hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ee7d13ac1bfb50aa14e3d432688e96e955f612d9 | 1,615 | py | Python | scripts/python3-shell-job-example.py | pfeilbr/aws-glue-playground | 52648d527a03e32ae1cc6e2f9fcf418e0875021e | [
"MIT"
] | null | null | null | scripts/python3-shell-job-example.py | pfeilbr/aws-glue-playground | 52648d527a03e32ae1cc6e2f9fcf418e0875021e | [
"MIT"
] | null | null | null | scripts/python3-shell-job-example.py | pfeilbr/aws-glue-playground | 52648d527a03e32ae1cc6e2f9fcf418e0875021e | [
"MIT"
] | null | null | null | import datetime
import time
import boto3
import sys
import os
import importlib
print('sys.argv:\n{}\n\n'.format(sys.argv))
print('os.environ:\n{}\n\n'.format(os.environ))
# only run the following if running in aws glue environment (not availble locally)
if 'GLUE_INSTALLATION' in os.environ:
aws_glue_utils = impor... | 33.645833 | 82 | 0.712693 | 227 | 1,615 | 4.735683 | 0.30837 | 0.08186 | 0.084651 | 0.016744 | 0.093023 | 0.053953 | 0.053953 | 0 | 0 | 0 | 0 | 0.009339 | 0.138081 | 1,615 | 47 | 83 | 34.361702 | 0.762931 | 0.049536 | 0 | 0 | 0 | 0 | 0.2394 | 0.028702 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.257143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ee7f1ffa3ae65649a2137010308390975957d2f4 | 7,570 | py | Python | magentoclient.py | smileinnovation/snips-magento-skill | c8fe2d1615fce688bcad9258560895a5798c03c2 | [
"Apache-2.0"
] | null | null | null | magentoclient.py | smileinnovation/snips-magento-skill | c8fe2d1615fce688bcad9258560895a5798c03c2 | [
"Apache-2.0"
] | null | null | null | magentoclient.py | smileinnovation/snips-magento-skill | c8fe2d1615fce688bcad9258560895a5798c03c2 | [
"Apache-2.0"
] | null | null | null | import requests
import time
CLIENT_TOKEN_URI = "rest/V1/integration/customer/token"
GET_CART_URI = "rest/default/V1/carts/mine"
GET_CART_ITEM_URI = "rest/default/V1/carts/mine/items"
ADD_TO_CART_URI = "rest/default/V1/carts/mine/items"
ME_URI = "rest/default/V1/customers/me"
DELETE_ITEM_URI = "rest/default/V1/carts/mi... | 36.926829 | 155 | 0.634346 | 897 | 7,570 | 5.004459 | 0.209588 | 0.03787 | 0.024059 | 0.030074 | 0.363555 | 0.278458 | 0.23591 | 0.185565 | 0.138784 | 0.052573 | 0 | 0.009434 | 0.25786 | 7,570 | 204 | 156 | 37.107843 | 0.789605 | 0.113078 | 0 | 0.164286 | 0 | 0 | 0.108436 | 0.071194 | 0 | 0 | 0 | 0 | 0 | 1 | 0.128571 | false | 0.035714 | 0.014286 | 0.028571 | 0.278571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ee810690b40aba06e4d511080b16348fc6e69b8a | 533 | py | Python | problem_3/problem_3.py | CaioTeixeira95/Euler | 90e98f4110b7e6dc7d36f53eea0b22cf455ac005 | [
"MIT"
] | null | null | null | problem_3/problem_3.py | CaioTeixeira95/Euler | 90e98f4110b7e6dc7d36f53eea0b22cf455ac005 | [
"MIT"
] | null | null | null | problem_3/problem_3.py | CaioTeixeira95/Euler | 90e98f4110b7e6dc7d36f53eea0b22cf455ac005 | [
"MIT"
] | null | null | null | import math
# A function to print all prime factors of
# a given number n
def prime_factor(n):
# Print the number of two's that divide n
while n % 2 == 0:
n = n / 2
# n must be odd at this point
# so a skip of 2 ( i = i + 2) can be used
for i in range(3, int(math.sqrt(n)) + 1, 2):
... | 20.5 | 49 | 0.553471 | 97 | 533 | 3.020619 | 0.505155 | 0.020478 | 0.081911 | 0.088737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.067449 | 0.360225 | 533 | 25 | 50 | 21.32 | 0.791789 | 0.474672 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.2 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ee811e9426fe3dcfed1e5b99abbfc02ac9fd2eea | 8,038 | py | Python | ppdet/modeling/architectures/centernet.py | ZeHuiGong/AFSM | 54af2f072071779789ba0baa4e4270a1403fd0dd | [
"Apache-2.0"
] | 27 | 2020-12-07T10:46:39.000Z | 2021-08-01T08:56:33.000Z | ppdet/modeling/architectures/centernet.py | ZeHuiGong/AFSM | 54af2f072071779789ba0baa4e4270a1403fd0dd | [
"Apache-2.0"
] | 4 | 2020-12-18T08:06:15.000Z | 2021-08-01T02:54:50.000Z | ppdet/modeling/architectures/centernet.py | ZeHuiGong/AFSM | 54af2f072071779789ba0baa4e4270a1403fd0dd | [
"Apache-2.0"
] | 4 | 2020-12-18T04:37:42.000Z | 2020-12-31T02:08:33.000Z | # AUTHOR: Zehui Gong
# DATE: 2020/6/16
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import OrderedDict
import copy
from paddle import fluid
from paddle.fluid.param_attr import ParamAttr
from paddle.fluid.initializer import Xavier, Const... | 41.647668 | 116 | 0.58323 | 965 | 8,038 | 4.574093 | 0.219689 | 0.043498 | 0.028546 | 0.054372 | 0.263706 | 0.22406 | 0.181921 | 0.142501 | 0.110784 | 0.083371 | 0 | 0.01913 | 0.291117 | 8,038 | 192 | 117 | 41.864583 | 0.755528 | 0.061707 | 0 | 0.063694 | 0 | 0 | 0.107472 | 0 | 0 | 0 | 0 | 0 | 0.006369 | 1 | 0.063694 | false | 0 | 0.089172 | 0.012739 | 0.242038 | 0.006369 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ee81731e37bb731eaceac3e8565f9dcaff9847fa | 55,219 | py | Python | layers.py | kiranscaria/keras_layers | 1934c4c7a13bfc0be40b224fe586d1c0ffa9f18d | [
"MIT"
] | null | null | null | layers.py | kiranscaria/keras_layers | 1934c4c7a13bfc0be40b224fe586d1c0ffa9f18d | [
"MIT"
] | null | null | null | layers.py | kiranscaria/keras_layers | 1934c4c7a13bfc0be40b224fe586d1c0ffa9f18d | [
"MIT"
] | null | null | null |
import numpy as np
import tensorflow as tf
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.layers import Layer, Lambda
from tensorflow.python.keras.layers import InputSpec
from tensorflow.python.ops import nn_ops
from tensorflow.python.keras import initializers, regularizers, constraints... | 39.869314 | 146 | 0.559264 | 6,467 | 55,219 | 4.615123 | 0.090459 | 0.027139 | 0.013603 | 0.011392 | 0.536521 | 0.493701 | 0.456611 | 0.437513 | 0.409201 | 0.392515 | 0 | 0.022491 | 0.335718 | 55,219 | 1,384 | 147 | 39.898121 | 0.791173 | 0.176878 | 0 | 0.541758 | 0 | 0 | 0.02182 | 0.000495 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079121 | false | 0 | 0.008791 | 0.004396 | 0.156044 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ee88b24eca82ddcab181129272a9f62d15dd7605 | 36,064 | py | Python | external/pyvista/python/pyvista/spectra.py | dnidever/apogee | 83ad7496a0b4193df9e2c01b06dc36cb879ea6c1 | [
"BSD-3-Clause"
] | 5 | 2019-04-11T13:35:24.000Z | 2019-11-14T06:12:51.000Z | external/pyvista/python/pyvista/spectra.py | dnidever/apogee | 83ad7496a0b4193df9e2c01b06dc36cb879ea6c1 | [
"BSD-3-Clause"
] | null | null | null | external/pyvista/python/pyvista/spectra.py | dnidever/apogee | 83ad7496a0b4193df9e2c01b06dc36cb879ea6c1 | [
"BSD-3-Clause"
] | 5 | 2018-09-20T22:07:43.000Z | 2021-01-15T07:13:38.000Z | import matplotlib
import matplotlib.pyplot as plt
import os
import pdb
import pickle
import copy
import scipy.signal
import scipy.interpolate
import numpy as np
from astropy.modeling import models, fitting
from astropy.nddata import CCDData, StdDevUncertainty
from astropy.io import ascii, fits
from astropy.convolution ... | 41.357798 | 143 | 0.519188 | 4,870 | 36,064 | 3.830185 | 0.113347 | 0.010293 | 0.01544 | 0.008256 | 0.413499 | 0.348362 | 0.293894 | 0.261298 | 0.230955 | 0.188013 | 0 | 0.029563 | 0.33313 | 36,064 | 871 | 144 | 41.405281 | 0.746029 | 0.086957 | 0 | 0.284058 | 0 | 0.004348 | 0.061174 | 0.00289 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036232 | false | 0.005797 | 0.024638 | 0 | 0.085507 | 0.046377 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ee8a8f31356455e4042f8f9fd8906eb324b18cec | 3,165 | py | Python | countries/models.py | Valuehorizon/valuehorizon-countries | 04398f518ef5977cf4ccd2c2bffd7955d6a6e095 | [
"MIT"
] | 3 | 2015-05-27T17:11:28.000Z | 2016-07-08T18:01:28.000Z | countries/models.py | Valuehorizon/valuehorizon-countries | 04398f518ef5977cf4ccd2c2bffd7955d6a6e095 | [
"MIT"
] | 5 | 2020-02-11T22:27:18.000Z | 2021-12-13T19:40:25.000Z | countries/models.py | Valuehorizon/valuehorizon-countries | 04398f518ef5977cf4ccd2c2bffd7955d6a6e095 | [
"MIT"
] | null | null | null | from django.db import models
from forex.models import Currency
class Country(models.Model):
"""
Represents a country, such as the US, or Mexico.
