | cli/iotexetl/utils/iotex_utils.py | blockchain-etl/iotex-etl | bd350c3190acac35d17532eff383e05d08011e24 | [
"MIT"
] | 13 | 2020-07-16T06:07:33.000Z | 2020-08-20T10:35:10.000Z | cli/iotexetl/utils/iotex_utils.py | blockchain-etl/iotex-etl | bd350c3190acac35d17532eff383e05d08011e24 | [
"MIT"
] | 1 | 2021-01-20T10:06:20.000Z | 2021-01-20T10:06:20.000Z | import bech32
from eth_hash.auto import keccak as keccak_256
DEFAULT_ADDRESS_PREFIX = 'io'
def pubkey_to_address(pubkey, prefix=None):
"""This implements the algorithm described here https://github.com/iotexproject/iotex-address"""
if prefix is None:
prefix = DEFAULT_ADDRESS_PREFIX
if pubkey is... | 27.342105 | 100 | 0.732435 | import bech32
from eth_hash.auto import keccak as keccak_256
DEFAULT_ADDRESS_PREFIX = 'io'
def set_iotex_utils_context(address_prefix):
global DEFAULT_ADDRESS_PREFIX
DEFAULT_ADDRESS_PREFIX = address_prefix
def pubkey_to_address(pubkey, prefix=None):
"""This implements the algorithm described here https... | 415 | 0 | 69 |
297572fc491a36c41352e325663d421d04d40933 | 177 | py | Python | Python/src/util/data.py | LN-STEMpunks/VexBot | f7bebe01ab35686cab92b8c2035d32f8f8372d64 | [
"RSA-MD"
] | null | null | null | Python/src/util/data.py | LN-STEMpunks/VexBot | f7bebe01ab35686cab92b8c2035d32f8f8372d64 | [
"RSA-MD"
] | null | null | null | Python/src/util/data.py | LN-STEMpunks/VexBot | f7bebe01ab35686cab92b8c2035d32f8f8372d64 | [
"RSA-MD"
] | null | null | null | """
Input and output data
"""
from networktables import NetworkTables
import logging
logging.basicConfig(level=logging.DEBUG)
SD = NetworkTables.getTable("SmartDashboard")
| 13.615385 | 45 | 0.785311 | """
Input and output data
"""
from networktables import NetworkTables
import logging
logging.basicConfig(level=logging.DEBUG)
SD = NetworkTables.getTable("SmartDashboard")
| 0 | 0 | 0 |
3cb80b80af56503f39e62a6900fb4e57018aac52 | 2,096 | py | Python | NetTtest/res.py | FoyerSociety/QPC-SESAME | 7512f9e038f7fb6070c40783f4b7bda812eb419b | [
"Unlicense"
] | 1 | 2019-06-16T06:13:43.000Z | 2019-06-16T06:13:43.000Z | NetTtest/res.py | FoyerSociety/QPC-SESAME | 7512f9e038f7fb6070c40783f4b7bda812eb419b | [
"Unlicense"
] | null | null | null | NetTtest/res.py | FoyerSociety/QPC-SESAME | 7512f9e038f7fb6070c40783f4b7bda812eb419b | [
"Unlicense"
] | null | null | null | import time, threading
from scapy.all import *
listc = []
lists = []
print('debut')
x = time.time()
p1 = Find(1,50)
p2 = Find(50,100)
p3 = Find(100, 150)
p4 = Find(150,200)
p1.start()
p2.start()
p3.start()
p4.start()
for i in range(200, 250):
print(time.time() - x , 's :', f'192.168.8.{i}... | 29.942857 | 122 | 0.435115 | import time, threading
from scapy.all import *
listc = []
lists = []
print('debut')
x = time.time()
class Find(threading.Thread):
def __init__(self, a, b):
self.a = a
self.b = b
threading.Thread.__init__(self)
def search(self, a, b):
global listc
for i in range(a, ... | 1,115 | 8 | 108 |
347fe3f18ce0feef76ca7424f649fe2df32a9534 | 2,825 | py | Python | taco/test/test_bedgraph.py | tacorna/taco | eeaeb879b8622365123edbc61ebc100d84194b80 | [
"MIT"
] | 22 | 2016-04-03T16:30:54.000Z | 2022-03-07T23:01:08.000Z | taco/test/test_bedgraph.py | tacorna/taco | eeaeb879b8622365123edbc61ebc100d84194b80 | [
"MIT"
] | 18 | 2016-04-10T15:33:09.000Z | 2022-02-06T15:53:25.000Z | taco/test/test_bedgraph.py | tacorna/taco | eeaeb879b8622365123edbc61ebc100d84194b80 | [
"MIT"
] | 5 | 2016-11-23T22:26:00.000Z | 2021-06-09T11:23:20.000Z | '''
TACO: Multi-sample transcriptome assembly from RNA-Seq
'''
import os
import cStringIO
import timeit
import numpy as np
from taco.lib.dtypes import FLOAT_DTYPE
from taco.lib.bedgraph import array_to_bedgraph, bedgraph_to_array
from taco.lib.cbedgraph import array_to_bedgraph as c_array_to_bedgraph
| 27.427184 | 71 | 0.647788 | '''
TACO: Multi-sample transcriptome assembly from RNA-Seq
'''
import os
import cStringIO
import timeit
import numpy as np
from taco.lib.dtypes import FLOAT_DTYPE
from taco.lib.bedgraph import array_to_bedgraph, bedgraph_to_array
from taco.lib.cbedgraph import array_to_bedgraph as c_array_to_bedgraph
def write_and_r... | 2,330 | 0 | 184 |
8f1ae0df3d2caf0aac1e3036584ca2faea7b680b | 1,093 | py | Python | tests/test_utils.py | sodre/sqs-workers | 46e14694805c4c2185a29ce2e906143358d06d8c | [
"MIT"
] | 21 | 2018-10-06T21:51:51.000Z | 2021-04-30T19:22:38.000Z | tests/test_utils.py | sodre/sqs-workers | 46e14694805c4c2185a29ce2e906143358d06d8c | [
"MIT"
] | 15 | 2019-02-27T13:19:34.000Z | 2022-03-16T17:40:05.000Z | tests/test_utils.py | sodre/sqs-workers | 46e14694805c4c2185a29ce2e906143358d06d8c | [
"MIT"
] | 4 | 2019-02-27T12:21:26.000Z | 2021-09-20T05:04:09.000Z | from textwrap import TextWrapper
from sqs_workers.utils import (
adv_bind_arguments,
adv_validate_arguments,
instantiate_from_dict,
instantiate_from_string,
string_to_object,
)
| 24.288889 | 70 | 0.675206 | from textwrap import TextWrapper
from sqs_workers.utils import (
adv_bind_arguments,
adv_validate_arguments,
instantiate_from_dict,
instantiate_from_string,
string_to_object,
)
def test_string_to_object():
splitext = string_to_object("os.path.splitext")
assert splitext("foo.txt") == ("foo... | 775 | 0 | 115 |
823d5ccd7f4b25190eae376bdf8bf96d5298b941 | 6,202 | py | Python | loaders.py | singleswitch/ticker | 1e793316f2a3252d80339a69672ad81df550875d | [
"MIT"
] | null | null | null | loaders.py | singleswitch/ticker | 1e793316f2a3252d80339a69672ad81df550875d | [
"MIT"
] | 1 | 2018-11-06T09:30:23.000Z | 2018-11-06T09:30:23.000Z | loaders.py | singleswitch/ticker | 1e793316f2a3252d80339a69672ad81df550875d | [
"MIT"
] | 1 | 2019-01-23T14:46:11.000Z | 2019-01-23T14:46:11.000Z |
import numpy as np
import cPickle
"""* This file contains everything that has to be loaded from lookuptables e.g., the sound file lengths, the alphabet etc
* Lookuptables stored in files, all depend on a root directory"""
class AlphabetLoader(FileLoader):
"""This class contains all the loading functions asso... | 45.270073 | 204 | 0.632215 |
import numpy as np
import cPickle
"""* This file contains everything that has to be loaded from lookuptables e.g., the sound file lengths, the alphabet etc
* Lookuptables stored in files, all depend on a root directory"""
class FileLoader():
def __init__(self , i_root_dir):
self.setRootDir(i_root_dir... | 4,448 | 43 | 772 |
d257ca048420318e5eb15a7666e242097d2ed7a8 | 394 | py | Python | server.py | michaelrbock/hackers-job-apply | c5f6c26046946316067897cf9ab9b5e6d7310e8a | [
"MIT"
] | 20 | 2015-05-28T20:08:55.000Z | 2020-10-12T21:51:12.000Z | server.py | michaelrbock/hackers-job-apply | c5f6c26046946316067897cf9ab9b5e6d7310e8a | [
"MIT"
] | null | null | null | server.py | michaelrbock/hackers-job-apply | c5f6c26046946316067897cf9ab9b5e6d7310e8a | [
"MIT"
] | 5 | 2016-02-16T13:54:04.000Z | 2020-06-26T18:50:22.000Z | import os
from flask import Flask, request
app = Flask(__name__)
@app.route('/', methods=["GET", "POST"])
if __name__ == "__main__":
app.run(debug=True)
| 23.176471 | 109 | 0.64467 | import os
from flask import Flask, request
app = Flask(__name__)
@app.route('/', methods=["GET", "POST"])
def index():
if request.json and request.json.get("answer") == os.getenv("ANSWER"):
return os.getenv("JOB_EMAIL") + "\n"
return "%s %s" % (os.getenv("QUESTION"), "POST json to the server with the answer -> ... | 212 | 0 | 22 |
b4fa2855a728102eb7e89aa73c52415f48029918 | 1,782 | py | Python | paypaladaptive/settings.py | amineck/django-paypal-adaptive | 98a5d4674a4ae2b619ff4f9ee11240c27d03ac73 | [
"CC-BY-3.0"
] | 4 | 2015-01-21T10:42:21.000Z | 2016-01-19T09:16:55.000Z | paypaladaptive/settings.py | amineck/django-paypal-adaptive | 98a5d4674a4ae2b619ff4f9ee11240c27d03ac73 | [
"CC-BY-3.0"
] | 6 | 2015-01-14T22:13:10.000Z | 2021-06-10T20:34:41.000Z | paypaladaptive/settings.py | amineck/django-paypal-adaptive | 98a5d4674a4ae2b619ff4f9ee11240c27d03ac73 | [
"CC-BY-3.0"
] | 10 | 2015-03-23T14:16:30.000Z | 2021-02-21T02:05:27.000Z | from datetime import timedelta
from django.conf import settings
from money import set_default_currency
DEBUG = getattr(settings, "DEBUG", False)
if DEBUG:
# use sandboxes while in debug mode
PAYPAL_ENDPOINT = 'https://svcs.sandbox.paypal.com/AdaptivePayments/'
PAYPAL_PAYMENT_HOST = 'https://www.sandbox.p... | 40.5 | 89 | 0.795174 | from datetime import timedelta
from django.conf import settings
from money import set_default_currency
DEBUG = getattr(settings, "DEBUG", False)
if DEBUG:
# use sandboxes while in debug mode
PAYPAL_ENDPOINT = 'https://svcs.sandbox.paypal.com/AdaptivePayments/'
PAYPAL_PAYMENT_HOST = 'https://www.sandbox.p... | 0 | 0 | 0 |
a6c3a422b10ad2352d84749db1185f4c78782d2e | 11,228 | py | Python | vcd2json.py | anders-code/vcd2json | 146384371f6b877b5a787c5bad2f9f171bad30e2 | [
"MIT"
] | 1 | 2022-01-29T23:32:40.000Z | 2022-01-29T23:32:40.000Z | vcd2json.py | anders-code/vcd2json | 146384371f6b877b5a787c5bad2f9f171bad30e2 | [
"MIT"
] | null | null | null | vcd2json.py | anders-code/vcd2json | 146384371f6b877b5a787c5bad2f9f171bad30e2 | [
"MIT"
] | null | null | null | """Create WaveJSON text string from VCD file."""
import sys
| 34.336391 | 77 | 0.483969 | """Create WaveJSON text string from VCD file."""
import sys
class _SignalDef:
def __init__(self, name, sid, length):
self._name = name
self._sid = sid
self._length = length
self._fmt = ''
class WaveExtractor:
def __init__(self, vcd_file, json_file, path_list):
"""
... | 7,002 | 3,882 | 280 |
c141fd6371c72cd5ede68d8b52c9dc5b2a9703e2 | 3,532 | py | Python | agent.py | lmbaeza/Laberinto-SI | c86b459f13c9d9a58a64e17fcf228fe486755df7 | [
"MIT"
] | null | null | null | agent.py | lmbaeza/Laberinto-SI | c86b459f13c9d9a58a64e17fcf228fe486755df7 | [
"MIT"
] | null | null | null | agent.py | lmbaeza/Laberinto-SI | c86b459f13c9d9a58a64e17fcf228fe486755df7 | [
"MIT"
] | null | null | null | import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import B... | 36.040816 | 110 | 0.583522 | import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import B... | 2,818 | -9 | 174 |
5ad1a42fbcf99a0df17e4be175d2b9c068c6de4d | 593 | py | Python | fish_core/scrapy/run_crawler.py | SylvanasSun/FishFishJump | 696212d242d8d572f3f1b43925f3d8ab8acc6a2d | [
"MIT"
] | 60 | 2018-03-09T07:06:10.000Z | 2021-11-18T15:53:04.000Z | fish_core/scrapy/run_crawler.py | qiubaiying/FishFishJump | 696212d242d8d572f3f1b43925f3d8ab8acc6a2d | [
"MIT"
] | 1 | 2018-04-03T11:05:54.000Z | 2018-04-03T20:06:41.000Z | fish_core/scrapy/run_crawler.py | qiubaiying/FishFishJump | 696212d242d8d572f3f1b43925f3d8ab8acc6a2d | [
"MIT"
] | 8 | 2018-03-12T03:07:00.000Z | 2021-06-11T05:16:11.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sched
import time
"""
Perform crawling tasks on a regular basis,
this module default starts crawler 'fish_simple_crawler' on the everyday.
"""
scheduler = sched.scheduler(time.time, time.sleep)
if __name__ == '__main__':
scheduler.enter(0, 0, ... | 21.962963 | 76 | 0.716695 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sched
import time
"""
Perform crawling tasks on a regular basis,
this module default starts crawler 'fish_simple_crawler' on the everyday.