"""
name = models.CharField(max_length=255, blank=True, null=True, help_text="Official Country name (ISO Full name)")
currency = models.ManyToManyField(... | 31.969697 | 133 | 0.663507 | 389 | 3,165 | 5.231362 | 0.282776 | 0.081081 | 0.079607 | 0.106143 | 0.418673 | 0.329238 | 0.281572 | 0.246192 | 0.205897 | 0.102211 | 0 | 0.016888 | 0.214218 | 3,165 | 98 | 134 | 32.295918 | 0.801367 | 0.078041 | 0 | 0.327869 | 0 | 0 | 0.17216 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0 | 0.032787 | 0.065574 | 0.655738 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ee8bfc979ac28197031d9f486d5e391436cd294c | 920 | py | Python | export.py | philtgun/mediaeval-emothemes-explorer | 647fe527b719a9be72265f2855d890823c70e8ab | [
"MIT"
] | 1 | 2021-11-25T08:08:33.000Z | 2021-11-25T08:08:33.000Z | export.py | philtgun/mediaeval-emothemes-explorer | 647fe527b719a9be72265f2855d890823c70e8ab | [
"MIT"
] | null | null | null | export.py | philtgun/mediaeval-emothemes-explorer | 647fe527b719a9be72265f2855d890823c70e8ab | [
"MIT"
] | null | null | null | import argparse
from pathlib import Path
import json
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib import rcParams
def main(input_file: Path, output_file: Path) -> None:
with input_file.open('r') as fp:
data = json.load(fp)
plt.figure(figsize=(20, 13))
rcParams['font.fami... | 32.857143 | 119 | 0.695652 | 132 | 920 | 4.69697 | 0.545455 | 0.048387 | 0.054839 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011628 | 0.158696 | 920 | 27 | 120 | 34.074074 | 0.789406 | 0.017391 | 0 | 0 | 0 | 0 | 0.16408 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.285714 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ee8f0359e2f8322c643b0be99995a5abb3f922f2 | 3,436 | py | Python | tests/test_cascade_call.py | xyloon/ptrait | 88186f77feaf921c44633b1693fed1e124f99c76 | [
"MIT"
] | null | null | null | tests/test_cascade_call.py | xyloon/ptrait | 88186f77feaf921c44633b1693fed1e124f99c76 | [
"MIT"
] | 1 | 2019-04-20T08:22:04.000Z | 2019-04-20T08:22:04.000Z | tests/test_cascade_call.py | xyloon/ptrait | 88186f77feaf921c44633b1693fed1e124f99c76 | [
"MIT"
] | null | null | null | from ptrait import TraitExtends
import copy
from pytest_assertutil import assert_equal
class IntfA:
@classmethod
@TraitExtends.mark
def a_classmethodA(cls, *args, **kwargs):
kwa = copy.deepcopy(kwargs)
kwa['a'] = kwargs.get('a', 0) + 1
return args, kwa
@classmethod
@Trait... | 21.746835 | 49 | 0.568102 | 399 | 3,436 | 4.744361 | 0.112782 | 0.114105 | 0.120444 | 0.126783 | 0.690438 | 0.657686 | 0.586371 | 0.586371 | 0.586371 | 0.586371 | 0 | 0.013387 | 0.282596 | 3,436 | 157 | 50 | 21.88535 | 0.754564 | 0 | 0 | 0.661157 | 0 | 0 | 0.009604 | 0 | 0 | 0 | 0 | 0 | 0.082645 | 1 | 0.173554 | false | 0.008264 | 0.024793 | 0 | 0.322314 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c988bda85797c24c33439e544dc67c890a456828 | 7,220 | py | Python | life_line_chart/GedcomParsing.py | mustaqimM/life_line_chart | a9bbbbdeb5568aa0cc3b3b585337a3d655f4b2d6 | [
"MIT"
] | null | null | null | life_line_chart/GedcomParsing.py | mustaqimM/life_line_chart | a9bbbbdeb5568aa0cc3b3b585337a3d655f4b2d6 | [
"MIT"
] | null | null | null | life_line_chart/GedcomParsing.py | mustaqimM/life_line_chart | a9bbbbdeb5568aa0cc3b3b585337a3d655f4b2d6 | [
"MIT"
] | null | null | null | import datetime
import re
import os
import logging
import json
_months = [
"JAN",
"FEB",
"MAR",
"APR",
"MAY",
"JUN",
"JUL",
"AUG",
"SEP",
"OCT",
"NOV",
"DEC"
]
_precision = [
'ABT',
'CAL',
'EST',
'AFT',
'BEF'
]
_date_expr = re.compile('(?:(' + '|'.... | 31.666667 | 138 | 0.570083 | 920 | 7,220 | 4.207609 | 0.181522 | 0.0558 | 0.080599 | 0.068199 | 0.382847 | 0.251356 | 0.215707 | 0.097649 | 0.079049 | 0.0248 | 0 | 0.018804 | 0.307618 | 7,220 | 227 | 139 | 31.806167 | 0.755551 | 0.071053 | 0 | 0.091892 | 0 | 0 | 0.116276 | 0 | 0 | 0 | 0 | 0.004405 | 0 | 1 | 0.016216 | false | 0.005405 | 0.027027 | 0 | 0.059459 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c98a4eea5dbbc32238c561ae29365092efd245e1 | 4,020 | py | Python | lib/HimalayanDownloader.py | oldfatcrab/Himalayan | 8b879036dd33c406b48306f560f9df85c989908b | [
"MIT"
] | null | null | null | lib/HimalayanDownloader.py | oldfatcrab/Himalayan | 8b879036dd33c406b48306f560f9df85c989908b | [
"MIT"
] | null | null | null | lib/HimalayanDownloader.py | oldfatcrab/Himalayan | 8b879036dd33c406b48306f560f9df85c989908b | [
"MIT"
] | null | null | null | from HTMLParser import HTMLParser
import json
from os import makedirs
from os.path import abspath, dirname, exists, join, normpath
import pycurl
import Queue
import re
import requests
import tempfile
import urllib2
class HimalayanDownloader:
def __init__(self, eBookUrl, logger):
self._logger = logger
... | 39.029126 | 95 | 0.573632 | 410 | 4,020 | 5.487805 | 0.341463 | 0.048889 | 0.033333 | 0.017778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007813 | 0.299502 | 4,020 | 102 | 96 | 39.411765 | 0.791193 | 0 | 0 | 0.063158 | 0 | 0 | 0.085096 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.189474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c98cba25f4d6645c123d4fc4d2170d2512dffa18 | 820 | py | Python | dl/state.py | eric-erki/Prometheus | def07745ebcbe08ebb2fbba124bd07873edc8c9c | [
"MIT"
] | null | null | null | dl/state.py | eric-erki/Prometheus | def07745ebcbe08ebb2fbba124bd07873edc8c9c | [
"MIT"
] | null | null | null | dl/state.py | eric-erki/Prometheus | def07745ebcbe08ebb2fbba124bd07873edc8c9c | [
"MIT"
] | null | null | null | from collections import defaultdict
from prometheus.utils.misc import FrozenClass
class RunnerState(FrozenClass):
"""
An object that is used to pass internal state during train/valid/infer.
"""
def __init__(self, **kwargs):
# data
self.device = None
self.input = None
s... | 22.777778 | 75 | 0.570732 | 96 | 820 | 4.78125 | 0.5625 | 0.104575 | 0.061002 | 0.095861 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009294 | 0.343902 | 820 | 35 | 76 | 23.428571 | 0.843866 | 0.121951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.095238 | 0 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c991092ab3a5e6ba800ee09dfef81c31b1bd3d3c | 1,262 | py | Python | t2t_bert/pretrain_finetuning/test_green_sample.py | yyht/bert | 480c909e0835a455606e829310ff949c9dd23549 | [
"Apache-2.0"
] | 34 | 2018-12-19T01:00:57.000Z | 2021-03-26T09:36:37.000Z | t2t_bert/pretrain_finetuning/test_green_sample.py | yyht/bert | 480c909e0835a455606e829310ff949c9dd23549 | [
"Apache-2.0"
] | 11 | 2018-12-25T03:37:59.000Z | 2021-08-25T14:43:58.000Z | t2t_bert/pretrain_finetuning/test_green_sample.py | yyht/bert | 480c909e0835a455606e829310ff949c9dd23549 | [
"Apache-2.0"
] | 9 | 2018-12-27T08:00:44.000Z | 2020-06-08T03:05:14.000Z | #-*- coding: utf-8 -*-
import requests
import numpy as np
import json
import concurrent.futures
import codecs
with codecs.open('./test_1.txt', 'r', 'utf-8') as frobj:
input1 = frobj.read().strip()
with codecs.open('./candidate_1.txt', 'r', 'utf-8') as frobj:
candidate1 = frobj.read().strip()
with codecs.open('./t... | 25.755102 | 107 | 0.698891 | 169 | 1,262 | 5.065089 | 0.420118 | 0.023364 | 0.065421 | 0.037383 | 0.247664 | 0.247664 | 0.231308 | 0.226636 | 0.226636 | 0.226636 | 0 | 0.045662 | 0.13233 | 1,262 | 48 | 108 | 26.291667 | 0.736073 | 0.01664 | 0 | 0.111111 | 0 | 0 | 0.23629 | 0.045161 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.138889 | 0 | 0.25 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c993d47a6ac0a9f61ec7fa06b4e0b59229dbea51 | 527 | py | Python | tests/resources/greeting_resoource.py | NoeCruzMW/zpy-flask-msc | 9c2fdcc7e7bdbe3eed4522bfc68afcc00ad5994a | [
"MIT"
] | null | null | null | tests/resources/greeting_resoource.py | NoeCruzMW/zpy-flask-msc | 9c2fdcc7e7bdbe3eed4522bfc68afcc00ad5994a | [
"MIT"
] | null | null | null | tests/resources/greeting_resoource.py | NoeCruzMW/zpy-flask-msc | 9c2fdcc7e7bdbe3eed4522bfc68afcc00ad5994a | [
"MIT"
] | null | null | null | from zpy.api.resource import ZResource, HTTP_METHODS
class GreetingResource(ZResource):
blocked_methods = [
HTTP_METHODS.POST,
HTTP_METHODS.DELETE,
HTTP_METHODS.PATCH,
HTTP_METHODS.PUT,
]
def __init__(self, **kwargs) -> None:
super().__init__()
def get(self):... | 23.954545 | 71 | 0.601518 | 60 | 527 | 5.016667 | 0.65 | 0.182724 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.28463 | 527 | 21 | 72 | 25.095238 | 0.798408 | 0 | 0 | 0 | 0 | 0 | 0.037951 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.0625 | 0 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c998cff8c1a24f25ddb54c9444ec21d5f87c9ecc | 1,762 | py | Python | brainforest/s_create_inputs.py | binello7/swisssmartfarming | 40eef7b1726bc47d320ab12507479d836592138b | [
"MIT"
] | 2 | 2020-08-03T10:05:14.000Z | 2021-03-30T13:18:39.000Z | brainforest/s_create_inputs.py | binello7/swisssmartfarming | 40eef7b1726bc47d320ab12507479d836592138b | [
"MIT"
] | 6 | 2021-03-19T12:41:16.000Z | 2021-09-26T21:21:40.000Z | brainforest/s_create_inputs.py | binello7/swisssmartfarming | 40eef7b1726bc47d320ab12507479d836592138b | [
"MIT"
] | 3 | 2020-05-13T23:57:04.000Z | 2020-06-18T09:37:17.000Z | from data_interface import Dataset, Data_Interface
from utils import functions as ufunc
import geopandas as gpd
import matplotlib.pyplot as plt
import numpy as np
import os
import rasterio as rio
import rasterio.mask as riom
import shapely
from IPython import embed
import sys
sys.path.append('/home/seba/Projects/swis... | 28.885246 | 95 | 0.746311 | 257 | 1,762 | 4.875486 | 0.33463 | 0.043097 | 0.062251 | 0.09577 | 0.269753 | 0.237829 | 0.237829 | 0.237829 | 0.237829 | 0.164405 | 0 | 0.041885 | 0.132804 | 1,762 | 60 | 96 | 29.366667 | 0.778141 | 0.15437 | 0 | 0 | 0 | 0 | 0.32861 | 0.30027 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.275 | 0 | 0.275 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c99a5abd3c9530802736be82134167242a054f72 | 574 | py | Python | profiles_api/views.py | Vinutha2905/Python_RestAPI | 4c185d37d32c3b5f00154f4be1b4ad0d2fab6d66 | [
"MIT"
] | null | null | null | profiles_api/views.py | Vinutha2905/Python_RestAPI | 4c185d37d32c3b5f00154f4be1b4ad0d2fab6d66 | [
"MIT"
] | null | null | null | profiles_api/views.py | Vinutha2905/Python_RestAPI | 4c185d37d32c3b5f00154f4be1b4ad0d2fab6d66 | [
"MIT"
] | null | null | null | from rest_framework.views import APIView
from rest_framework.response import Response
class HelloApiView(APIView):
"""TEST API VIEW"""
def get(self, request, format=None):
"""Returns a list of API features"""
an_apiview=[
'Uses HTTP methods as function (get,post, put, delete, patc... | 31.888889 | 74 | 0.642857 | 72 | 574 | 5.055556 | 0.736111 | 0.074176 | 0.093407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.264808 | 574 | 17 | 75 | 33.764706 | 0.862559 | 0.076655 | 0 | 0 | 0 | 0 | 0.39499 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c99e1e3eaa5ae563327d390c5f49ea33d97c4ae8 | 911 | py | Python | forumdb.py | fatih-iver/Intro-to-Relational-Databases | 28528132378436d6dd1f1bdec96d1e7e285b4e4d | [
"MIT"
] | null | null | null | forumdb.py | fatih-iver/Intro-to-Relational-Databases | 28528132378436d6dd1f1bdec96d1e7e285b4e4d | [
"MIT"
] | null | null | null | forumdb.py | fatih-iver/Intro-to-Relational-Databases | 28528132378436d6dd1f1bdec96d1e7e285b4e4d | [
"MIT"
] | null | null | null | # "Database code" for the DB Forum.