"""
scheduler = sched.scheduler(time.time, time.sleep)
def crawl_tasks(spider_name):
os.system('scrapy cra... | 161 | 0 | 46 |
3c8a8feacb5678a703a405eb0fbe5a06f7f05dc1 | 437 | py | Python | model/roi_layers/nms.py | ZhangHanbo/Visual-Manipulation-Relationship-Network-Pytorch | 9dd24947db318f6e404918d4758f1d824eea3748 | [
"MIT"
] | 26 | 2019-10-31T08:21:46.000Z | 2022-03-11T13:58:43.000Z | model/roi_layers/nms.py | moli1026/regrad | f66c38c00405b22cb746cc3f5c38d2b49f77d854 | [
"MIT"
] | 12 | 2019-11-07T09:12:50.000Z | 2022-03-12T02:58:18.000Z | model/roi_layers/nms.py | moli1026/regrad | f66c38c00405b22cb746cc3f5c38d2b49f77d854 | [
"MIT"
] | 11 | 2019-10-30T08:44:47.000Z | 2022-03-11T13:58:48.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# from ._utils import _C
import torch
if torch.__version__.split(".")[0] == "1":
from torchvision.ops import nms
elif torch.__version__ == "0.4.0":
from model.nms.nms_wrapper import nms
else:
raise RuntimeError("unsupported torch versi... | 31.214286 | 91 | 0.713959 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# from ._utils import _C
import torch
if torch.__version__.split(".")[0] == "1":
from torchvision.ops import nms
elif torch.__version__ == "0.4.0":
from model.nms.nms_wrapper import nms
else:
raise RuntimeError("unsupported torch versi... | 0 | 0 | 0 |
2a873e86730c2b7e035acf29e0e6c9308282c3c7 | 1,834 | py | Python | motion_sensor.py | joelghill/catcam | 1b95b23d48bcaf42a028a90f728c0609b2ef9f79 | [
"MIT"
] | 1 | 2018-05-09T06:51:49.000Z | 2018-05-09T06:51:49.000Z | motion_sensor.py | joelghill/catcam | 1b95b23d48bcaf42a028a90f728c0609b2ef9f79 | [
"MIT"
] | null | null | null | motion_sensor.py | joelghill/catcam | 1b95b23d48bcaf42a028a90f728c0609b2ef9f79 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import RPi.GPIO as GPIO
import time
#monitor = SonicDistanceMonitor(print_distance)
#monitor.start(0.2)
| 26.970588 | 78 | 0.605234 | #!/usr/bin/python
import RPi.GPIO as GPIO
import time
class MotionDetector() :
_input_pin = 11
_is_running = False
_on_motion_detected = None
def __init__(self, callback, input_pin=11) :
"""
Initializes a new instance of the SonicDistance class
tigger is the GPIO pin connecte... | 54 | 1,633 | 23 |
d7fa59b9d3ca261fe2244e4fe4242ca509271090 | 682 | py | Python | kfusiontables/kft/sync.py | kula1922/kfusiontables | 149ddaddb95319a237bb94525db17b1b3a5ac66f | [
"BSD-3-Clause"
] | 4 | 2016-04-10T10:27:36.000Z | 2018-10-12T13:45:25.000Z | kfusiontables/kft/sync.py | kula1922/kfusiontables | 149ddaddb95319a237bb94525db17b1b3a5ac66f | [
"BSD-3-Clause"
] | 2 | 2020-06-05T17:30:32.000Z | 2021-06-01T21:52:49.000Z | kfusiontables/kft/sync.py | kula1922/kfusiontables | 149ddaddb95319a237bb94525db17b1b3a5ac66f | [
"BSD-3-Clause"
] | null | null | null | import logging
from kfusiontables.kft import KFusionTables
logger = logging.getLogger(__name__)
| 27.28 | 73 | 0.617302 | import logging
from kfusiontables.kft import KFusionTables
logger = logging.getLogger(__name__)
class KFusionTablesSync(KFusionTables):
def sync_tables(self, table_name=None, table_names=None, sender=None,
senders=None, _all=None, force=None):
"""
Synchronize local tables to... | 0 | 559 | 23 |
92f7c60c2ca087b46a3cac5a9312bc2c42f94484 | 11,399 | py | Python | pyqode/core/_forms/search_panel_ui.py | haesleinhuepf/pyqode.core | 88b9bab081fd580d4de86f3d926a9f0b19146d28 | [
"MIT"
] | null | null | null | pyqode/core/_forms/search_panel_ui.py | haesleinhuepf/pyqode.core | 88b9bab081fd580d4de86f3d926a9f0b19146d28 | [
"MIT"
] | null | null | null | pyqode/core/_forms/search_panel_ui.py | haesleinhuepf/pyqode.core | 88b9bab081fd580d4de86f3d926a9f0b19146d28 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '/home/colin/dev/pyQode/pyqode.core/forms/search_panel.ui'
#
# Created by: PyQt5 UI code generator 5.5.1
#
# WARNING! All changes made in this file will be lost!
from qtpy import QtCore, QtGui, QtWidgets
from pyqode.core.widgets import Prom... | 58.45641 | 115 | 0.737258 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '/home/colin/dev/pyQode/pyqode.core/forms/search_panel.ui'
#
# Created by: PyQt5 UI code generator 5.5.1
#
# WARNING! All changes made in this file will be lost!
from qtpy import QtCore, QtGui, QtWidgets
class Ui_SearchPanel(object):
de... | 10,956 | 8 | 76 |
b59b2caf90924f8b1f174e18235105b36f87f29b | 4,614 | py | Python | main.py | kodo-pp/hse-ws10 | 9dbad128d2cbaa65a7d7ae4418f3a03736df0211 | [
"Apache-2.0"
] | null | null | null | main.py | kodo-pp/hse-ws10 | 9dbad128d2cbaa65a7d7ae4418f3a03736df0211 | [
"Apache-2.0"
] | null | null | null | main.py | kodo-pp/hse-ws10 | 9dbad128d2cbaa65a7d7ae4418f3a03736df0211 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import json
import re
import sys
import time
from argparse import ArgumentParser
from queue import Queue
import requests as rq
from bs4 import BeautifulSoup
from loguru import logger
if __name__ == '__main__':
main()
| 26.982456 | 108 | 0.596012 | #!/usr/bin/env python
import json
import re
import sys
import time
from argparse import ArgumentParser
from queue import Queue
import requests as rq
from bs4 import BeautifulSoup
from loguru import logger
def parse_arguments():
ap = ArgumentParser(
description = 'Download an HTML page, find HTTPS links ... | 4,103 | 0 | 253 |
2732bd4889b921a247d93555b57cc7fd26b0b357 | 24,762 | py | Python | load_data.py | vincekurtz/gracenet | 787ed3c559cd540bbbb53380d5b21879857fe254 | [
"MIT"
] | null | null | null | load_data.py | vincekurtz/gracenet | 787ed3c559cd540bbbb53380d5b21879857fe254 | [
"MIT"
] | null | null | null | load_data.py | vincekurtz/gracenet | 787ed3c559cd540bbbb53380d5b21879857fe254 | [
"MIT"
] | 1 | 2018-09-19T06:43:19.000Z | 2018-09-19T06:43:19.000Z | #!/usr/bin/env python3
##
#
# GraceNET v0.0
#
# Predict future anomolies based soley on the past 24 months of
# GRACE anomolies. This file generates training and testing data
# saving both to json files
#
##
import random
import csv
import glob
import json
import datetime
import numpy as np
import matplotlib.pyplot ... | 32.368627 | 125 | 0.593288 | #!/usr/bin/env python3
##
#
# GraceNET v0.0
#
# Predict future anomolies based soley on the past 24 months of
# GRACE anomolies. This file generates training and testing data
# saving both to json files
#
##
import random
import csv
import glob
import json
import datetime
import numpy as np
import matplotlib.pyplot ... | 2,895 | 0 | 228 |
8b51079e178a0d8d86e85b0424d64cfac8f46bb3 | 1,414 | py | Python | template/config/train.py | penguinmenac3/deeptech-template | 63df98f9ff69ab0dbbb0e38287810928c4173b11 | [
"MIT"
] | null | null | null | template/config/train.py | penguinmenac3/deeptech-template | 63df98f9ff69ab0dbbb0e38287810928c4173b11 | [
"MIT"
] | null | null | null | template/config/train.py | penguinmenac3/deeptech-template | 63df98f9ff69ab0dbbb0e38287810928c4173b11 | [
"MIT"
] | null | null | null | """doc
# Train Config
This is the main configuration file used for training the approach.
"""
import os
from deeptech.core import Config, cli
from deeptech.model.module_from_json import Module
from deeptech.training.trainers import SupervisedTrainer
from deeptech.training.optimizers import smart_optimizer
from torch.o... | 36.25641 | 113 | 0.755304 | """doc
# Train Config
This is the main configuration file used for training the approach.
"""
import os
from deeptech.core import Config, cli
from deeptech.model.module_from_json import Module
from deeptech.training.trainers import SupervisedTrainer
from deeptech.training.optimizers import smart_optimizer
from torch.o... | 709 | 12 | 49 |
0d6c2a22e6d4c282df65ea5887d039eeeed9275c | 12,871 | py | Python | .tox/scenario/lib/python2.7/site-packages/psutil/_psbsd.py | bdrich/neutron-lbaas | b4711abfe0207c4fdd5d7fb7ecbf017e753abbfd | [
"Apache-2.0"
] | null | null | null | .tox/scenario/lib/python2.7/site-packages/psutil/_psbsd.py | bdrich/neutron-lbaas | b4711abfe0207c4fdd5d7fb7ecbf017e753abbfd | [
"Apache-2.0"
] | null | null | null | .tox/scenario/lib/python2.7/site-packages/psutil/_psbsd.py | bdrich/neutron-lbaas | b4711abfe0207c4fdd5d7fb7ecbf017e753abbfd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2009, Giampaolo Rodola'. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""FreeBSD platform implementation."""
import errno
import os
import sys
import warnings
import _psutil_bsd
import _psutil_posix
... | 34.050265 | 80 | 0.681688 | #!/usr/bin/env python
# Copyright (c) 2009, Giampaolo Rodola'. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""FreeBSD platform implementation."""
import errno
import os
import sys
import warnings
import _psutil_bsd
import _psutil_posix
... | 2,660 | 0 | 389 |
ff394a1171c293e681f64072878f8148762d365e | 2,100 | py | Python | tap_linkedin_marketing/executor.py | Radico/tap-linkedin-marketing | 4ccd48bfdfa109955d4eb1c9ae5d81ff0c1f40bb | [
"Apache-2.0"
] | null | null | null | tap_linkedin_marketing/executor.py | Radico/tap-linkedin-marketing | 4ccd48bfdfa109955d4eb1c9ae5d81ff0c1f40bb | [
"Apache-2.0"
] | null | null | null | tap_linkedin_marketing/executor.py | Radico/tap-linkedin-marketing | 4ccd48bfdfa109955d4eb1c9ae5d81ff0c1f40bb | [
"Apache-2.0"
] | 1 | 2020-10-08T16:49:59.000Z | 2020-10-08T16:49:59.000Z | import singer
from tap_kit import TapExecutor
from tap_kit.utils import (transform_write_and_count)
LOGGER = singer.get_logger()
| 27.272727 | 71 | 0.543333 | import singer
from tap_kit import TapExecutor
from tap_kit.utils import (transform_write_and_count)
LOGGER = singer.get_logger()
class LinkedInExecutor(TapExecutor):
def __init__(self, streams, args, client):
"""
Args:
streams (arr[Stream])
args (dict)
client... | 660 | 1,285 | 23 |
3c5b2df441b90277fa6a7b32261e00006b20d450 | 566 | py | Python | products/migrations/0009_auto_20200310_1903.py | JayPeaa/msproject5 | 89ee3e52cbefc686104389f91770581b88349020 | [
"MIT"
] | null | null | null | products/migrations/0009_auto_20200310_1903.py | JayPeaa/msproject5 | 89ee3e52cbefc686104389f91770581b88349020 | [
"MIT"
] | 12 | 2020-02-12T02:53:42.000Z | 2022-03-12T00:17:00.000Z | products/migrations/0009_auto_20200310_1903.py | JayPeaa/msproject5 | 89ee3e52cbefc686104389f91770581b88349020 | [
"MIT"
] | 1 | 2020-04-11T12:31:12.000Z | 2020-04-11T12:31:12.000Z | # Generated by Django 2.1.14 on 2020-03-10 19:03
from django.db import migrations, models
| 23.583333 | 70 | 0.591873 | # Generated by Django 2.1.14 on 2020-03-10 19:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('products', '0008_auto_20200307_1352'),
]
operations = [
migrations.RemoveField(
model_name='product',
name='product... | 0 | 451 | 23 |
73a63e4efac203c167f98bcd9a2ff16d6821760c | 4,158 | py | Python | core/src/models.py | fall2021-csc510-group40/filmfan | da42fdcc713f2b22debc1da9a09dc7a82aa5b66b | [
"MIT"
] | 1 | 2021-09-20T00:34:27.000Z | 2021-09-20T00:34:27.000Z | core/src/models.py | fall2021-csc510-group40/filmfan | da42fdcc713f2b22debc1da9a09dc7a82aa5b66b | [
"MIT"
] | 36 | 2021-10-29T19:02:23.000Z | 2021-11-16T03:06:01.000Z | core/src/models.py | pncnmnp/SE21-project | da42fdcc713f2b22debc1da9a09dc7a82aa5b66b | [
"MIT"
] | 1 | 2022-02-25T03:07:26.000Z | 2022-02-25T03:07:26.000Z | """
This package defines database models and relations used
"""
from . import db
from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
class MovieHandle(db.Model):
"""
MovieHandle class provides a representation of a movie id for the database
"""
i... | 31.740458 | 106 | 0.61544 | """
This package defines database models and relations used
"""
from . import db
from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
class MovieHandle(db.Model):
"""
MovieHandle class provides a representation of a movie id for the database
"""
i... | 47 | 0 | 27 |
282aaaeff385e415d0b0f70d80c9a913e92b0bfc | 3,092 | py | Python | python/itertools_combinations_2.py | Hamng/python-sources | 0cc5a5d9e576440d95f496edcfd921ae37fcd05a | [
"Unlicense"
] | null | null | null | python/itertools_combinations_2.py | Hamng/python-sources | 0cc5a5d9e576440d95f496edcfd921ae37fcd05a | [
"Unlicense"
] | 1 | 2019-02-23T18:30:51.000Z | 2019-02-23T18:30:51.000Z | python/itertools_combinations_2.py | Hamng/python-sources | 0cc5a5d9e576440d95f496edcfd921ae37fcd05a | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 5 00:39:20 2019
@author: Ham
HackerRanch Challenge: Iterable and Iterators
The itertools module standardizes a core set of fast, memory efficient tools
that are useful by themselves or in combination.