import psycopg2
import bleach
DNAME = "forum"
#POSTS = [("This is the first post.", datetime.datetime.now())]
def get_posts():
"""Return all posts from the 'database', most recent first."""
db = psycopg2.connect(database=DNAME)
c = db.cursor()
c.execute("select content,... | 24.621622 | 71 | 0.675082 | 130 | 911 | 4.7 | 0.392308 | 0.072013 | 0.062193 | 0.055646 | 0.533552 | 0.533552 | 0.533552 | 0.533552 | 0.533552 | 0.533552 | 0 | 0.003968 | 0.170143 | 911 | 36 | 72 | 25.305556 | 0.804233 | 0.485181 | 0 | 0.375 | 0 | 0 | 0.18931 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.3125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9a08b6c821aa60ac0ac2219e490a38ed9d96387 | 19,553 | py | Python | src/apps/Door.py | sdunlap-afit/hilics | ae06113365817e4240fe894d3dfd784991c78102 | [
"Apache-2.0"
] | 2 | 2019-09-27T15:45:46.000Z | 2021-07-28T15:02:21.000Z | src/apps/Door.py | sdunlap-afit/hilics | ae06113365817e4240fe894d3dfd784991c78102 | [
"Apache-2.0"
] | 3 | 2020-09-25T13:40:56.000Z | 2020-11-03T20:38:32.000Z | src/apps/Door.py | sdunlap-afit/hilics | ae06113365817e4240fe894d3dfd784991c78102 | [
"Apache-2.0"
] | 2 | 2020-05-29T16:58:55.000Z | 2021-04-27T23:52:17.000Z | #!/usr/bin/env python3
#
# IP: HILICS
#
# 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 i... | 28.012894 | 138 | 0.646499 | 3,018 | 19,553 | 4.054672 | 0.10603 | 0.080902 | 0.060145 | 0.054915 | 0.626706 | 0.588461 | 0.520879 | 0.476342 | 0.423143 | 0.39781 | 0 | 0.033263 | 0.205084 | 19,553 | 697 | 139 | 28.053085 | 0.754037 | 0.066384 | 0 | 0.259947 | 0 | 0 | 0.034856 | 0.002375 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066313 | false | 0 | 0.026525 | 0 | 0.098143 | 0.005305 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9a1e099a815ae4cb966de4d518a0c2e63b69ddd | 1,925 | py | Python | java/run.py | foxtrotzulu94/LanguageBenchmarkGame | 29c92c47c860d426409047a8408eaa52284a0cff | [
"MIT"
] | null | null | null | java/run.py | foxtrotzulu94/LanguageBenchmarkGame | 29c92c47c860d426409047a8408eaa52284a0cff | [
"MIT"
] | null | null | null | java/run.py | foxtrotzulu94/LanguageBenchmarkGame | 29c92c47c860d426409047a8408eaa52284a0cff | [
"MIT"
] | null | null | null | #!/usr/bin/env python
output_name = './build/libs/java.jar'
def setup():
import os, datetime, subprocess
if os.path.exists(os.path.join(os.getcwd(), "setup.log")):
print("'setup.log' exists. Java implementation setup correctly")
return
print("Watch for Errors - Requires Java SDK and Runti... | 34.375 | 117 | 0.61974 | 249 | 1,925 | 4.722892 | 0.457831 | 0.02551 | 0.020408 | 0.066327 | 0.123299 | 0.123299 | 0.123299 | 0.081633 | 0 | 0 | 0 | 0.002716 | 0.234805 | 1,925 | 55 | 118 | 35 | 0.795655 | 0.083117 | 0 | 0.105263 | 0 | 0 | 0.261092 | 0.011945 | 0 | 0 | 0 | 0 | 0.026316 | 1 | 0.078947 | false | 0 | 0.105263 | 0 | 0.210526 | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9a91a5cf9ffb0b7d6c657ce1005cb03ff51c2eb | 1,784 | py | Python | src/scse/modules/customer/demo_newsvendor_poisson_customer_order.py | bellmast/supply-chain-simulation-environment | af797c1d057e216184727fdd934ebd372d90f4d5 | [
"Apache-2.0"
] | 26 | 2021-06-23T00:58:25.000Z | 2022-03-29T19:41:18.000Z | src/scse/modules/customer/demo_newsvendor_poisson_customer_order.py | bellmast/supply-chain-simulation-environment | af797c1d057e216184727fdd934ebd372d90f4d5 | [
"Apache-2.0"
] | null | null | null | src/scse/modules/customer/demo_newsvendor_poisson_customer_order.py | bellmast/supply-chain-simulation-environment | af797c1d057e216184727fdd934ebd372d90f4d5 | [
"Apache-2.0"
] | 13 | 2021-06-23T09:16:38.000Z | 2022-03-22T20:01:19.000Z | """
An agent representing the (retail) customer behavior following a Poisson distribution for demand.
"""
import networkx as nx
from scse.api.module import Agent
import numpy as np
import logging
logger = logging.getLogger(__name__)
class PoissonCustomerOrder(Agent):
_DEFAULT_MAX_MEAN = 10
def __init__(self... | 35.68 | 98 | 0.623318 | 198 | 1,784 | 5.353535 | 0.469697 | 0.039623 | 0.059434 | 0.082075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003152 | 0.288677 | 1,784 | 49 | 99 | 36.408163 | 0.832151 | 0.178812 | 0 | 0 | 0 | 0 | 0.102406 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.117647 | 0.029412 | 0.352941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9ab0ef6affb1be12f6d367b89eb7c08b1fd954b | 2,340 | py | Python | time_to_get_rewards.py | GJuceviciute/MineRL-2020 | 095ca6598b6a58120dcc5dcee05c995fc58d540a | [
"MIT"
] | 4 | 2021-03-23T21:12:57.000Z | 2021-07-03T16:22:01.000Z | time_to_get_rewards.py | GJuceviciute/MineRL-2020 | 095ca6598b6a58120dcc5dcee05c995fc58d540a | [
"MIT"
] | null | null | null | time_to_get_rewards.py | GJuceviciute/MineRL-2020 | 095ca6598b6a58120dcc5dcee05c995fc58d540a | [
"MIT"
] | null | null | null | import numpy as np
import os
from utils import MINERL_DATA_ROOT, CUMULATIVE_REWARDS
import sys
import pandas
def time_to_rewards(data_set, trajectory):
"""
Takes a data_set and a trajectory, and returns times (in ticks) to achieve each cumulative reward (from the last
cumulative reward, not from... | 34.925373 | 117 | 0.624359 | 330 | 2,340 | 4.269697 | 0.251515 | 0.044713 | 0.034067 | 0.031228 | 0.185947 | 0.156139 | 0.100781 | 0.100781 | 0.056778 | 0.039745 | 0 | 0.009692 | 0.250427 | 2,340 | 66 | 118 | 35.454545 | 0.793615 | 0.132051 | 0 | 0 | 0 | 0 | 0.091568 | 0.011381 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.104167 | 0 | 0.166667 | 0.041667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9abcbc9f24259365718e0b6fb124db1e9b1a358 | 30,988 | py | Python | gsflow_prep/gsflow_model_prep.py | dgketchum/MT_RSense | 0048c1ccb1ff6e48bd630edd477f95ae29fea06d | [
"Apache-2.0"
] | null | null | null | gsflow_prep/gsflow_model_prep.py | dgketchum/MT_RSense | 0048c1ccb1ff6e48bd630edd477f95ae29fea06d | [
"Apache-2.0"
] | null | null | null | gsflow_prep/gsflow_model_prep.py | dgketchum/MT_RSense | 0048c1ccb1ff6e48bd630edd477f95ae29fea06d | [
"Apache-2.0"
] | null | null | null | import os
import json
from copy import copy
from subprocess import call, Popen, PIPE, STDOUT
import time
import numpy as np
import pandas as pd
from pyproj import Transformer
import rasterio
import fiona
from affine import Affine
from shapely.geometry import shape
from scipy.ndimage.morphology import binary_erosion
fr... | 41.932341 | 108 | 0.538499 | 3,479 | 30,988 | 4.586663 | 0.169589 | 0.034468 | 0.014915 | 0.021307 | 0.297111 | 0.243216 | 0.191891 | 0.144137 | 0.110484 | 0.084978 | 0 | 0.016017 | 0.343197 | 30,988 | 738 | 109 | 41.98916 | 0.767995 | 0.027398 | 0 | 0.119643 | 0 | 0 | 0.075126 | 0.004153 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033929 | false | 0.001786 | 0.051786 | 0 | 0.094643 | 0.003571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9af346978608c3c30e9cd43ee6263e02cda79fe | 5,695 | py | Python | openstack_dashboard/dashboards/admin/rbac_policies/views.py | stackhpc/horizon | 0899f67657e0be62dd9e6be327c63bccb4607dc6 | [