Together, they form an iterator algebra making it possible... | 29.730769 | 95 | 0.651682 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 5 00:39:20 2019
@author: Ham
HackerRanch Challenge: Iterable and Iterators
The itertools module standardizes a core set of fast, memory efficient tools
that are useful by themselves or in combination.
Together, they form an iterator algebra making it possible... | 0 | 0 | 0 |
1249771607a589243d9d0012abde96e177516f07 | 236 | py | Python | setup.py | pallogu/numerai | 6f5d6b31e86d27030b041f8591e0122894128e59 | [
"FTL"
] | null | null | null | setup.py | pallogu/numerai | 6f5d6b31e86d27030b041f8591e0122894128e59 | [
"FTL"
] | null | null | null | setup.py | pallogu/numerai | 6f5d6b31e86d27030b041f8591e0122894128e59 | [
"FTL"
] | null | null | null | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='Fun project to explore numer.ai modelling of market trends',
author='Arvpau',
license='',
)
| 21.454545 | 77 | 0.677966 | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='Fun project to explore numer.ai modelling of market trends',
author='Arvpau',
license='',
)
| 0 | 0 | 0 |
54db4693e1cf294e42ce5591b68d9cdb70403b91 | 4,356 | py | Python | OCR.py | Sunil7545/OCRProjectTeamTwo | 6124b0440421acfd28524988171d0061507d53dd | [
"MIT"
] | null | null | null | OCR.py | Sunil7545/OCRProjectTeamTwo | 6124b0440421acfd28524988171d0061507d53dd | [
"MIT"
] | 2 | 2022-01-13T02:02:43.000Z | 2022-03-12T00:11:03.000Z | OCR.py | Sunil7545/OCRProjectTeamTwo | 6124b0440421acfd28524988171d0061507d53dd | [
"MIT"
] | 2 | 2019-12-27T19:07:27.000Z | 2020-01-17T15:06:13.000Z | '''
This program will convert PDFs into images and read text from those images
and print the text over the screen.
This can also extract text directly from images and print it out.
'''
import os
# try is used to keep a check over the import. If there is an error, it will not close
# the program, but instead execute th... | 36.3 | 96 | 0.665289 | '''
This program will convert PDFs into images and read text from those images
and print the text over the screen.
This can also extract text directly from images and print it out.
'''
import os
# try is used to keep a check over the import. If there is an error, it will not close
# the program, but instead execute th... | 0 | 0 | 0 |
61a82ac910dabe7ebb8ace667d6eced2cc315462 | 1,671 | py | Python | tests/ros_comm/test_asserts.py | ros-testing/rospbt | db708ba9c326920b222ef5662b0326db9397d718 | [
"Apache-2.0"
] | null | null | null | tests/ros_comm/test_asserts.py | ros-testing/rospbt | db708ba9c326920b222ef5662b0326db9397d718 | [
"Apache-2.0"
] | 11 | 2018-05-11T15:37:20.000Z | 2018-07-30T19:10:47.000Z | tests/ros_comm/test_asserts.py | ros-testing/rospbt | db708ba9c326920b222ef5662b0326db9397d718 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import pytest
from rostestplus.ros_comm.asserts import (
AssertException,
assert_node_pingable,
assert_node_listed,
assert_node_listed_on_machine,
assert_service_response_success_true,
)
| 25.707692 | 86 | 0.775583 | # -*- coding: utf-8 -*-
import pytest
from rostestplus.ros_comm.asserts import (
AssertException,
assert_node_pingable,
assert_node_listed,
assert_node_listed_on_machine,
assert_service_response_success_true,
)
def test_assert_node_pingable_doesnt_raise_exception_for_existing_node():
fake_st... | 1,286 | 0 | 138 |
3f63d509b9f70233de4928b087d43a1d0bf024cc | 3,229 | py | Python | model-optimizer/mo/ops/pad_test.py | JOCh1958/openvino | 070201feeec5550b7cf8ec5a0ffd72dc879750be | [
"Apache-2.0"
] | 1 | 2021-04-06T03:32:12.000Z | 2021-04-06T03:32:12.000Z | model-optimizer/mo/ops/pad_test.py | JOCh1958/openvino | 070201feeec5550b7cf8ec5a0ffd72dc879750be | [
"Apache-2.0"
] | 28 | 2021-09-24T09:29:02.000Z | 2022-03-28T13:20:46.000Z | model-optimizer/mo/ops/pad_test.py | JOCh1958/openvino | 070201feeec5550b7cf8ec5a0ffd72dc879750be | [
"Apache-2.0"
] | 1 | 2020-08-30T11:48:03.000Z | 2020-08-30T11:48:03.000Z | # Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import unittest
import numpy as np
from mo.graph.graph import Node
from mo.ops.pad import Pad, AttributedPad
from mo.utils.unittest.graph import build_graph
| 33.635417 | 120 | 0.539486 | # Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import unittest
import numpy as np
from mo.graph.graph import Node
from mo.ops.pad import Pad, AttributedPad
from mo.utils.unittest.graph import build_graph
class TestPadOps(unittest.TestCase):
node_attrs = {
'data_in': {... | 2,058 | 905 | 23 |
b3fa2afde1dc0c13806286ecc1f5bd2388803a59 | 11,997 | py | Python | tensorflow/script/network_hrnet.py | christinazavou/ANNFASS_Structure | f7b6d3e44d2466ed15009a3335e757def62adfa6 | [
"MIT"
] | null | null | null | tensorflow/script/network_hrnet.py | christinazavou/ANNFASS_Structure | f7b6d3e44d2466ed15009a3335e757def62adfa6 | [
"MIT"
] | null | null | null | tensorflow/script/network_hrnet.py | christinazavou/ANNFASS_Structure | f7b6d3e44d2466ed15009a3335e757def62adfa6 | [
"MIT"
] | null | null | null | from ocnn import *
| 46.863281 | 120 | 0.581895 | from ocnn import *
class OctreeUpsample:
def __init__(self, upsample='nearest'):
self.upsample = upsample
def __call__(self, data, octree, d, mask=None):
if self.upsample == 'nearest':
data = octree_tile(data, octree, d)
else:
data = octree_bilinear(data, octre... | 11,527 | -9 | 452 |
cf2a2de27769f700c32eae12f1013f8529c4d8cf | 835 | py | Python | backend/wod_board/models/__init__.py | GuillaumeOj/P13-WOD-Board | 36df7979e63c354507edb56eabdfc548b1964d08 | [
"MIT"
] | null | null | null | backend/wod_board/models/__init__.py | GuillaumeOj/P13-WOD-Board | 36df7979e63c354507edb56eabdfc548b1964d08 | [
"MIT"
] | 82 | 2021-01-17T18:12:23.000Z | 2021-06-12T21:46:49.000Z | backend/wod_board/models/__init__.py | GuillaumeOj/WodBoard | 1ac12404f6094909c9bf116bcaf6ccd60e85bc00 | [
"MIT"
] | null | null | null | import sqlalchemy
import sqlalchemy.orm
from wod_board import config
Base = sqlalchemy.orm.declarative_base()
engine = sqlalchemy.create_engine(config.DATABASE_URL)
Session = sqlalchemy.orm.sessionmaker(bind=engine, class_=sqlalchemy.orm.Session)
# Import each model fo Alembic
from wod_board.models.equipment im... | 21.973684 | 81 | 0.732934 | import sqlalchemy
import sqlalchemy.orm
from wod_board import config
Base = sqlalchemy.orm.declarative_base()
engine = sqlalchemy.create_engine(config.DATABASE_URL)
Session = sqlalchemy.orm.sessionmaker(bind=engine, class_=sqlalchemy.orm.Session)
def get_db():
db = Session()
try:
yield db
fin... | 157 | 0 | 69 |
99e693da437969ae877a9c639beb2e1c016d3c3c | 1,727 | py | Python | qatrack/parts/migrations/0014_auto_20201230_0955.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 20 | 2021-03-11T18:37:32.000Z | 2022-03-23T19:38:07.000Z | qatrack/parts/migrations/0014_auto_20201230_0955.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 75 | 2021-02-12T02:37:33.000Z | 2022-03-29T20:56:16.000Z | qatrack/parts/migrations/0014_auto_20201230_0955.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 5 | 2021-04-07T15:46:53.000Z | 2021-09-18T16:55:00.000Z | # Generated by Django 2.1.15 on 2020-12-30 14:55
import os
from django.conf import settings
from django.db import migrations
from django.db.migrations.recorder import MigrationRecorder
| 31.4 | 107 | 0.659525 | # Generated by Django 2.1.15 on 2020-12-30 14:55
import os
from django.conf import settings
from django.db import migrations
from django.db.migrations.recorder import MigrationRecorder
def alter_unique(apps, schema):
from django.db import connection, transaction
cursor = connection.cursor()
cursor.execu... | 1,035 | 457 | 46 |
00d47b939f359f3dcf59c98e277e76e10ecbf25e | 5,108 | py | Python | app/main.py | prav10194/automated-twitter-reddit-app | 7c44dbb998d4124589e7c8d74fa0b6e09c2aea40 | [
"MIT"
] | null | null | null | app/main.py | prav10194/automated-twitter-reddit-app | 7c44dbb998d4124589e7c8d74fa0b6e09c2aea40 | [
"MIT"
] | null | null | null | app/main.py | prav10194/automated-twitter-reddit-app | 7c44dbb998d4124589e7c8d74fa0b6e09c2aea40 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from flask import Flask, render_template, request
from flask_cors import CORS, cross_origin
import requests
import dropbox
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'
import praw
import requests
import youtube_dl
import random
import time... | 45.607143 | 166 | 0.57224 | from __future__ import unicode_literals
from flask import Flask, render_template, request
from flask_cors import CORS, cross_origin
import requests
import dropbox
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'
import praw
import requests
import youtube_dl
import random
import time... | 4,112 | 0 | 44 |
072864afc42d7a2bd9cbf5cb71e2e0a705e39792 | 3,651 | py | Python | dgaintel/predict.py | ffontaine/dgaintel | 6b2ed1023c73fd3449571380eca34e17f919114b | [
"MIT"
] | null | null | null | dgaintel/predict.py | ffontaine/dgaintel | 6b2ed1023c73fd3449571380eca34e17f919114b | [
"MIT"
] | null | null | null | dgaintel/predict.py | ffontaine/dgaintel | 6b2ed1023c73fd3449571380eca34e17f919114b | [
"MIT"
] | null | null | null | '''
Main prediction module for dgaintel package
'''
import os
import numpy as np
from tensorflow.keras.models import load_model
DIR_PATH = os.path.dirname(os.path.abspath(__file__))
SAVED_MODEL_PATH = os.path.join(DIR_PATH, 'domain_classifier_model.h5')
MODEL = load_model(SAVED_MODEL_PATH)
CHAR2IDX = {'-': 0, '.': 1,... | 30.680672 | 83 | 0.575185 | '''
Main prediction module for dgaintel package
'''
import os
import numpy as np
from tensorflow.keras.models import load_model
DIR_PATH = os.path.dirname(os.path.abspath(__file__))
SAVED_MODEL_PATH = os.path.join(DIR_PATH, 'domain_classifier_model.h5')
MODEL = load_model(SAVED_MODEL_PATH)
CHAR2IDX = {'-': 0, '.': 1,... | 689 | 0 | 46 |
4521ed0e587cc3e49439300b7abac40ba3de6383 | 17,394 | py | Python | python/deepLearningPlotter.py | cms-ttbarAC/CyMiniAna | 405b1ac6639f8a93297e847180b5a6ab58f9a06c | [
"MIT"
] | null | null | null | python/deepLearningPlotter.py | cms-ttbarAC/CyMiniAna | 405b1ac6639f8a93297e847180b5a6ab58f9a06c | [
"MIT"
] | 31 | 2017-10-26T16:11:32.000Z | 2018-08-13T14:39:56.000Z | python/deepLearningPlotter.py | cms-ttbarAC/cheetah | 76457d3cb3936dac5c78957b66b3b8aa213ca2b7 | [
"MIT"
] | 1 | 2018-07-24T20:32:35.000Z | 2018-07-24T20:32:35.000Z | """
Created: 11 November 2016
Last Updated: 16 February 2018
Dan Marley
daniel.edison.marley@cernSPAMNOT.ch
Texas A&M University
-----
Base class for plotting deep learning
Designed for running on desktop at TAMU
with specific set of software installed
--> not guaranteed to work in CMSSW environment!
Doe... | 39.531818 | 144 | 0.593825 | """
Created: 11 November 2016
Last Updated: 16 February 2018
Dan Marley
daniel.edison.marley@cernSPAMNOT.ch
Texas A&M University
-----
Base class for plotting deep learning
Designed for running on desktop at TAMU
with specific set of software installed
--> not guaranteed to work in CMSSW environment!
Doe... | 249 | 0 | 26 |
834408ee97e14fc2967196b73b32178bcfe126ec | 5,078 | py | Python | parametric_problems/lasso.py | BerkeleyAutomation/rlqp_benchmarks | 5c79e870c4bd697383f66f5dff26aea29dc1ebfa | [
"Apache-2.0"
] | 49 | 2017-11-18T11:16:44.000Z | 2021-05-05T12:48:33.000Z | parametric_problems/lasso.py | leiyubiao/osqp_benchmarks | 5c79e870c4bd697383f66f5dff26aea29dc1ebfa | [
"Apache-2.0"
] | 5 | 2017-11-18T20:10:25.000Z | 2020-09-27T09:06:58.000Z | parametric_problems/lasso.py | leiyubiao/osqp_benchmarks | 5c79e870c4bd697383f66f5dff26aea29dc1ebfa | [
"Apache-2.0"
] | 19 | 2017-11-18T20:13:31.000Z | 2021-05-06T01:27:31.000Z | """
Solve Lasso problem as parametric QP by updating iteratively lambda
"""
import numpy as np
import pandas as pd
import os
from solvers.solvers import SOLVER_MAP # AVOID CIRCULAR DEPENDENCY
from problem_classes.lasso import LassoExample
from utils.general import make_sure_path_exists
# import osqppurepy as osqp
impo... | 32.343949 | 83 | 0.521268 | """
Solve Lasso problem as parametric QP by updating iteratively lambda
"""
import numpy as np
import pandas as pd
import os
from solvers.solvers import SOLVER_MAP # AVOID CIRCULAR DEPENDENCY
from problem_classes.lasso import LassoExample
from utils.general import make_sure_path_exists
# import osqppurepy as osqp
impo... | 0 | 4,726 | 23 |
e1bd1d8d7ce5622633bf24fc68ec450788976faa | 74,865 | py | Python | src/datalad_installer.py | datalad/datalad-installer | 93a4c7a032aef42af59fc889e61d9e4c78f0f1bb | [
"MIT"
] | 2 | 2021-07-06T11:51:44.000Z | 2022-03-01T08:03:01.000Z | src/datalad_installer.py | datalad/datalad-installer | 93a4c7a032aef42af59fc889e61d9e4c78f0f1bb | [
"MIT"
] | 88 | 2020-12-15T16:12:58.000Z | 2022-03-25T20:48:31.000Z | src/datalad_installer.py | datalad/datalad-installer | 93a4c7a032aef42af59fc889e61d9e4c78f0f1bb | [
"MIT"
] | 2 | 2020-12-24T03:03:29.000Z | 2022-01-06T01:28:36.000Z | #!/usr/bin/env python3
"""
Installation script for Datalad and related components
``datalad-installer`` is a script for installing Datalad_, git-annex_, and
related components all in a single invocation. It requires no third-party
Python libraries, though it does make heavy use of external packaging commands.
.. _Da... | 34.263158 | 96 | 0.562773 | #!/usr/bin/env python3
"""
Installation script for Datalad and related components
``datalad-installer`` is a script for installing Datalad_, git-annex_, and
related components all in a single invocation. It requires no third-party
Python libraries, though it does make heavy use of external packaging commands.
.. _Da... | 39,771 | 5,767 | 1,471 |
0ad7f61aed9b153afd213f5a01cf465a50844018 | 9,205 | py | Python | moabb/paradigms/ssvep.py | plcrodrigues/moabb | aa4274fe7905631864e854c121c92e1927061f29 | [
"BSD-3-Clause"
] | 321 | 2017-06-03T16:14:45.000Z | 2022-03-28T17:43:59.000Z | moabb/paradigms/ssvep.py | plcrodrigues/moabb | aa4274fe7905631864e854c121c92e1927061f29 | [
"BSD-3-Clause"
] | 223 | 2017-06-03T17:41:57.000Z | 2022-03-29T09:07:44.000Z | moabb/paradigms/ssvep.py | girafe-ai/moabb | 78bbb48a2a0058b0725ebeba1ba1e3203f0eacd5 | [
"BSD-3-Clause"
] | 118 | 2017-06-03T18:36:35.000Z | 2022-03-16T06:22:02.000Z | """Steady-State Visually Evoked Potentials Paradigms"""
import logging
from moabb.datasets import utils
from moabb.datasets.fake import FakeDataset
from moabb.paradigms.base import BaseParadigm
log = logging.getLogger(__name__)
class BaseSSVEP(BaseParadigm):
"""Base SSVEP Paradigm
Parameters
--------... | 34.475655 | 86 | 0.610864 | """Steady-State Visually Evoked Potentials Paradigms"""
import logging
from moabb.datasets import utils
from moabb.datasets.fake import FakeDataset
from moabb.paradigms.base import BaseParadigm
log = logging.getLogger(__name__)
class BaseSSVEP(BaseParadigm):
"""Base SSVEP Paradigm
Parameters
--------... | 3,019 | 0 | 240 |
3bce5d801f2b7e46030a48b54ef5fc9e31dec0f2 | 394 | py | Python | .ipython/profile_default/startup/startup_file.py | mmphego/dot-files | 0563646cd9e9d627c08c710000afcc038a55fa2c | [
"MIT"
] | 29 | 2019-03-03T17:54:46.000Z | 2021-12-05T00:06:30.000Z | .ipython/profile_default/startup/startup_file.py | deltakapa/dot-files | bb43088d2bcea15e892dfa45bff934b8e7399e17 | [
"MIT"
] | 1 | 2019-03-04T05:41:14.000Z | 2019-03-04T05:41:14.000Z | .ipython/profile_default/startup/startup_file.py | deltakapa/dot-files | bb43088d2bcea15e892dfa45bff934b8e7399e17 | [
"MIT"
] | 6 | 2019-03-03T17:50:34.000Z | 2021-01-18T13:12:45.000Z | import os
import subprocess
import sys
import time
modulenames = ", ".join(list(set(sys.modules) & set(globals())))
msg = "---> Automagically imported these packages (if available): {}".format(modulenames)
formatted_msg = Style.LINE + Style.BOLD + Style.RED + msg + Style.END
print(formatted_msg)
| 21.888889 | 89 | 0.659898 | import os
import subprocess
import sys
import time
class Style:
BOLD = "\033[1m"
END = "\033[0m\n"
RED = "\033[91m"
LINE = "\n"
modulenames = ", ".join(list(set(sys.modules) & set(globals())))
msg = "---> Automagically imported these packages (if available): {}".format(modulenames)
formatted_msg = S... | 0 | 71 | 23 |
3bdcdb5f7e2a731cc8ba3d1d150a2d7eaeb46753 | 1,602 | py | Python | tests/test_parser_helpers.py | zagaran/instant-census | 62dd5bbc62939f43776a10708ef663722ead98af | [
"MIT"
] | 1 | 2021-06-01T17:03:47.000Z | 2021-06-01T17:03:47.000Z | tests/test_parser_helpers.py | zagaran/instant-census | 62dd5bbc62939f43776a10708ef663722ead98af | [
"MIT"
] | null | null | null | tests/test_parser_helpers.py | zagaran/instant-census | 62dd5bbc62939f43776a10708ef663722ead98af | [
"MIT"
] | null | null | null | from tests.common import InstantCensusTestCase
from utils.parser_helpers import split_standard_separators
# from parsers.number_parser import text2int
from string import whitespace as WHITESPACE_CHARS
# text2int_tests = {
# "twenty-two" : 22,
# "ninety seven" : 97,
# "one hundred thirty seven" : 137,
# ... | 31.411765 | 86 | 0.519975 | from tests.common import InstantCensusTestCase
from utils.parser_helpers import split_standard_separators
# from parsers.number_parser import text2int
from string import whitespace as WHITESPACE_CHARS
class TestParserHelpers(InstantCensusTestCase):
SPLIT_STRING_TESTS = {
#simple splitting cases
'a... | 264 | 523 | 23 |
1f48ee108a1a017bfe9393336c3a466100542c05 | 206 | py | Python | millisecond1/millisecond1_1.py | Walop/AdventOfCode2017 | 32786e46d8fdfb5c824b72403cbc1a8858bac2bb | [
"MIT"
] | null | null | null | millisecond1/millisecond1_1.py | Walop/AdventOfCode2017 | 32786e46d8fdfb5c824b72403cbc1a8858bac2bb | [
"MIT"
] | null | null | null | millisecond1/millisecond1_1.py | Walop/AdventOfCode2017 | 32786e46d8fdfb5c824b72403cbc1a8858bac2bb | [
"MIT"
] | null | null | null | with open("input", "r") as file:
input = file.read()
nums = list(input)
sum = 0
for i in range(0, len(nums)):
if nums[i] == nums[i-1]:
sum += int(nums[i])
print(sum)
| 22.888889 | 33 | 0.490291 | with open("input", "r") as file:
input = file.read()
nums = list(input)
sum = 0
for i in range(0, len(nums)):
if nums[i] == nums[i-1]:
sum += int(nums[i])
print(sum)
| 0 | 0 | 0 |
a6b98cf550cbc9c04e82fd726c98a3cd54cc8498 | 15,173 | py | Python | framework-nucleus-segmentation/mrcnn/samples/cell/cell.py | CBIIT/nci-hitif | 2f825cbcba92ff2fdffac60de56604578f31e937 | [
"MIT"
] | null | null | null | framework-nucleus-segmentation/mrcnn/samples/cell/cell.py | CBIIT/nci-hitif | 2f825cbcba92ff2fdffac60de56604578f31e937 | [
"MIT"
] | 8 | 2020-04-13T18:52:30.000Z | 2022-02-10T01:18:21.000Z | mrcnn/samples/cell/cell.py | usnistgov/WIPP-fpn-inference-plugin | a3356305dcf2f3196833690c56f6bf5599de3d08 | [
"MIT"
] | 3 | 2018-07-10T15:19:54.000Z | 2021-02-16T17:10:01.000Z | import tensorflow as tf
tf_version = int((tf.__version__).split('.')[0])
if tf_version >= 2:
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import os
import sys
import random
import numpy as np
import cv2
import skimage.io
import warnings; warnings.simplefilter('ignore')
import time
import h5py
# ... | 33.056645 | 173 | 0.598827 | import tensorflow as tf
tf_version = int((tf.__version__).split('.')[0])
if tf_version >= 2:
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import os
import sys
import random
import numpy as np
import cv2
import skimage.io
import warnings; warnings.simplefilter('ignore')
import time
import h5py
# ... | 0 | 1,136 | 23 |
2025037e1bf63d94579a9569795dc83706d80bac | 2,749 | py | Python | examples/adafruit_io_simpletest_esp_at.py | willingc/Adafruit_CircuitPython_AdafruitIO | 9f47ce31564f952072b804a162d738d1c872aa28 | [
"MIT"
] | null | null | null | examples/adafruit_io_simpletest_esp_at.py | willingc/Adafruit_CircuitPython_AdafruitIO | 9f47ce31564f952072b804a162d738d1c872aa28 | [
"MIT"
] | null | null | null | examples/adafruit_io_simpletest_esp_at.py | willingc/Adafruit_CircuitPython_AdafruitIO | 9f47ce31564f952072b804a162d738d1c872aa28 | [
"MIT"
] | null | null | null | """
Usage example of the ESP32 over UART
using the CircuitPython ESP_ATControl library.
Dependencies:
* https://github.com/adafruit/Adafruit_CircuitPython_ESP_ATcontrol
"""
from random import randint
import board
import busio
from digitalio import DigitalInOut
# Import Adafruit IO REST Client
from adafruit_io.ada... | 32.341176 | 95 | 0.772645 | """
Usage example of the ESP32 over UART
using the CircuitPython ESP_ATControl library.
Dependencies:
* https://github.com/adafruit/Adafruit_CircuitPython_ESP_ATcontrol
"""
from random import randint
import board
import busio
from digitalio import DigitalInOut
# Import Adafruit IO REST Client
from adafruit_io.ada... | 0 | 0 | 0 |
d9548f1abcc0c877d3c68c744296db8df25eecf0 | 2,925 | py | Python | toil/src/toil_marginphase/scripts/split_bam_by_coordinate.py | sachet-mittal/marginPhase | afe6c69825c5c51f02131b9f675a7d2c2d2c164e | [
"MIT"
] | 34 | 2017-08-07T00:24:11.000Z | 2021-11-19T04:34:44.000Z | toil/src/toil_marginphase/scripts/split_bam_by_coordinate.py | sachet-mittal/marginPhase | afe6c69825c5c51f02131b9f675a7d2c2d2c164e | [
"MIT"
] | 12 | 2018-04-16T06:34:53.000Z | 2022-03-04T03:40:48.000Z | toil/src/toil_marginphase/scripts/split_bam_by_coordinate.py | sachet-mittal/marginPhase | afe6c69825c5c51f02131b9f675a7d2c2d2c164e | [
"MIT"
] | 10 | 2017-02-18T03:48:23.000Z | 2020-01-07T00:57:21.000Z | #!/usr/bin/env python
from __future__ import print_function
import argparse
import glob
import os
import subprocess
import sys
CHR = "c"
START = "s"
END = "e"
DESC = "d"
if __name__ == "__main__":
main() | 37.5 | 128 | 0.6 | #!/usr/bin/env python
from __future__ import print_function
import argparse
import glob
import os
import subprocess
import sys
CHR = "c"
START = "s"
END = "e"
DESC = "d"
def parse_args():
parser = argparse.ArgumentParser("Split BAM by region")
parser.add_argument('--input_bam_glob', '-i', dest='input_bam_gl... | 2,638 | 0 | 69 |
06d1b0decc735be6856a071f3dfe2d0445118634 | 2,520 | py | Python | select.py | rmccartney856/marvelMovieSelector | 8adaef2ce1ed2c83c840f36ff74312b4322d3cec | [
"MIT"
] | 2 | 2019-03-31T23:00:31.000Z | 2019-03-31T23:00:34.000Z | select.py | rmccartney856/marvelMovieSelector | 8adaef2ce1ed2c83c840f36ff74312b4322d3cec | [
"MIT"
] | null | null | null | select.py | rmccartney856/marvelMovieSelector | 8adaef2ce1ed2c83c840f36ff74312b4322d3cec | [
"MIT"
] | null | null | null | #NAME: select.py
#DATE: 31/03/2019
import json
import time
import random
import tkinter as tk
from PIL import Image, ImageTk
coverPath = "noimage.png"
root = tk.Tk()
root.title("Marvel Movie Generator")
root.configure(background='black')
#size of the window
root.geometry("450x880")
frame = tk.Frame(root)
frame.pac... | 30.361446 | 128 | 0.702381 | #NAME: select.py
#DATE: 31/03/2019
import json
import time
import random
import tkinter as tk
from PIL import Image, ImageTk
coverPath = "noimage.png"
def generate():
#Open Movie File
marvelMovies = open('movies.json').read()
marvel = json.loads(marvelMovies)
#Select Random Phase
print("Selecti... | 1,116 | 0 | 23 |
91a51dcbfc685464fa605e651f220b09aaf8f706 | 15,440 | py | Python | tests/test_utils.py | radioactivedecay/radioactivedecay | 39b9cf45465f8ed54dc67bc35a3bb20bd8c257c7 | [
"MIT"
] | 12 | 2021-11-12T21:15:22.000Z | 2022-03-30T12:36:03.000Z | tests/test_utils.py | radioactivedecay/radioactivedecay | 39b9cf45465f8ed54dc67bc35a3bb20bd8c257c7 | [
"MIT"
] | 15 | 2021-11-08T03:30:41.000Z | 2022-03-21T07:24:48.000Z | tests/test_utils.py | radioactivedecay/radioactivedecay | 39b9cf45465f8ed54dc67bc35a3bb20bd8c257c7 | [
"MIT"
] | 3 | 2021-11-07T16:33:19.000Z | 2022-02-10T09:50:42.000Z | """
Unit tests for utils.py functions.