"Apache-2.0"
] | 930 | 2015-01-04T08:06:03.000Z | 2022-03-13T18:47:13.000Z | openstack_dashboard/dashboards/admin/rbac_policies/views.py | stackhpc/horizon | 0899f67657e0be62dd9e6be327c63bccb4607dc6 | [
"Apache-2.0"
] | 26 | 2015-02-23T16:37:31.000Z | 2020-07-02T08:37:41.000Z | openstack_dashboard/dashboards/admin/rbac_policies/views.py | stackhpc/horizon | 0899f67657e0be62dd9e6be327c63bccb4607dc6 | [
"Apache-2.0"
] | 1,040 | 2015-01-01T18:48:28.000Z | 2022-03-19T08:35:18.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | 39.275862 | 78 | 0.657419 | 692 | 5,695 | 5.16763 | 0.239884 | 0.072707 | 0.042785 | 0.02349 | 0.321309 | 0.227349 | 0.183725 | 0.150727 | 0.032998 | 0.032998 | 0 | 0.000948 | 0.258999 | 5,695 | 144 | 79 | 39.548611 | 0.846446 | 0.097278 | 0 | 0.1875 | 0 | 0 | 0.149571 | 0.052457 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 0 | 0.464286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9b0a85450199612c6bc6f56c812cbb9f71f501d | 3,585 | py | Python | legacy/text_classification/utils.py | FrancisLiang/models-1 | e14d5bc1ab36d0dd11977f27cff54605bf99c945 | [
"Apache-2.0"
] | 4 | 2020-01-04T13:15:02.000Z | 2021-07-21T07:50:02.000Z | legacy/text_classification/utils.py | FrancisLiang/models-1 | e14d5bc1ab36d0dd11977f27cff54605bf99c945 | [
"Apache-2.0"
] | 2 | 2019-06-26T03:21:49.000Z | 2019-09-19T09:43:42.000Z | legacy/text_classification/utils.py | FrancisLiang/models-1 | e14d5bc1ab36d0dd11977f27cff54605bf99c945 | [
"Apache-2.0"
] | 3 | 2019-10-31T07:18:49.000Z | 2020-01-13T03:18:39.000Z | import logging
import os
import argparse
from collections import defaultdict
logger = logging.getLogger("paddle")
logger.setLevel(logging.INFO)
def parse_train_cmd():
parser = argparse.ArgumentParser(
description="PaddlePaddle text classification example.")
parser.add_argument(
"--nn_type",
... | 33.194444 | 80 | 0.577406 | 456 | 3,585 | 4.425439 | 0.309211 | 0.035679 | 0.067393 | 0.050545 | 0.453915 | 0.416254 | 0.416254 | 0.416254 | 0.399405 | 0.362735 | 0 | 0.004444 | 0.309623 | 3,585 | 107 | 81 | 33.504673 | 0.810909 | 0 | 0 | 0.37234 | 0 | 0 | 0.298466 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042553 | false | 0.031915 | 0.042553 | 0.021277 | 0.117021 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9b413225370fcaafee9296e6fca98be93952f44 | 2,188 | py | Python | cards/views.py | KrTG/CardLabeling | 8d267cf5d2dcc936005850a8f791115b3f716c92 | [
"Apache-2.0"
] | null | null | null | cards/views.py | KrTG/CardLabeling | 8d267cf5d2dcc936005850a8f791115b3f716c92 | [
"Apache-2.0"
] | null | null | null | cards/views.py | KrTG/CardLabeling | 8d267cf5d2dcc936005850a8f791115b3f716c92 | [
"Apache-2.0"
] | null | null | null | from .models import Card
from .helpers import fetch_unidentified, populate_db
from django.shortcuts import render, redirect
from django.http import Http404, HttpResponse
import json
def index(request):
next = fetch_unidentified()
if next:
return redirect('card', card_num=next)
else:
retur... | 30.388889 | 64 | 0.55713 | 241 | 2,188 | 4.958506 | 0.26971 | 0.05272 | 0.046862 | 0.030126 | 0.182427 | 0.135565 | 0.135565 | 0.135565 | 0.083682 | 0 | 0 | 0.006826 | 0.330439 | 2,188 | 71 | 65 | 30.816901 | 0.808874 | 0 | 0 | 0.285714 | 0 | 0 | 0.100548 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.089286 | 0 | 0.321429 | 0.017857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9b43f16dd23711b256eacbc743cd82a999578fd | 2,439 | py | Python | cptm/experiment_calculate_perplexity.py | egpbos/cptm | c5f310858c341040b4afd166cf628aeee6845159 | [
"Apache-2.0"
] | 13 | 2016-03-14T14:58:04.000Z | 2020-11-03T22:48:59.000Z | cptm/experiment_calculate_perplexity.py | egpbos/cptm | c5f310858c341040b4afd166cf628aeee6845159 | [
"Apache-2.0"
] | 5 | 2015-10-30T12:34:16.000Z | 2017-10-27T04:55:07.000Z | cptm/experiment_calculate_perplexity.py | egpbos/cptm | c5f310858c341040b4afd166cf628aeee6845159 | [
"Apache-2.0"
] | 3 | 2016-03-03T10:49:05.000Z | 2018-02-03T14:36:59.000Z | """Calculate opinion perplexity for different numbers of topics
Calclulate opinion perplexity for the test set as described in [Fang et al.
2012] section 5.1.1.
This script should be run after experiment_number_of_topics.py.
Usage: python cptm/experiment_calculate_perplexity.py /path/to/experiment.json.
"""
import p... | 33.410959 | 79 | 0.727347 | 321 | 2,439 | 5.398754 | 0.389408 | 0.025967 | 0.012118 | 0.01558 | 0.175995 | 0.110791 | 0.051933 | 0 | 0 | 0 | 0 | 0.006305 | 0.154572 | 2,439 | 72 | 80 | 33.875 | 0.834142 | 0.166052 | 0 | 0 | 0 | 0 | 0.14321 | 0.010864 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022222 | false | 0 | 0.111111 | 0 | 0.155556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9b5574ee7cafcbc4a7c1273ed0bb1bc35434615 | 819 | py | Python | Eulers method.py | pramotharun/Numerical-Methods-with-Python | bd5676bcc4ac5defd13608728df2387b5fdcdfcb | [
"MIT"
] | null | null | null | Eulers method.py | pramotharun/Numerical-Methods-with-Python | bd5676bcc4ac5defd13608728df2387b5fdcdfcb | [
"MIT"
] | null | null | null | Eulers method.py | pramotharun/Numerical-Methods-with-Python | bd5676bcc4ac5defd13608728df2387b5fdcdfcb | [
"MIT"
] | null | null | null | #Eulers method
import numpy as np
def dy(ynew,xnew,y,x,h):
dyvalue = y-x
return dyvalue
#Note: change the derivative function based on question!!!!!! Example: y-x
y0 = 0.5 #float(input"what is the y(0)?")
h = 0.1 #float(input"h?")
x_final = 0.3 #float(input"x_final")
#initiating input variables
x = 0
y ... | 19.5 | 76 | 0.543346 | 129 | 819 | 3.356589 | 0.418605 | 0.018476 | 0.046189 | 0.050808 | 0.060046 | 0.060046 | 0 | 0 | 0 | 0 | 0 | 0.026144 | 0.252747 | 819 | 41 | 77 | 19.97561 | 0.681373 | 0.304029 | 0 | 0.071429 | 0 | 0 | 0.090373 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.035714 | 0 | 0.107143 | 0.285714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9b764a791904b90c564bbc7b72661cf5b307b36 | 18,896 | py | Python | modules/network_dictionary_builder.py | shartzog/CovidCNN | 68bafe185c53f98b896ee01fdcf99f828f251036 | [
"MIT"
] | null | null | null | modules/network_dictionary_builder.py | shartzog/CovidCNN | 68bafe185c53f98b896ee01fdcf99f828f251036 | [
"MIT"
] | null | null | null | modules/network_dictionary_builder.py | shartzog/CovidCNN | 68bafe185c53f98b896ee01fdcf99f828f251036 | [
"MIT"
] | null | null | null | """
Contains Net and NetDictionary class for creating a random collection of CNN structures
or loading a previously created collection.