"""
import unittest
import numpy as np
from sympy import Integer, log
from radioactivedecay.utils import (
get_metastable_chars,
Z_to_elem,
elem_to_Z,
build_id,
build_nuclide_string,
NuclideStrError,
parse_nuclide_str,
parse_id,
parse_nuclide,
... | 44.240688 | 94 | 0.629922 | """
Unit tests for utils.py functions.
"""
import unittest
import numpy as np
from sympy import Integer, log
from radioactivedecay.utils import (
get_metastable_chars,
Z_to_elem,
elem_to_Z,
build_id,
build_nuclide_string,
NuclideStrError,
parse_nuclide_str,
parse_id,
parse_nuclide,
... | 0 | 0 | 0 |
f4ed724a958fb55e950f7a8e3a6a1c517973e5d2 | 759 | py | Python | flexslider/models.py | ForumDev/djangocms-flexslider | 181168aa9752d7023e03880b27004b886c96afdf | [
"MIT"
] | null | null | null | flexslider/models.py | ForumDev/djangocms-flexslider | 181168aa9752d7023e03880b27004b886c96afdf | [
"MIT"
] | null | null | null | flexslider/models.py | ForumDev/djangocms-flexslider | 181168aa9752d7023e03880b27004b886c96afdf | [
"MIT"
] | 1 | 2020-10-12T06:32:34.000Z | 2020-10-12T06:32:34.000Z | from django.db import models
from cms.models.pluginmodel import CMSPlugin
from django.utils.http import int_to_base36
# Create your models here.
| 44.647059 | 116 | 0.716733 | from django.db import models
from cms.models.pluginmodel import CMSPlugin
from django.utils.http import int_to_base36
# Create your models here.
class Slide(models.Model):
title = models.CharField(max_length=25)
index = models.IntegerField(default=0)
descript = models.TextField(default='')
short_name =... | 155 | 436 | 23 |
5b5eae6199479a508c9a2978661678252607a7c1 | 1,147 | py | Python | level_loader.py | OHopiak/over_the_wire_level_loader | 31a5ecc68553d1ed9c09402af025347c209d1f15 | [
"MIT"
] | 1 | 2022-03-06T19:10:21.000Z | 2022-03-06T19:10:21.000Z | level_loader.py | OHopiak/over_the_wire_level_loader | 31a5ecc68553d1ed9c09402af025347c209d1f15 | [
"MIT"
] | null | null | null | level_loader.py | OHopiak/over_the_wire_level_loader | 31a5ecc68553d1ed9c09402af025347c209d1f15 | [
"MIT"
] | null | null | null | import json
import os
from config import Config
from level import Level
| 24.404255 | 58 | 0.707934 | import json
import os
from config import Config
from level import Level
class LevelLoader:
def __init__(self, config: Config, filename):
self.config = config
self.filename = filename
self.levels = {}
def load(self):
if not os.path.exists(self.filename):
self.levels[0] = Level(self.config)
self.save(... | 934 | -3 | 142 |
22892635c988f34b654c60f02e026254afa31ea3 | 6,210 | py | Python | hw/rmnist.py | vihari/CSD | 9902cdc8ea54f2650cd1396f904a06598a864a76 | [
"MIT"
] | 41 | 2020-05-01T10:08:26.000Z | 2021-12-21T12:47:53.000Z | hw/rmnist.py | kevinbro96/CSD | 9902cdc8ea54f2650cd1396f904a06598a864a76 | [
"MIT"
] | 6 | 2020-07-10T03:48:16.000Z | 2021-07-21T06:49:05.000Z | hw/rmnist.py | kevinbro96/CSD | 9902cdc8ea54f2650cd1396f904a06598a864a76 | [
"MIT"
] | 6 | 2020-06-07T13:57:36.000Z | 2021-12-09T11:52:39.000Z | # 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... | 36.315789 | 114 | 0.703865 | # 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... | 4,503 | 0 | 69 |
c9fb9128994d65e802fe7e09c5ea25c6fdc37c5a | 2,290 | py | Python | tests/test_plotting.py | dpanici/DESC | e98a16394d02411952efc18cc6c009e5226b11e4 | [
"MIT"
] | 1 | 2020-11-20T17:17:50.000Z | 2020-11-20T17:17:50.000Z | tests/test_plotting.py | dpanici/DESC | e98a16394d02411952efc18cc6c009e5226b11e4 | [
"MIT"
] | 12 | 2020-11-19T05:22:13.000Z | 2020-12-15T03:50:33.000Z | tests/test_plotting.py | dpanici/DESC | e98a16394d02411952efc18cc6c009e5226b11e4 | [
"MIT"
] | null | null | null | import unittest
from desc.plotting import Plot
| 43.207547 | 88 | 0.461135 | import unittest
from desc.plotting import Plot
class TestPlot(unittest.TestCase):
def setUp(self):
self.names = ['B', '|B|', 'B^zeta', 'B_zeta', 'B_r', 'B^zeta_r',
'B_zeta_r', 'B**2', 'B_r**2', 'B^zeta**2', 'B_zeta**2',
'B^zeta_r**2', 'B_zeta_r**2']
self.bases = ['... | 2,125 | 13 | 104 |
4395828f7160f986e3513ec5a042011bcc7933d9 | 5,193 | py | Python | appimagebuilder/__main__.py | mssalvatore/appimage-builder | 2ecb7973cedfff9d03a21258419e515c48cafe84 | [
"MIT"
] | null | null | null | appimagebuilder/__main__.py | mssalvatore/appimage-builder | 2ecb7973cedfff9d03a21258419e515c48cafe84 | [
"MIT"
] | null | null | null | appimagebuilder/__main__.py | mssalvatore/appimage-builder | 2ecb7973cedfff9d03a21258419e515c48cafe84 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright 2020 Alexis Lopez Zubieta
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation the
# rights to use, cop... | 32.867089 | 88 | 0.629886 | #!/usr/bin/env python3
# Copyright 2020 Alexis Lopez Zubieta
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation the
# rights to use, cop... | 3,974 | 0 | 69 |
c3cc1bbc8361fb79bfc3929e7c307b0d7476fa52 | 8,616 | py | Python | python/coursera_python/IBM/FakeAlbumCoverGame.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/coursera_python/IBM/FakeAlbumCoverGame.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/coursera_python/IBM/FakeAlbumCoverGame.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z |
# coding: utf-8
# <div class="alert alert-block alert-info" style="margin-top: 20px">
# <a href="http://cocl.us/NotebooksPython101"><img src = "https://ibm.box.com/shared/static/yfe6h4az47ktg2mm9h05wby2n7e8kei3.png" width = 750, align = "center"></a>
# <a href="https://www.bigdatauniversity.com"><img src = "https:... | 36.201681 | 520 | 0.709262 |
# coding: utf-8
# <div class="alert alert-block alert-info" style="margin-top: 20px">
# <a href="http://cocl.us/NotebooksPython101"><img src = "https://ibm.box.com/shared/static/yfe6h4az47ktg2mm9h05wby2n7e8kei3.png" width = 750, align = "center"></a>
# <a href="https://www.bigdatauniversity.com"><img src = "https:... | 0 | 0 | 0 |
5ac1a60094da7f7d24954f092d12c53c1fb20c08 | 1,915 | py | Python | src/create_feature_descriptor.py | gmaher/cmd_tools | 27f31eadca16e5fb7e4175ff3d6dd5881bfa3e27 | [
"MIT"
] | null | null | null | src/create_feature_descriptor.py | gmaher/cmd_tools | 27f31eadca16e5fb7e4175ff3d6dd5881bfa3e27 | [
"MIT"
] | null | null | null | src/create_feature_descriptor.py | gmaher/cmd_tools | 27f31eadca16e5fb7e4175ff3d6dd5881bfa3e27 | [
"MIT"
] | null | null | null | import os
import json
import argparse
import pandas as pd
from tqdm import tqdm
from dateutil.parser import parse
parser = argparse.ArgumentParser()
parser.add_argument('-input')
parser.add_argument('-output_dir')
parser.add_argument('-override_file',type=str,default="")
args = parser.parse_args()
input_ = os.path.... | 25.197368 | 66 | 0.627676 | import os
import json
import argparse
import pandas as pd
from tqdm import tqdm
from dateutil.parser import parse
def is_date_func(string):
try:
parse(string)
return True
except:
return False
parser = argparse.ArgumentParser()
parser.add_argument('-input')
parser.add_argument('-output... | 88 | 0 | 23 |
bfaf623c08a95eaf936f8bdf7d57dc7654bcf392 | 1,425 | py | Python | src/utils.py | uvipen/QuickDraw-AirGesture-tensorflow | 377f3344e37496306d12c753794b06ddca84c3f3 | [
"MIT"
] | 94 | 2021-07-12T13:02:40.000Z | 2022-02-15T10:48:57.000Z | src/utils.py | haoict/QuickDraw-AirGesture-tensorflow | 3e11cf12a08d3ebf012d20ff0ebb44afdfb17bad | [
"MIT"
] | null | null | null | src/utils.py | haoict/QuickDraw-AirGesture-tensorflow | 3e11cf12a08d3ebf012d20ff0ebb44afdfb17bad | [
"MIT"
] | 24 | 2021-07-12T13:02:03.000Z | 2021-12-06T09:42:45.000Z | """
@author: Viet Nguyen <nhviet1009@gmail.com>
"""
import cv2
import numpy as np
from collections import OrderedDict
# https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/image_classification/quickdraw_labels.txt
# Rule: key of category = index -1, with index from the link above
CLASS_IDS = Ordere... | 29.6875 | 114 | 0.698246 | """
@author: Viet Nguyen <nhviet1009@gmail.com>
"""
import cv2
import numpy as np
from collections import OrderedDict
# https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/image_classification/quickdraw_labels.txt
# Rule: key of category = index -1, with index from the link above
CLASS_IDS = Ordere... | 596 | 0 | 46 |
a4c89ea15ba64b8b6f264c35fcaeb76de5ace39c | 6,496 | py | Python | reinvent-2019/connected-photo-booth/py_client/config.py | chriscoombs/aws-builders-fair-projects | eee405931030b833fa8c51e906c73d09ce051bcd | [
"Apache-2.0"
] | null | null | null | reinvent-2019/connected-photo-booth/py_client/config.py | chriscoombs/aws-builders-fair-projects | eee405931030b833fa8c51e906c73d09ce051bcd | [
"Apache-2.0"
] | null | null | null | reinvent-2019/connected-photo-booth/py_client/config.py | chriscoombs/aws-builders-fair-projects | eee405931030b833fa8c51e906c73d09ce051bcd | [
"Apache-2.0"
] | null | null | null | import boto3
import botocore
import os
import glob
import json
import requests
from datetime import datetime
from time import sleep
from time import gmtime, strftime
import sys, getopt
import argparse
import subprocess
from shutil import copyfile, rmtree
import logging
import configparser
__CONFIG_FILE_PATH__ ... | 26.406504 | 114 | 0.671952 | import boto3
import botocore
import os
import glob
import json
import requests
from datetime import datetime
from time import sleep
from time import gmtime, strftime
import sys, getopt
import argparse
import subprocess
from shutil import copyfile, rmtree
import logging
import configparser
__CONFIG_FILE_PATH__ ... | 4,326 | 1,776 | 23 |
56e7ca0fc7489f5c223fc37faf7817929b1b8643 | 2,240 | py | Python | convert_hdf52recordio.py | Helmholtz-AI-Energy/mlperf-deepcam | d4869bce18029cc9877d7ed04178d6e4ca73a411 | [
"MIT"
] | 3 | 2021-11-18T20:01:35.000Z | 2021-12-17T17:47:23.000Z | convert_hdf52recordio.py | Helmholtz-AI-Energy/mlperf-deepcam | d4869bce18029cc9877d7ed04178d6e4ca73a411 | [
"MIT"
] | 1 | 2022-03-16T07:29:30.000Z | 2022-03-31T10:19:07.000Z | convert_hdf52recordio.py | Helmholtz-AI-Energy/mlperf-deepcam | d4869bce18029cc9877d7ed04178d6e4ca73a411 | [
"MIT"
] | 1 | 2021-11-18T01:53:25.000Z | 2021-11-18T01:53:25.000Z | import os
import sys
import glob
import h5py as h5
import numpy as np
import math
import argparse as ap
import mxnet as mx
from mpi4py import MPI
if __name__ == "__main__":
AP = ap.ArgumentParser()
AP.add_argument("--input_directory", type=str, help="Directory with input files", required = True... | 29.473684 | 131 | 0.647768 | import os
import sys
import glob
import h5py as h5
import numpy as np
import math
import argparse as ap
import mxnet as mx
from mpi4py import MPI
def filter_func(item, lst):
item = os.path.basename(item).replace(".h5", ".npy")
return item not in lst
def read(ifname):
with h5.File(ifname, 'r') as f:
... | 1,594 | 0 | 69 |
ea7ea6e4956da5520f3970ca5834c2b81388da01 | 754 | py | Python | setup.py | nkennek/pytorch-cnn-visualizations | 54699710b1beae1edae4bc12e9403080191c40ed | [
"MIT"
] | null | null | null | setup.py | nkennek/pytorch-cnn-visualizations | 54699710b1beae1edae4bc12e9403080191c40ed | [
"MIT"
] | null | null | null | setup.py | nkennek/pytorch-cnn-visualizations | 54699710b1beae1edae4bc12e9403080191c40ed | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
name='pytorch-cnn-visualization',
version='0.0',
description='pytorch implementation of CNN visualization techniques',
packages=find_packages(),
include_package_data=True,
install_requires=[
... | 21.542857 | 73 | 0.485411 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
name='pytorch-cnn-visualization',
version='0.0',
description='pytorch implementation of CNN visualization techniques',
packages=find_packages(),
include_package_data=True,
install_requires=[
... | 0 | 0 | 0 |