"""
from __future__ import division, print_function
from random import random
import os.path
import torch
from torch import nn
from torch import optim
from torch.nn import functional... | 48.953368 | 116 | 0.556467 | 2,157 | 18,896 | 4.651368 | 0.164117 | 0.007575 | 0.015947 | 0.009568 | 0.26971 | 0.224559 | 0.1516 | 0.102063 | 0.094488 | 0.08193 | 0 | 0.012007 | 0.338855 | 18,896 | 386 | 117 | 48.953368 | 0.791083 | 0.232536 | 0 | 0.166667 | 0 | 0.003876 | 0.152856 | 0.029101 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050388 | false | 0 | 0.065891 | 0 | 0.155039 | 0.01938 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9b7d5c05e7bdbe4c159664bc93dea9d1f8df223 | 1,917 | py | Python | src/vmshepherd/app.py | DreamLab/VmShepherd | f602bb814080d2d3f62c6cb5fa6b9dd685833c24 | [
"Apache-2.0"
] | 10 | 2018-06-10T17:54:57.000Z | 2022-02-07T19:37:07.000Z | src/vmshepherd/app.py | DreamLab/VmShepherd | f602bb814080d2d3f62c6cb5fa6b9dd685833c24 | [
"Apache-2.0"
] | 10 | 2018-06-10T18:46:07.000Z | 2021-05-13T13:01:22.000Z | src/vmshepherd/app.py | DreamLab/VmShepherd | f602bb814080d2d3f62c6cb5fa6b9dd685833c24 | [
"Apache-2.0"
] | 3 | 2019-07-18T14:10:10.000Z | 2022-02-07T19:37:08.000Z | import asyncio
import logging
import os
from vmshepherd.drivers import Drivers
from vmshepherd.http import WebServer
from vmshepherd.utils import gen_id, prefix_logging
from vmshepherd.worker import Worker
class VmShepherd:
def __init__(self, config):
self.config = config
self.root_dir = os.path.... | 32.491525 | 96 | 0.639019 | 226 | 1,917 | 5.238938 | 0.30531 | 0.118243 | 0.087838 | 0.033784 | 0.052365 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001394 | 0.251435 | 1,917 | 58 | 97 | 33.051724 | 0.823693 | 0 | 0 | 0 | 0 | 0 | 0.061033 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.145833 | 0 | 0.229167 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9b84e52e79d954ea22decc10bdcb695a3cc56e1 | 1,762 | py | Python | opsdroid/connector/slack/events.py | himanshu1root/opsdroid | 26699c5e7cc014a0d3ab74baf66fbadce939ab73 | [
"Apache-2.0"
] | 1 | 2020-04-29T20:44:44.000Z | 2020-04-29T20:44:44.000Z | opsdroid/connector/slack/events.py | himanshu1root/opsdroid | 26699c5e7cc014a0d3ab74baf66fbadce939ab73 | [
"Apache-2.0"
] | 10 | 2019-06-22T11:18:55.000Z | 2019-09-03T13:26:47.000Z | opsdroid/connector/slack/events.py | himanshu1root/opsdroid | 26699c5e7cc014a0d3ab74baf66fbadce939ab73 | [
"Apache-2.0"
] | 1 | 2019-06-11T22:30:49.000Z | 2019-06-11T22:30:49.000Z | """Classes to describe different kinds of Slack specific event."""
import json
from opsdroid.events import Message
class Blocks(Message):
"""A blocks object.
Slack uses blocks to add advenced interactivity and formatting to messages.
https://api.slack.com/messaging/interactivity
Blocks are provided... | 39.155556 | 79 | 0.648127 | 224 | 1,762 | 5.044643 | 0.441964 | 0.044248 | 0.031858 | 0.026549 | 0.204425 | 0.204425 | 0.204425 | 0.204425 | 0.204425 | 0.125664 | 0 | 0 | 0.296254 | 1,762 | 44 | 80 | 40.045455 | 0.91129 | 0.76277 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9b95e3837c6ec2e9141c7cfae3e53054b21d5b5 | 3,449 | py | Python | src/train.py | SYHPARK/MalConv-keras | 2b68ba82e2201290130bed6d58f5725b17a87867 | [
"MIT"
] | null | null | null | src/train.py | SYHPARK/MalConv-keras | 2b68ba82e2201290130bed6d58f5725b17a87867 | [
"MIT"
] | null | null | null | src/train.py | SYHPARK/MalConv-keras | 2b68ba82e2201290130bed6d58f5725b17a87867 | [
"MIT"
] | null | null | null | from os.path import join
import argparse
import pickle
import warnings
import pandas as pd
from keras.callbacks import ModelCheckpoint, EarlyStopping
from keras.models import load_model
import utils
from malconv import Malconv
from preprocess import preprocess
warnings.filterwarnings("ignore")
parser = argparse.Argu... | 40.104651 | 116 | 0.684836 | 477 | 3,449 | 4.740042 | 0.278826 | 0.047766 | 0.090226 | 0.02521 | 0.070765 | 0.05042 | 0.05042 | 0.05042 | 0.05042 | 0.05042 | 0 | 0.014396 | 0.174253 | 3,449 | 85 | 117 | 40.576471 | 0.779494 | 0.028704 | 0 | 0 | 0 | 0 | 0.178582 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015385 | false | 0 | 0.153846 | 0 | 0.184615 | 0.153846 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9bc28a5d5d38a212f5e0f03eba96a2a3f217595 | 1,870 | py | Python | unittesting.py | slobbishbody/routegetter | b6c279c1734530fd2aec08da9317575b66150092 | [
"MIT"
] | null | null | null | unittesting.py | slobbishbody/routegetter | b6c279c1734530fd2aec08da9317575b66150092 | [
"MIT"
] | null | null | null | unittesting.py | slobbishbody/routegetter | b6c279c1734530fd2aec08da9317575b66150092 | [
"MIT"
] | null | null | null | '''We will test all routegetter methods in this test suite'''
from os.path import join, abspath, sep
import unittest
import logging
import routesparser
from faker import Faker
LOG_FILE = join(sep.join(sep.split(abspath(__file__))[:-1]), 'log', 'testing', 'testing.log')
class RoutesGetterTests(unittest.TestCase):
... | 33.392857 | 93 | 0.673797 | 222 | 1,870 | 5.509009 | 0.378378 | 0.028618 | 0.02453 | 0.044154 | 0.260016 | 0.242028 | 0.106296 | 0.106296 | 0.106296 | 0.106296 | 0 | 0.007458 | 0.21123 | 1,870 | 55 | 94 | 34 | 0.821695 | 0.057219 | 0 | 0.146341 | 0 | 0 | 0.086187 | 0 | 0 | 0 | 0 | 0 | 0.073171 | 1 | 0.146341 | false | 0 | 0.121951 | 0 | 0.317073 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9bc5072826fedfaeb9d7bc762e8a4e79ddf3354 | 961 | py | Python | side8/k8s/operator/utils.py | side8/k8s-operator | 4097d91c39596993fcd21c2e9158796f83f7ea6f | [