eef9139890c2b1751504590b390a2fe9c136409e | 3,840 | py | Python | replication_handler/models/mysql_dumps.py | ywlianghang/mysql_streamer | 7fc85efaca3db6a387ea4b791632c2df2d04cb3e | [
"Apache-2.0"
] | 419 | 2016-11-17T18:41:47.000Z | 2022-03-14T02:50:02.000Z | replication_handler/models/mysql_dumps.py | ywlianghang/mysql_streamer | 7fc85efaca3db6a387ea4b791632c2df2d04cb3e | [
"Apache-2.0"
] | 19 | 2016-11-30T18:09:00.000Z | 2019-04-02T06:20:02.000Z | replication_handler/models/mysql_dumps.py | ywlianghang/mysql_streamer | 7fc85efaca3db6a387ea4b791632c2df2d04cb3e | [
"Apache-2.0"
] | 90 | 2016-11-23T06:26:20.000Z | 2022-01-22T09:24:42.000Z | # -*- coding: utf-8 -*-
# Copyright 2016 Yelp Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 33.982301 | 81 | 0.654167 | # -*- coding: utf-8 -*-
# Copyright 2016 Yelp Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 2,428 | 382 | 72 |
38a4e46d7b35ffafb2edb463735f6e74a3e69b52 | 12,614 | py | Python | mordred/_base/calculator.py | zhengfj1994/mordred | 2848b088fd7b6735590242b5e22573babc724f10 | [
"BSD-3-Clause"
] | 1 | 2019-09-12T03:38:47.000Z | 2019-09-12T03:38:47.000Z | mordred/_base/calculator.py | zhengfj1994/mordred | 2848b088fd7b6735590242b5e22573babc724f10 | [
"BSD-3-Clause"
] | null | null | null | mordred/_base/calculator.py | zhengfj1994/mordred | 2848b088fd7b6735590242b5e22573babc724f10 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function
import sys
import warnings
from types import ModuleType
from contextlib import contextmanager
from multiprocessing import cpu_count
from distutils.version import StrictVersion
from .result import Result
from .._util import Capture, DummyBar
from ..error import Error, Missing, Mul... | 27.968958 | 99 | 0.570002 | from __future__ import print_function
import sys
import warnings
from types import ModuleType
from contextlib import contextmanager
from multiprocessing import cpu_count
from distutils.version import StrictVersion
from .result import Result
from .._util import Capture, DummyBar
from ..error import Error, Missing, Mul... | 5,302 | 0 | 402 |
cea0480cc90d81ea261b1a8a170bb14ba568725e | 584 | py | Python | tests/type/any_type/test_equality.py | llambeau/finitio.py | 27c2799709993c6edb9d9038290792ed90a97346 | [
"0BSD"
] | 1 | 2016-02-06T17:16:22.000Z | 2016-02-06T17:16:22.000Z | tests/type/any_type/test_equality.py | llambeau/finitio.py | 27c2799709993c6edb9d9038290792ed90a97346 | [
"0BSD"
] | null | null | null | tests/type/any_type/test_equality.py | llambeau/finitio.py | 27c2799709993c6edb9d9038290792ed90a97346 | [
"0BSD"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_equality
----------------------------------
Tests for the `AnyType` __eq__ method
"""
import unittest
from finitio.types import AnyType
if __name__ == '__main__':
import sys
sys.exit(unittest.main())
| 19.466667 | 73 | 0.672945 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_equality
----------------------------------
Tests for the `AnyType` __eq__ method
"""
import unittest
from finitio.types import AnyType
class TestAnyTypeEq(unittest.TestCase):
_type = AnyType()
_type2 = AnyType()
def test_it_should_apply_structu... | 174 | 118 | 23 |
7418a9ede9105dcc2f6808eb0451d86e1f5d6771 | 2,294 | py | Python | PARAMETERS.py | sk-stm/banana_project | 56423e0b516297652eb402a4a70559b2afd8c8a1 | [
"MIT"
] | null | null | null | PARAMETERS.py | sk-stm/banana_project | 56423e0b516297652eb402a4a70559b2afd8c8a1 | [
"MIT"
] | null | null | null | PARAMETERS.py | sk-stm/banana_project | 56423e0b516297652eb402a4a70559b2afd8c8a1 | [
"MIT"
] | null | null | null | # # DQN agent
# # agent hyper parameters
# N_EPISODES = 2000 # how many episodes to train
# MAX_T = 10000 # maximum steps per episode
# EPS_START = 1.0 # start values of epsilon (for epsilon greedy exploration)
# EPS_END = 0.01 # minimum value of epsilon
# EPS_DECAY = 0.995 # decay rate of epsilon new_eps = old_ep... | 34.757576 | 88 | 0.723627 | # # DQN agent
# # agent hyper parameters
# N_EPISODES = 2000 # how many episodes to train
# MAX_T = 10000 # maximum steps per episode
# EPS_START = 1.0 # start values of epsilon (for epsilon greedy exploration)
# EPS_END = 0.01 # minimum value of epsilon
# EPS_DECAY = 0.995 # decay rate of epsilon new_eps = old_ep... | 0 | 0 | 0 |
c08004c116c9dc2c7e5db2068d81bd9605d565f8 | 2,495 | py | Python | dataset_scripts/xml_detects_creator.py | shpotes/self-driving-car | 7329e6213c483a7695ab4e97cf16c93ce6d0b25f | [
"MIT"
] | 1 | 2019-06-02T22:27:31.000Z | 2019-06-02T22:27:31.000Z | dataset_scripts/xml_detects_creator.py | shpotes/self-driving-car | 7329e6213c483a7695ab4e97cf16c93ce6d0b25f | [
"MIT"
] | null | null | null | dataset_scripts/xml_detects_creator.py | shpotes/self-driving-car | 7329e6213c483a7695ab4e97cf16c93ce6d0b25f | [
"MIT"
] | null | null | null | import imutils
# import dlib
import cv2
import datetime
import glob
import sys
if __name__ == '__main__':
main() | 28.352273 | 105 | 0.644088 | import imutils
# import dlib
import cv2
import datetime
import glob
import sys
def main():
# construct the argument parser and parse the arguments
# initialize dlib's face detector (HOG-based) and then create
# the facial landmark predictor
#detector = dlib.get_frontal_face_detector()
#predictor = dlib.shape_pre... | 2,356 | 0 | 23 |
8a95cbc9a629fdf7e574d8397ff368a4a0ca806b | 2,362 | py | Python | graph.py | lokkelvin2/dc_tts | cd6bb96904f25a3db11fc4ba30d42a49a5b2b98c | [
"Apache-2.0"
] | 25 | 2020-07-04T11:30:09.000Z | 2022-01-28T18:11:16.000Z | graph.py | lokkelvin2/dc_tts | cd6bb96904f25a3db11fc4ba30d42a49a5b2b98c | [
"Apache-2.0"
] | 5 | 2020-06-19T02:29:23.000Z | 2021-06-20T09:25:11.000Z | graph.py | lokkelvin2/dc_tts | cd6bb96904f25a3db11fc4ba30d42a49a5b2b98c | [
"Apache-2.0"
] | 4 | 2021-05-15T19:25:32.000Z | 2022-02-17T00:29:32.000Z |
from data_load import load_vocab
from hyperparams import Hyperparams as hp
from networks import TextEnc, AudioEnc, AudioDec, Attention, SSRN
import tensorflow as tf
| 39.366667 | 121 | 0.54276 |
from data_load import load_vocab
from hyperparams import Hyperparams as hp
from networks import TextEnc, AudioEnc, AudioDec, Attention, SSRN
import tensorflow as tf
class Graph:
def __init__(self, num=1, mode="train"):
'''
Args:
num: Either 1 or 2. 1 for Text2Mel 2 for SSRN.
m... | 0 | 2,163 | 23 |
4014f038ccad19cb9b43c7a5f154e829057d1c39 | 443 | py | Python | app.py | 0xAurelius/playgrounds | 510bea031df6079e060b1bf3ba7399d45d00e050 | [
"MIT"
] | null | null | null | app.py | 0xAurelius/playgrounds | 510bea031df6079e060b1bf3ba7399d45d00e050 | [
"MIT"
] | 4 | 2021-11-17T20:18:55.000Z | 2022-01-12T18:06:58.000Z | app.py | 0xAurelius/playgrounds | 510bea031df6079e060b1bf3ba7399d45d00e050 | [
"MIT"
] | null | null | null | import dash
import dash_bootstrap_components as dbc
from utils import load_config
config = load_config()
protocol = config['protocol']
app = dash.Dash(
__name__,
external_stylesheets=[dbc.themes.DARKLY],
suppress_callback_exceptions=True,
title=f"{protocol} Playgrounds",
meta_tags=[{
'nam... | 23.315789 | 97 | 0.69526 | import dash
import dash_bootstrap_components as dbc
from utils import load_config
config = load_config()
protocol = config['protocol']
app = dash.Dash(
__name__,
external_stylesheets=[dbc.themes.DARKLY],
suppress_callback_exceptions=True,
title=f"{protocol} Playgrounds",
meta_tags=[{
'nam... | 0 | 0 | 0 |
ccef29cabcdead762aa3b1c5fa4b620d44ce3602 | 337 | py | Python | Codewars/8kyu/geometry-basics-circle-area-in-2d/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | 7 | 2017-09-20T16:40:39.000Z | 2021-08-31T18:15:08.000Z | Codewars/8kyu/geometry-basics-circle-area-in-2d/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | Codewars/8kyu/geometry-basics-circle-area-in-2d/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | # Python - 3.6.0
test.assert_equals(round(circle_area(Circle(Point(10, 10), 30)), 6), 2827.433388)
test.assert_equals(round(circle_area(Circle(Point(25, -70), 30)), 6), 2827.433388)
test.assert_equals(round(circle_area(Circle(Point(-15, 5), 0)), 6), 0)
test.assert_equals(round(circle_area(Circle(Point(-15, 5), 12.5)),... | 48.142857 | 82 | 0.715134 | # Python - 3.6.0
test.assert_equals(round(circle_area(Circle(Point(10, 10), 30)), 6), 2827.433388)
test.assert_equals(round(circle_area(Circle(Point(25, -70), 30)), 6), 2827.433388)
test.assert_equals(round(circle_area(Circle(Point(-15, 5), 0)), 6), 0)
test.assert_equals(round(circle_area(Circle(Point(-15, 5), 12.5)),... | 0 | 0 | 0 |
2ecce8e6510586c097a7c41d462e2fca1a437b5d | 1,663 | py | Python | paddlenlp/taskflow/utils.py | a5116638/PaddleNLP | 37a95ae3c0d317aff09f76f79484208354db1e36 | [
"Apache-2.0"
] | 1 | 2021-09-29T06:05:13.000Z | 2021-09-29T06:05:13.000Z | paddlenlp/taskflow/utils.py | svs1984/PaddleNLP | 9eb9e23b01d044706c789158ac6cf0d365aea848 | [
"Apache-2.0"
] | null | null | null | paddlenlp/taskflow/utils.py | svs1984/PaddleNLP | 9eb9e23b01d044706c789158ac6cf0d365aea848 | [
"Apache-2.0"
] | null | null | null | # coding:utf-8
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | 39.595238 | 104 | 0.725195 | # coding:utf-8
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | 0 | 0 | 0 |
04ed3515e3b9ad34f17dc8d17749cddc196feff9 | 9,707 | py | Python | users/tests/test_forms.py | mmesiti/cogs3 | c48cd48629570f418b93aec73de49bc2fb59edc2 | [
"MIT"
] | 1 | 2020-03-28T23:55:02.000Z | 2020-03-28T23:55:02.000Z | users/tests/test_forms.py | mmesiti/cogs3 | c48cd48629570f418b93aec73de49bc2fb59edc2 | [
"MIT"
] | 60 | 2018-04-16T13:40:23.000Z | 2020-06-05T18:02:01.000Z | users/tests/test_forms.py | mmesiti/cogs3 | c48cd48629570f418b93aec73de49bc2fb59edc2 | [
"MIT"
] | 10 | 2018-03-14T22:25:50.000Z | 2020-01-09T21:32:22.000Z | import datetime
from django import forms
from django.test import TestCase
from django.utils.translation import activate
from institution.models import Institution
from users.forms import CustomUserChangeForm
from users.forms import CustomUserCreationForm
from users.forms import ProfileUpdateForm
from users.forms impo... | 36.768939 | 99 | 0.608221 | import datetime
from django import forms
from django.test import TestCase
from django.utils.translation import activate
from institution.models import Institution
from users.forms import CustomUserChangeForm
from users.forms import CustomUserCreationForm
from users.forms import ProfileUpdateForm
from users.forms impo... | 489 | 8,717 | 92 |
37932ce90f945a2abf6aae9ca6759bd8c18500f4 | 13,160 | py | Python | build.py | secure-foundations/veri-titan | f7e4b434fd2ab85642aeb1fc4d7c34c28c678d3c | [
"MIT"
] | 10 | 2020-06-26T17:14:49.000Z | 2022-03-31T16:29:01.000Z | build.py | secure-foundations/veri-titan | f7e4b434fd2ab85642aeb1fc4d7c34c28c678d3c | [
"MIT"
] | 2 | 2021-04-06T14:06:34.000Z | 2022-03-09T00:01:14.000Z | build.py | secure-foundations/veri-titan | f7e4b434fd2ab85642aeb1fc4d7c34c28c678d3c | [
"MIT"
] | 4 | 2020-06-11T02:39:15.000Z | 2022-01-27T09:46:08.000Z | #!/usr/bin/env python
import sys, os, subprocess, re, platform
from subprocess import PIPE, Popen
from os.path import exists
TOOLS_DIR = "./tools"
DAFNY_PATH = "./tools/dafny/dafny"
VALE_PATH = "./tools/vale/bin/vale"
DAFNY_LIB_DIR = "./std_lib"
DAFNY_LIB_HASH = "84d160538b6442017a5401feb91265147bf34bfc"
DAFNY_ZIP_... | 31.111111 | 150 | 0.629027 | #!/usr/bin/env python
import sys, os, subprocess, re, platform
from subprocess import PIPE, Popen
from os.path import exists
TOOLS_DIR = "./tools"
DAFNY_PATH = "./tools/dafny/dafny"
VALE_PATH = "./tools/vale/bin/vale"
DAFNY_LIB_DIR = "./std_lib"
DAFNY_LIB_HASH = "84d160538b6442017a5401feb91265147bf34bfc"
DAFNY_ZIP_... | 11,217 | -3 | 625 |
c014c57708ea670205d0e1b85a67761597da2bbc | 2,701 | py | Python | test.py | emboiko/Socket_Singleton | e44e8230daa5167c92f9519c73a2374a3d279cbc | [
"MIT"
] | 1 | 2021-08-01T06:12:49.000Z | 2021-08-01T06:12:49.000Z | test.py | emboiko/Socket_Singleton | e44e8230daa5167c92f9519c73a2374a3d279cbc | [
"MIT"
] | null | null | null | test.py | emboiko/Socket_Singleton | e44e8230daa5167c92f9519c73a2374a3d279cbc | [
"MIT"
] | null | null | null | import unittest
from time import sleep
from subprocess import run
from src.Socket_Singleton import Socket_Singleton, MultipleSingletonsError
if __name__ == "__main__":
unittest.main()
| 31.045977 | 86 | 0.670863 | import unittest
from time import sleep
from subprocess import run
from src.Socket_Singleton import Socket_Singleton, MultipleSingletonsError
class TestMain(unittest.TestCase):
def setUp(self):
self.app = Socket_Singleton()
self.traced_args = []
def test_default(self):
result = run("t... | 2,100 | 13 | 377 |
14c7ea14a7df31fd177851177e74b5d33195f582 | 533 | py | Python | Wikipedia search.py | Behordeun/simple-python-projects | c2d088a2c1ebd842ca4d9817d569da4fd6b7f637 | [
"Apache-2.0"
] | 1 | 2021-09-09T10:55:23.000Z | 2021-09-09T10:55:23.000Z | Wikipedia search.py | Behordeun/simple-python-projects | c2d088a2c1ebd842ca4d9817d569da4fd6b7f637 | [
"Apache-2.0"
] | null | null | null | Wikipedia search.py | Behordeun/simple-python-projects | c2d088a2c1ebd842ca4d9817d569da4fd6b7f637 | [
"Apache-2.0"
] | null | null | null | from tensorboard import summary
from tkinter import *
import wikipedia
root = Tk()
root.title("Wikipedia Search")
root.geometry("400x400")
frame = Frame(root)
input = Entry(frame, width = 30)
input.pack()
result = ""
text = Text(root, font = ("arial", 20))
button = Button(frame, text="Search", command=search)
button... | 21.32 | 53 | 0.69606 | from tensorboard import summary
from tkinter import *
import wikipedia
root = Tk()
root.title("Wikipedia Search")
root.geometry("400x400")
frame = Frame(root)
input = Entry(frame, width = 30)
input.pack()
result = ""
text = Text(root, font = ("arial", 20))
def search():
global result
result = input.get()
... | 120 | 0 | 23 |
7afd3df22ba47b8d1930eeb3a5534f705fbda846 | 456 | py | Python | students/k3342/laboratory_works/Kocheshkova_Kseniia/laboratory_work_1/flights/migrations/0004_auto_20201101_2206.py | Derimeer/ITMO_ICT_WebProgramming_2020 | afb4999d20d59c5d47e4f380e8ba06204a42c729 | [
"MIT"
] | null | null | null | students/k3342/laboratory_works/Kocheshkova_Kseniia/laboratory_work_1/flights/migrations/0004_auto_20201101_2206.py | Derimeer/ITMO_ICT_WebProgramming_2020 | afb4999d20d59c5d47e4f380e8ba06204a42c729 | [
"MIT"
] | null | null | null | students/k3342/laboratory_works/Kocheshkova_Kseniia/laboratory_work_1/flights/migrations/0004_auto_20201101_2206.py | Derimeer/ITMO_ICT_WebProgramming_2020 | afb4999d20d59c5d47e4f380e8ba06204a42c729 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-11-01 19:06
from django.db import migrations, models
| 24 | 120 | 0.596491 | # Generated by Django 3.1.2 on 2020-11-01 19:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('flights', '0003_flight_number_flight'),
]
operations = [
migrations.AlterField(
model_name='flight',
name='type',
... | 0 | 342 | 23 |
739ce0612c9ab100da3c259aaf5a9f24e447aef4 | 357 | py | Python | three/mathutils/__init__.py | jpiland16/three.py-packaged | 53026f1637eff31bbdbeb32dac6bb4ec608ff4a6 | [
"MIT"
] | null | null | null | three/mathutils/__init__.py | jpiland16/three.py-packaged | 53026f1637eff31bbdbeb32dac6bb4ec608ff4a6 | [
"MIT"
] | null | null | null | three/mathutils/__init__.py | jpiland16/three.py-packaged | 53026f1637eff31bbdbeb32dac6bb4ec608ff4a6 | [
"MIT"
] | null | null | null | from three.mathutils.MatrixFactory import *
from three.mathutils.Matrix import *
from three.mathutils.Curve import *
from three.mathutils.CurveFactory import *
from three.mathutils.Multicurve import *
from three.mathutils.Surface import *
from three.mathutils.Hilbert3D import *
from three.mathutils.RandomUtils import *... | 35.7 | 43 | 0.823529 | from three.mathutils.MatrixFactory import *
from three.mathutils.Matrix import *
from three.mathutils.Curve import *
from three.mathutils.CurveFactory import *
from three.mathutils.Multicurve import *
from three.mathutils.Surface import *
from three.mathutils.Hilbert3D import *
from three.mathutils.RandomUtils import *... | 0 | 0 | 0 |
ed46fa2cc80b4b07d8ccd05414bb5d2f39219bbd | 14,476 | py | Python | ddnet/ddnet.py | fzqneo/DD-Net | bde4c01d7378582dfa84f98a3affa84931f64ca1 | [
"MIT"
] | null | null | null | ddnet/ddnet.py | fzqneo/DD-Net | bde4c01d7378582dfa84f98a3affa84931f64ca1 | [
"MIT"
] | null | null | null | ddnet/ddnet.py | fzqneo/DD-Net | bde4c01d7378582dfa84f98a3affa84931f64ca1 | [
"MIT"
] | null | null | null | import numpy as np
import scipy.ndimage.interpolation as inter
import tensorflow as tf
from keras import backend as K
from keras import regularizers
from keras.layers import *
from keras.layers.convolutional import *
from keras.layers.core import *
from keras.models import Model, load_model
from keras.optimizers import... | 32.677201 | 133 | 0.579649 | import numpy as np
import scipy.ndimage.interpolation as inter
import tensorflow as tf
from keras import backend as K
from keras import regularizers
from keras.layers import *
from keras.layers.convolutional import *
from keras.layers.core import *
from keras.models import Model, load_model
from keras.optimizers import... | 3,574 | 4,869 | 330 |
758c8e0bb0787b888692896184c923a6e803e43e | 1,188 | py | Python | tests/flask/test_template.py | odahu/odahuPackager | 35839d257c7a471541026bb9418072110190d29f | [
"ECL-2.0",
"Apache-2.0"
] | 7 | 2020-01-27T12:44:54.000Z | 2021-07-21T02:22:26.000Z | tests/flask/test_template.py | odahu/odahuPackager | 35839d257c7a471541026bb9418072110190d29f | [
"ECL-2.0",
"Apache-2.0"
] | 19 | 2019-11-28T18:45:27.000Z | 2022-01-14T08:41:09.000Z | tests/flask/test_template.py | odahu/odahuPackager | 35839d257c7a471541026bb9418072110190d29f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2020 EPAM Systems
#
# 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 writin... | 36 | 80 | 0.740741 | # Copyright 2020 EPAM Systems
#
# 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 writin... | 441 | 0 | 23 |
b4d3f9914e42a85151f9ba1a4493866d2ca72d28 | 536 | py | Python | test/ResultsAndPrizes/zodiac/test_zodiac_results_of_the_last_draw.py | FearFactor1/SPA | a05aaa924c5bebb52cd508ebdf7fd3b81c49fac7 | [
"Apache-2.0"
] | 1 | 2019-12-05T06:50:54.000Z | 2019-12-05T06:50:54.000Z | test/ResultsAndPrizes/zodiac/test_zodiac_results_of_the_last_draw.py | FearFactor1/SPA | a05aaa924c5bebb52cd508ebdf7fd3b81c49fac7 | [
"Apache-2.0"
] | null | null | null | test/ResultsAndPrizes/zodiac/test_zodiac_results_of_the_last_draw.py | FearFactor1/SPA | a05aaa924c5bebb52cd508ebdf7fd3b81c49fac7 | [
"Apache-2.0"
] | null | null | null | # зодиак + Результаты последнего тиража
| 41.230769 | 82 | 0.826493 | # зодиак + Результаты последнего тиража
def test_zodiac_results_last_draw(app):
app.ResultAndPrizes.open_page_results_and_prizes()
app.ResultAndPrizes.click_game_zodiac()
app.ResultAndPrizes.click_results_of_the_last_draw()
app.ResultAndPrizes.button_get_report_winners()
app.ResultAndPrizes.parse... | 488 | 0 | 23 |
066863fb285e7985e22baf254e538f1c8ce1832e | 2,082 | py | Python | src/lobster.py | gdifiore/lobster | ca556ee70ad579b95ac78d525233e0b851cbeb53 | [
"MIT"
] | null | null | null | src/lobster.py | gdifiore/lobster | ca556ee70ad579b95ac78d525233e0b851cbeb53 | [
"MIT"
] | null | null | null | src/lobster.py | gdifiore/lobster | ca556ee70ad579b95ac78d525233e0b851cbeb53 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# lobster.py - lobster
#
# (c) gdifiore 2018 <difioregabe@gmail.com>
#
import os
import sys
import json
from lobster_json import *
from bs4 import BeautifulSoup
type = sys.argv[1]
file = sys.argv[2]
theme = sys.argv[3]
if type == "simple":
lobster_data = readJSON(file)
title = getTit... | 28.520548 | 62 | 0.612872 | #!/usr/bin/env python
#
# lobster.py - lobster
#
# (c) gdifiore 2018 <difioregabe@gmail.com>
#
import os
import sys
import json
from lobster_json import *
from bs4 import BeautifulSoup
type = sys.argv[1]
file = sys.argv[2]
theme = sys.argv[3]
if type == "simple":
def writeToHTML(title, header, content):
... | 1,234 | 0 | 52 |
0161925bdf1e38b609660308a47257b50d5a5327 | 46 | py | Python | reelib/__init__.py | reeve0930/reelib | 0010c0179448dd4d3f3a82280beade4936bab8ff | [
"MIT"
] | null | null | null | reelib/__init__.py | reeve0930/reelib | 0010c0179448dd4d3f3a82280beade4936bab8ff | [
"MIT"
] | null | null | null | reelib/__init__.py | reeve0930/reelib | 0010c0179448dd4d3f3a82280beade4936bab8ff | [
"MIT"
] | null | null | null | from . import timestamp
from . import contjson | 23 | 23 | 0.804348 | from . import timestamp
from . import contjson | 0 | 0 | 0 |
12aa58faa493370b575a7ad6f15f43ea90c3f41c | 11,111 | py | Python | Pyrado/tests/test_sampling.py | jacarvalho/SimuRLacra | a6c982862e2ab39a9f65d1c09aa59d9a8b7ac6c5 | [
"BSD-3-Clause"
] | null | null | null | Pyrado/tests/test_sampling.py | jacarvalho/SimuRLacra | a6c982862e2ab39a9f65d1c09aa59d9a8b7ac6c5 | [
"BSD-3-Clause"
] | null | null | null | Pyrado/tests/test_sampling.py | jacarvalho/SimuRLacra | a6c982862e2ab39a9f65d1c09aa59d9a8b7ac6c5 | [
"BSD-3-Clause"
] | null | null | null | import pytest
import random
import time
from torch.distributions.multivariate_normal import MultivariateNormal
from matplotlib import pyplot as plt
from pyrado.environment_wrappers.domain_randomization import DomainRandWrapperLive
from pyrado.environments.pysim.ball_on_beam import BallOnBeamSim
from pyrado.environment... | 32.488304 | 117 | 0.676447 | import pytest
import random
import time
from torch.distributions.multivariate_normal import MultivariateNormal
from matplotlib import pyplot as plt
from pyrado.environment_wrappers.domain_randomization import DomainRandWrapperLive
from pyrado.environments.pysim.ball_on_beam import BallOnBeamSim
from pyrado.environment... | 7,262 | 0 | 312 |
b41b891967812c7db46e79974d3319938dfddaf5 | 573 | py | Python | lib/nms_cython/setup.py | PJunhyuk/exercise-pose-guide | a2793ede6b150e5ae20185e14f8b4ad3a08f4196 | [
"Apache-2.0"
] | 161 | 2018-02-22T15:15:47.000Z | 2022-02-10T16:40:06.000Z | Chapter04/lib/nms_cython/setup.py | mayurmorin/Computer-Vision-Projects-with-OpenCV-and-Python-3 | bf9041d2804fd76d6a59a8b6f2feb8d50f80c9d3 | [
"MIT"
] | 15 | 2018-03-01T23:18:00.000Z | 2021-05-15T06:23:15.000Z | Chapter04/lib/nms_cython/setup.py | mayurmorin/Computer-Vision-Projects-with-OpenCV-and-Python-3 | bf9041d2804fd76d6a59a8b6f2feb8d50f80c9d3 | [
"MIT"
] | 41 | 2018-03-01T13:03:54.000Z | 2022-02-17T14:32:22.000Z | from setuptools import setup
from Cython.Build import cythonize
from distutils.extension import Extension
from sys import platform as _platform
import os
import numpy as np
#openmp_arg = '-fopenmp'
#if _platform == "win32":
# openmp_arg = '-openmp'
extensions = [
Extension(
'nms_grid', ['nms_grid.pyx'],
... | 22.038462 | 69 | 0.673647 | from setuptools import setup
from Cython.Build import cythonize
from distutils.extension import Extension
from sys import platform as _platform
import os
import numpy as np
#openmp_arg = '-fopenmp'
#if _platform == "win32":
# openmp_arg = '-openmp'
extensions = [
Extension(
'nms_grid', ['nms_grid.pyx'],
... | 0 | 0 | 0 |
85fd73311ab29b216fc7b92dd55084fe9aacf91e | 9,815 | py | Python | test/test_union.py | Mortal/scalgoproto | b9acfbdcf7cc75d6b673fde64ecd94dbe56738a8 | [
"MIT"
] | null | null | null | test/test_union.py | Mortal/scalgoproto | b9acfbdcf7cc75d6b673fde64ecd94dbe56738a8 | [