"Apache-2.0"
] | 29 | 2017-12-12T04:51:47.000Z | 2021-12-16T13:33:30.000Z | side8/k8s/operator/utils.py | side8/k8s-operator | 4097d91c39596993fcd21c2e9158796f83f7ea6f | [
"Apache-2.0"
] | 18 | 2017-11-16T17:57:59.000Z | 2018-01-30T11:05:29.000Z | side8/k8s/operator/utils.py | side8/k8s-operator | 4097d91c39596993fcd21c2e9158796f83f7ea6f | [
"Apache-2.0"
] | 6 | 2018-10-01T16:37:45.000Z | 2021-05-07T02:34:44.000Z | def parse(o, prefix=""):
def flatten(lis):
new_lis = []
for item in lis:
if isinstance(item, list):
new_lis.extend(flatten(item))
else:
new_lis.append(item)
return new_lis
try:
return {
"str": lambda: (prefix, o... | 41.782609 | 136 | 0.522373 | 115 | 961 | 4.243478 | 0.356522 | 0.04918 | 0.057377 | 0.061475 | 0.356557 | 0.356557 | 0.245902 | 0.245902 | 0.245902 | 0.245902 | 0 | 0.002963 | 0.297607 | 961 | 22 | 137 | 43.681818 | 0.72 | 0 | 0 | 0 | 0 | 0 | 0.07076 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0 | 0 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9bca9a508473ab1f3f0748890578a6eb5bddb04 | 710 | py | Python | setup.py | thetongs/hello_world | 5c2ab413cd104ed6d8a5640ee6fd3476d0f1e846 | [
"MIT"
] | null | null | null | setup.py | thetongs/hello_world | 5c2ab413cd104ed6d8a5640ee6fd3476d0f1e846 | [
"MIT"
] | null | null | null | setup.py | thetongs/hello_world | 5c2ab413cd104ed6d8a5640ee6fd3476d0f1e846 | [
"MIT"
] | null | null | null | from setuptools import setup
VERSION = '0.0.4'
DESCRIPTION = 'Hello world checking'
# Setting up
setup(
name="hello_world",
version=VERSION,
author="Kishan Tongrao",
author_email="kishan.tongs@gmail.com",
description=DESCRIPTION,
long_description_content_type="text/markdown",
... | 28.4 | 52 | 0.625352 | 70 | 710 | 6.214286 | 0.742857 | 0.068966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009416 | 0.252113 | 710 | 25 | 53 | 28.4 | 0.809793 | 0.014085 | 0 | 0 | 0 | 0 | 0.438519 | 0.032593 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.045455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9c93db3dbc0d8e8af8b81d596af15d7ca55058b | 2,228 | py | Python | src/cms/medias/hooks.py | UniversitaDellaCalabria/uniCMS | b0af4e1a767867f0a9b3c135a5c84587e713cb71 | [
"Apache-2.0"
] | 6 | 2021-01-26T17:22:53.000Z | 2022-02-15T10:09:03.000Z | src/cms/medias/hooks.py | UniversitaDellaCalabria/uniCMS | b0af4e1a767867f0a9b3c135a5c84587e713cb71 | [
"Apache-2.0"
] | 5 | 2020-12-24T14:29:23.000Z | 2021-08-10T10:32:18.000Z | src/cms/medias/hooks.py | UniversitaDellaCalabria/uniCMS | b0af4e1a767867f0a9b3c135a5c84587e713cb71 | [
"Apache-2.0"
] | 2 | 2020-12-24T14:13:39.000Z | 2020-12-30T16:48:52.000Z | import logging
import magic
import os
from cms.medias.utils import get_file_type_size
from django.conf import settings
from django.core.files.uploadedfile import InMemoryUploadedFile
from . import settings as app_settings
from . utils import to_webp
logger = logging.getLogger(__name__)
FILETYPE_IMAGE = getattr(sett... | 32.289855 | 91 | 0.609964 | 271 | 2,228 | 4.756458 | 0.332103 | 0.093871 | 0.069822 | 0.04422 | 0.035687 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003193 | 0.297127 | 2,228 | 68 | 92 | 32.764706 | 0.819923 | 0.041741 | 0 | 0 | 0 | 0 | 0.09526 | 0.011262 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.156863 | 0 | 0.254902 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9cba2d718dc17bd9bd34864d1e448f3f16a9751 | 8,840 | py | Python | tests/thumbor.py | hurbcom/libthumbor | 8362f08071ed1ce345be59713825844808873a80 | [
"MIT"
] | null | null | null | tests/thumbor.py | hurbcom/libthumbor | 8362f08071ed1ce345be59713825844808873a80 | [
"MIT"
] | null | null | null | tests/thumbor.py | hurbcom/libthumbor | 8362f08071ed1ce345be59713825844808873a80 | [
"MIT"
] | null | null | null | # encoding: utf-8
import base64
import hashlib
import hmac
import re
import six
from six.moves.urllib.parse import quote
from Crypto.Cipher import AES
class Url(object):
unsafe_or_hash = r'(?:(?:(?P<unsafe>unsafe)|(?P<hash>[^/]{28,}?))/)?'
debug = '(?:(?P<debug>debug)/)?'
meta = '(?:(?P<meta>meta)/)?'
... | 30.801394 | 119 | 0.508145 | 972 | 8,840 | 4.447531 | 0.144033 | 0.050891 | 0.03331 | 0.016655 | 0.174185 | 0.141106 | 0.117511 | 0.103632 | 0.076336 | 0.054129 | 0 | 0.008764 | 0.354638 | 8,840 | 286 | 120 | 30.909091 | 0.748992 | 0.015385 | 0 | 0.135965 | 0 | 0.013158 | 0.126581 | 0.057714 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048246 | false | 0 | 0.030702 | 0.004386 | 0.201754 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9d237ae48e81118b5aaea91722859235e40aa06 | 1,599 | py | Python | flaskrst/modules/tags.py | jarus/flask-rst | 05b6a817f5986d6f6a4552d16a133deb8859ce3e | [
"BSD-3-Clause"
] | 7 | 2015-01-22T14:32:55.000Z | 2021-07-14T02:54:42.000Z | flaskrst/modules/tags.py | jarus/flask-rst | 05b6a817f5986d6f6a4552d16a133deb8859ce3e | [
"BSD-3-Clause"
] | null | null | null | flaskrst/modules/tags.py | jarus/flask-rst | 05b6a817f5986d6f6a4552d16a133deb8859ce3e | [
"BSD-3-Clause"
] | 2 | 2016-03-14T01:06:13.000Z | 2016-04-15T13:26:54.000Z | # -*- coding: utf-8 -*-
"""
flask-rst.modules.tags
~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2011 by Christoph Heer.
:license: BSD, see LICENSE for more details.