"MIT"
] | 26 | 2018-11-18T19:38:09.000Z | 2020-04-14T03:31:06.000Z | test/test_union.py | Mortal/scalgoproto | b9acfbdcf7cc75d6b673fde64ecd94dbe56738a8 | [
"MIT"
] | 2 | 2019-01-03T16:08:15.000Z | 2019-09-23T05:16:55.000Z | # -*- mode: python: return False tab-width: 4: return False indent-tabs-mode: nil: return False python-indent-offset: 4: return False coding: utf-8 -*-
import sys
import scalgoproto
import union
from test_base import require2, require, read_in, validate_out, get_v, require_some
if __name__ == "__main__":
main... | 30.576324 | 151 | 0.576872 | # -*- mode: python: return False tab-width: 4: return False indent-tabs-mode: nil: return False python-indent-offset: 4: return False coding: utf-8 -*-
import sys
import scalgoproto
import union
from test_base import require2, require, read_in, validate_out, get_v, require_some
def for_copy() -> union.Table3In:
w... | 9,400 | 0 | 92 |
40e41cf6a305104b3eb63bfef1e1c24cdb5f902e | 2,278 | py | Python | python_modules/dagster-pandas/dagster_pandas_tests/test_dagstermill_pandas_solids.py | vishvananda/dagster | f6aa44714246bc770fe05a9c986fe8b7d848956b | [
"Apache-2.0"
] | null | null | null | python_modules/dagster-pandas/dagster_pandas_tests/test_dagstermill_pandas_solids.py | vishvananda/dagster | f6aa44714246bc770fe05a9c986fe8b7d848956b | [
"Apache-2.0"
] | null | null | null | python_modules/dagster-pandas/dagster_pandas_tests/test_dagstermill_pandas_solids.py | vishvananda/dagster | f6aa44714246bc770fe05a9c986fe8b7d848956b | [
"Apache-2.0"
] | null | null | null | import sys
import pandas as pd
import pytest
from dagster import execute_pipeline
from dagster.utils import script_relative_path
from dagster_pandas.examples import (
define_pandas_papermill_pandas_hello_world_pipeline,
define_papermill_pandas_hello_world_pipeline,
)
@pytest.mark.skip('Must ship over run ... | 34 | 97 | 0.668569 | import sys
import pandas as pd
import pytest
from dagster import execute_pipeline
from dagster.utils import script_relative_path
from dagster_pandas.examples import (
define_pandas_papermill_pandas_hello_world_pipeline,
define_papermill_pandas_hello_world_pipeline,
)
def notebook_test(f):
# mark this w... | 1,834 | 0 | 67 |
4f006e344b7da6ee2a5647dd3a58fe2711c71e5d | 2,011 | py | Python | createdb.py | rakeshr4/Travelogue | 4f8c1506fe6a5a6ac5229db5c137235efd7b01c6 | [
"MIT"
] | null | null | null | createdb.py | rakeshr4/Travelogue | 4f8c1506fe6a5a6ac5229db5c137235efd7b01c6 | [
"MIT"
] | null | null | null | createdb.py | rakeshr4/Travelogue | 4f8c1506fe6a5a6ac5229db5c137235efd7b01c6 | [
"MIT"
] | null | null | null | import csv | 37.943396 | 221 | 0.655893 | import csv
def addData(db):
addUsers(db)
addGuides(db)
addInterests(db)
userInterests(db)
guideInterests(db)
addEvents(db)
def addUsers(db):
with open('models/user.csv', 'rb') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',')
for row in spamreader:
db.execute('insert into users (id, firstname,... | 1,840 | 0 | 161 |
77ed1d01a8b54b550a0d5ac17cedf2c08e1e0481 | 6,880 | py | Python | rrc scripts/scripts/networkRGAN.py | wq13552463699/Real_Robot_Challenge_Phase2_AE_attemp | 280736589077a2179254099ddaf2327752d9321c | [
"MIT"
] | 1 | 2021-11-02T10:48:55.000Z | 2021-11-02T10:48:55.000Z | rrc scripts/scripts/networkRGAN.py | wq13552463699/Real_Robot_Challenge_Phase2_AE_attemp | 280736589077a2179254099ddaf2327752d9321c | [
"MIT"
] | null | null | null | rrc scripts/scripts/networkRGAN.py | wq13552463699/Real_Robot_Challenge_Phase2_AE_attemp | 280736589077a2179254099ddaf2327752d9321c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 12 05:31:02 2021
@author: 14488
"""
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim as optim
from torch.autograd import Variable
import torch
import rrc_example_package.scripts.convolutional_rnn
from torch.nn.utils.rnn impor... | 32 | 105 | 0.461483 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 12 05:31:02 2021
@author: 14488
"""
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim as optim
from torch.autograd import Variable
import torch
import rrc_example_package.scripts.convolutional_rnn
from torch.nn.utils.rnn impor... | 5,007 | 10 | 763 |
f7a85f4ba484b62374b57b5478bfaa096d4ed62c | 1,021 | py | Python | Python/text_to_speech.py | BlackTimber-Labs/DemoPr | 6495b5307323ce17be5071006f1de90a1120edf4 | [
"MIT"
] | 10 | 2021-10-01T15:11:27.000Z | 2021-10-03T10:41:36.000Z | Python/text_to_speech.py | BlackTimber-Labs/DemoPr | 6495b5307323ce17be5071006f1de90a1120edf4 | [
"MIT"
] | 102 | 2021-10-01T14:49:50.000Z | 2021-10-31T17:30:15.000Z | Python/text_to_speech.py | BlackTimber-Labs/DemoPr | 6495b5307323ce17be5071006f1de90a1120edf4 | [
"MIT"
] | 88 | 2021-10-01T14:28:10.000Z | 2021-10-31T12:02:42.000Z | # Import the gTTS module for text
# to speech conversion
from gtts import gTTS
# This module is imported so that we can
# play the converted audio
from playsound import playsound
# It is a text value that we want to convert to audio
text_val = 'Welcome to hacktoberfest 21.Hacktoberfest, in its 8t... | 37.814815 | 313 | 0.740451 | # Import the gTTS module for text
# to speech conversion
from gtts import gTTS
# This module is imported so that we can
# play the converted audio
from playsound import playsound
# It is a text value that we want to convert to audio
text_val = 'Welcome to hacktoberfest 21.Hacktoberfest, in its 8t... | 0 | 0 | 0 |
f224bda332d1ba774feb2b9787bb81d6d7f8b0a1 | 384 | py | Python | pytmc/__init__.py | jsheppard95/pytmc | d9383d104393d67df54f5c43cb6a2d552405d5f8 | [
"BSD-3-Clause-LBNL"
] | null | null | null | pytmc/__init__.py | jsheppard95/pytmc | d9383d104393d67df54f5c43cb6a2d552405d5f8 | [
"BSD-3-Clause-LBNL"
] | null | null | null | pytmc/__init__.py | jsheppard95/pytmc | d9383d104393d67df54f5c43cb6a2d552405d5f8 | [
"BSD-3-Clause-LBNL"
] | null | null | null | import logging
from ._version import get_versions # noqa
from .xml_obj import Symbol, DataType, SubItem # noqa
from .xml_collector import TmcFile # noqa
from . import epics # noqa
logger = logging.getLogger(__name__)
__version__ = get_versions()['version']
del get_versions
__all__ = [
'DataType',
'SubI... | 17.454545 | 54 | 0.684896 | import logging
from ._version import get_versions # noqa
from .xml_obj import Symbol, DataType, SubItem # noqa
from .xml_collector import TmcFile # noqa
from . import epics # noqa
logger = logging.getLogger(__name__)
__version__ = get_versions()['version']
del get_versions
__all__ = [
'DataType',
'SubI... | 0 | 0 | 0 |
9d7b0b014026c589a321d25b4e6588f897fcd81c | 405 | py | Python | app/schemas/pokemon.py | dmontag23/pokedex-api | b16b25493a08698f617b8afa2bd4f14b2bfc21e6 | [
"MIT"
] | null | null | null | app/schemas/pokemon.py | dmontag23/pokedex-api | b16b25493a08698f617b8afa2bd4f14b2bfc21e6 | [
"MIT"
] | null | null | null | app/schemas/pokemon.py | dmontag23/pokedex-api | b16b25493a08698f617b8afa2bd4f14b2bfc21e6 | [
"MIT"
] | null | null | null | from pydantic import BaseModel
| 21.315789 | 59 | 0.493827 | from pydantic import BaseModel
class Pokemon(BaseModel):
name: str
description: str
habitat: str
isLegendary: str
class Config:
schema_extra = {
"example": {
"name": "mewtwo",
"description": "I am mewtwo hear me roar!",
"habitat"... | 0 | 350 | 23 |
c065834fb36e57bb45b56bc2d41ed8afa0ca7ba6 | 15,194 | py | Python | tests/test_plot.py | chrisburr/hist | d10132ab8d03f41152f0b934a18291ce699453b2 | [
"BSD-3-Clause"
] | null | null | null | tests/test_plot.py | chrisburr/hist | d10132ab8d03f41152f0b934a18291ce699453b2 | [
"BSD-3-Clause"
] | null | null | null | tests/test_plot.py | chrisburr/hist | d10132ab8d03f41152f0b934a18291ce699453b2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from hist import Hist, NamedHist, axis
import pytest
import numpy as np
unp = pytest.importorskip("uncertainties.unumpy")
plt = pytest.importorskip("matplotlib.pyplot")
def test_general_plot1d():
"""
Test general plot1d -- whether 1d-Hist can be plotted properly.
"""
h = His... | 25.97265 | 87 | 0.561735 | # -*- coding: utf-8 -*-
from hist import Hist, NamedHist, axis
import pytest
import numpy as np
unp = pytest.importorskip("uncertainties.unumpy")
plt = pytest.importorskip("matplotlib.pyplot")
def test_general_plot1d():
"""
Test general plot1d -- whether 1d-Hist can be plotted properly.
"""
h = His... | 344 | 0 | 54 |
6a2d2f548e7bfb36954f0ec0ef6f275ccfc9aa16 | 1,966 | py | Python | resources/PTZgrid/calcInitialCond.py | sebalander/sebaPhD | 0260094bd5143843ef372ce52aceb568834f90f4 | [
"BSD-3-Clause"
] | 6 | 2017-10-03T15:10:14.000Z | 2020-08-06T06:39:14.000Z | resources/PTZgrid/calcInitialCond.py | sebalander/sebaPhD | 0260094bd5143843ef372ce52aceb568834f90f4 | [
"BSD-3-Clause"
] | 1 | 2017-02-09T21:13:13.000Z | 2017-02-09T21:13:13.000Z | resources/PTZgrid/calcInitialCond.py | sebalander/sebaPhD | 0260094bd5143843ef372ce52aceb568834f90f4 | [
"BSD-3-Clause"
] | 4 | 2017-02-09T19:46:00.000Z | 2019-11-21T12:47:55.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 20 20:21:33 2016
generate the camera's pose conditions by hand
@author: sebalander
"""
# %%
import cv2
import numpy as np
import numpy.linalg as lin
from scipy.linalg import sqrtm, inv
import matplotlib.pyplot as plt
# %%
tVecFile = "PTZsheetTvecInitial.npy"
rVecFile ... | 21.844444 | 72 | 0.61648 | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 20 20:21:33 2016
generate the camera's pose conditions by hand
@author: sebalander
"""
# %%
import cv2
import numpy as np
import numpy.linalg as lin
from scipy.linalg import sqrtm, inv
import matplotlib.pyplot as plt
# %%
tVecFile = "PTZsheetTvecInitial.npy"
rVecFile ... | 0 | 0 | 0 |
b6dd96934dde46ba7c8e268255f6ccb3b47bf7e8 | 985 | py | Python | setup.py | MrIncredibuell/clerius | e3f482754892ae32b3862d2a283b54d4ed955b9a | [
"MIT"
] | null | null | null | setup.py | MrIncredibuell/clerius | e3f482754892ae32b3862d2a283b54d4ed955b9a | [
"MIT"
] | null | null | null | setup.py | MrIncredibuell/clerius | e3f482754892ae32b3862d2a283b54d4ed955b9a | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="clericus",
version="0.0.3a27",
author="Joseph L Buell V",
author_email="jlrbuellv@gmail.com",
description=
"An async webserver focused on being predictable and self documenting.",
... | 28.970588 | 76 | 0.59797 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="clericus",
version="0.0.3a27",
author="Joseph L Buell V",
author_email="jlrbuellv@gmail.com",
description=
"An async webserver focused on being predictable and self documenting.",
... | 0 | 0 | 0 |
b98e6632fd9bb96d3dde1a83e1c4c80e452a716a | 1,433 | py | Python | test/make_global_settings/env-wrapper/gyptest-wrapper.py | Herjar/gyp | 4d467626b0b9f59a85fb81ca4d7ea9eca99b9d8f | [
"BSD-3-Clause"
] | 75 | 2015-02-03T14:54:27.000Z | 2022-03-24T06:44:38.000Z | test/make_global_settings/env-wrapper/gyptest-wrapper.py | Herjar/gyp | 4d467626b0b9f59a85fb81ca4d7ea9eca99b9d8f | [
"BSD-3-Clause"
] | 3 | 2016-08-22T10:35:24.000Z | 2019-07-16T19:47:20.000Z | test/make_global_settings/env-wrapper/gyptest-wrapper.py | Herjar/gyp | 4d467626b0b9f59a85fb81ca4d7ea9eca99b9d8f | [
"BSD-3-Clause"
] | 43 | 2015-02-02T04:26:11.000Z | 2021-09-07T06:06:58.000Z | #!/usr/bin/env python
# Copyright (c) 2013 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Verifies *_wrapper in environment.
"""
import os
import sys
import TestGyp
print "This test is currently disabled: https://crbug.com/4... | 28.66 | 79 | 0.651779 | #!/usr/bin/env python
# Copyright (c) 2013 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Verifies *_wrapper in environment.
"""
import os
import sys
import TestGyp
print "This test is currently disabled: https://crbug.com/4... | 0 | 0 | 0 |