"""
from math import log
from flask import Blueprint, render_template
from jinja2 import Markup
from flaskrst.modules.blog import posts
d... | 26.213115 | 72 | 0.605378 | 225 | 1,599 | 4.124444 | 0.28 | 0.060345 | 0.051724 | 0.051724 | 0.201509 | 0.185345 | 0.163793 | 0.163793 | 0.163793 | 0.163793 | 0 | 0.011814 | 0.258912 | 1,599 | 61 | 73 | 26.213115 | 0.771308 | 0.09631 | 0 | 0.136364 | 0 | 0 | 0.066291 | 0.01481 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.090909 | 0 | 0.340909 | 0.068182 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9d8ca7a24eddf8714bfa4046edd0feee39e2a38 | 1,283 | py | Python | lib/core/network.py | lck1201/seq2seq-3Dpose | 3f45cc0f001ac5d25705834541d55938bf1907b6 | [
"MIT"
] | 13 | 2019-03-29T13:39:36.000Z | 2021-09-07T11:15:45.000Z | lib/core/network.py | lck1201/seq2seq-3Dpose | 3f45cc0f001ac5d25705834541d55938bf1907b6 | [
"MIT"
] | 1 | 2019-12-14T21:12:17.000Z | 2019-12-14T21:12:17.000Z | lib/core/network.py | lck1201/seq2seq-3Dpose | 3f45cc0f001ac5d25705834541d55938bf1907b6 | [
"MIT"
] | null | null | null | import mxnet as mx
from mxnet import nd
from mxnet import gluon
from mxnet.gluon import nn, rnn
from config import config
nJoints = config.NETWORK.nJoints
class MyLSTM(gluon.Block):
def __init__(self, cfg, **kwargs):
super(MyLSTM, self).__init__(**kwargs)
self.hidden_dim = cfg.NETWORK.hidden_dim
... | 36.657143 | 87 | 0.639127 | 165 | 1,283 | 4.806061 | 0.369697 | 0.045397 | 0.04918 | 0.047919 | 0.100883 | 0.100883 | 0.100883 | 0.100883 | 0 | 0 | 0 | 0.01367 | 0.258769 | 1,283 | 35 | 88 | 36.657143 | 0.820189 | 0.021044 | 0 | 0 | 0 | 0 | 0.012759 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.166667 | 0.033333 | 0.366667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9da6ebaaad2c77b2b6e79ec9dbb080561fa3b98 | 1,138 | py | Python | day10/day10.py | ecly/a | 73642e7edae484984430492ca9b62bd52b315a50 | [
"MIT"
] | null | null | null | day10/day10.py | ecly/a | 73642e7edae484984430492ca9b62bd52b315a50 | [
"MIT"
] | null | null | null | day10/day10.py | ecly/a | 73642e7edae484984430492ca9b62bd52b315a50 | [
"MIT"
] | null | null | null | import sys
def print_lights(lights):
x = [x for x,y in lights.keys()]
y = [y for x,y in lights.keys()]
minx, maxx = min(x), max(x)
miny, maxy = min(y), max(y)
if maxy - miny < 18:
result = []
for y in range(miny, maxy+1):
for x in range(minx, maxx+1):
re... | 23.708333 | 78 | 0.516696 | 164 | 1,138 | 3.52439 | 0.310976 | 0.027682 | 0.025952 | 0.051903 | 0.093426 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0.015424 | 0.316344 | 1,138 | 47 | 79 | 24.212766 | 0.727506 | 0 | 0 | 0 | 0 | 0 | 0.024605 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0 | 0.028571 | 0.028571 | 0.257143 | 0.114286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9dbe4020052218bd87d8a5c72620da1aa4c792c | 1,850 | py | Python | fuzzystring.py | ZackDev/fuzzystring | 70d5e55f8cf90bcebdb491ba26baa3e05d479189 | [
"MIT"
] | null | null | null | fuzzystring.py | ZackDev/fuzzystring | 70d5e55f8cf90bcebdb491ba26baa3e05d479189 | [
"MIT"
] | null | null | null | fuzzystring.py | ZackDev/fuzzystring | 70d5e55f8cf90bcebdb491ba26baa3e05d479189 | [
"MIT"
] | null | null | null | import re
import random
import string
import os
supported_types = ['a', 'n', 's']
count_types = []
def fuzzyfy(types, length):
# check type and length parameters for validity
try:
int(length)
except Exception:
return None
if types == '' or types == "":
return None
elif ... | 22.02381 | 78 | 0.571351 | 230 | 1,850 | 4.486957 | 0.330435 | 0.127907 | 0.05814 | 0.069767 | 0.158915 | 0.158915 | 0.060078 | 0 | 0 | 0 | 0 | 0.017081 | 0.303784 | 1,850 | 83 | 79 | 22.289157 | 0.784161 | 0.074054 | 0 | 0.258065 | 0 | 0 | 0.030445 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048387 | false | 0 | 0.064516 | 0 | 0.241935 | 0.193548 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9e2dcad41a62fabe6d852cdc47cfde976426a83 | 1,510 | py | Python | modules/drop.py | a-wing/mavelous | eef41c096cc282bb3acd33a747146a88d2bd1eee | [
"MIT"
] | 80 | 2015-01-02T23:23:19.000Z | 2021-11-02T16:03:07.000Z | modules/drop.py | Y-H-T/mavelous | eef41c096cc282bb3acd33a747146a88d2bd1eee | [
"MIT"
] | 1 | 2016-04-13T15:44:23.000Z | 2016-04-13T15:44:23.000Z | modules/drop.py | Y-H-T/mavelous | eef41c096cc282bb3acd33a747146a88d2bd1eee | [
"MIT"
] | 63 | 2015-01-03T19:35:39.000Z | 2022-02-08T17:15:44.000Z | #!/usr/bin/env python
''' simple bottle drop module'''
import time
mpstate = None
hold_pwm = 983
release_pwm = 1776
drop_channel = 5
drop_time = 2.0
class drop_state(object):
def __init__(self):
self.waiting = False
self.start_drop = 0
def name():
'''return module name'''
return "drop"
... | 26.491228 | 92 | 0.660265 | 204 | 1,510 | 4.676471 | 0.362745 | 0.075472 | 0.100629 | 0.072327 | 0.220126 | 0.069182 | 0 | 0 | 0 | 0 | 0 | 0.015113 | 0.211258 | 1,510 | 56 | 93 | 26.964286 | 0.785894 | 0.121192 | 0 | 0.052632 | 0 | 0 | 0.113178 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.184211 | false | 0 | 0.026316 | 0 | 0.289474 | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9e532019c14012309cd048823903e390b14f730 | 3,767 | py | Python | retropie/influx-retropie.py | Epaphus/personal-influxdb | 6357bc8a1b362280b0ce79674ddd8e804573f2a9 | [
"Apache-2.0"
] | 217 | 2020-01-07T20:25:46.000Z | 2022-03-29T06:09:58.000Z | retropie/influx-retropie.py | Epaphus/personal-influxdb | 6357bc8a1b362280b0ce79674ddd8e804573f2a9 | [
"Apache-2.0"
] | 16 | 2020-02-10T12:40:23.000Z | 2022-02-26T13:01:55.000Z | retropie/influx-retropie.py | Epaphus/personal-influxdb | 6357bc8a1b362280b0ce79674ddd8e804573f2a9 | [
"Apache-2.0"
] | 34 | 2020-01-15T15:42:20.000Z | 2022-02-22T17:29:15.000Z | #!/usr/bin/python3
# Copyright (C) 2020 Sam Steele
# 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... | 27.297101 | 123 | 0.689673 | 487 | 3,767 | 5.301848 | 0.418891 | 0.046476 | 0.027111 | 0.012393 | 0.149497 | 0.10457 | 0.072812 | 0.072812 | 0.072812 | 0.072812 | 0 | 0.008267 | 0.165118 | 3,767 | 137 | 124 | 27.49635 | 0.812719 | 0.182373 | 0 | 0.264151 | 0 | 0 | 0.236542 | 0.017618 | 0.009434 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.018868 | 0.04717 | 0 | 0.04717 | 0.04717 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9e56f5f70dd474993a40687a674f32c37bed1cb | 7,470 | py | Python | molecule.py | Ved-P/molecule | 9727a9e7f8c0412feee27bbe034a1540cff7534e | [
"MIT"
] | null | null | null | molecule.py | Ved-P/molecule | 9727a9e7f8c0412feee27bbe034a1540cff7534e | [
"MIT"
] | 1 | 2022-01-03T20:07:31.000Z | 2022-01-04T18:45:21.000Z | molecule.py | Ved-P/molecule | 9727a9e7f8c0412feee27bbe034a1540cff7534e | [
"MIT"
] | null | null | null | # Molecule
#
# This program takes in a molecular formula and creates a Lewis diagram and a 3D
# model of the molecule as the output.
#
# Author: Ved Pradhan
# Since: December 31, 2021
import json
import matplotlib.pyplot as plt
import sys
import math
# Opens the JSON file for use.
with open("elements.json", "r", enc... | 30.995851 | 107 | 0.58822 | 1,064 | 7,470 | 4.016917 | 0.225564 | 0.005147 | 0.009827 | 0.010295 | 0.142957 | 0.118858 | 0.049602 | 0.049602 | 0.049602 | 0.049602 | 0 | 0.030967 | 0.291031 | 7,470 | 240 | 108 | 31.125 | 0.776057 | 0.148728 | 0 | 0.147208 | 0 | 0 | 0.09378 | 0.019735 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060914 | false | 0 | 0.020305 | 0.005076 | 0.121827 | 0.035533 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9e7b5a8abbdd10976c1ff71d253777d5ecde531 | 9,185 | py | Python | app/transaction/attendence.py | rrsk/hiwayPay | c84b7581475164751f64540a521b803bdf08a9fb | [
"MIT"
] | 31 | 2020-07-01T06:40:16.000Z | 2022-03-30T18:49:02.000Z | app/transaction/attendence.py | rrsk/hiwayPay | c84b7581475164751f64540a521b803bdf08a9fb | [
"MIT"
] | 2 | 2020-11-02T06:21:23.000Z | 2021-06-02T00:31:06.000Z | app/transaction/attendence.py | rrsk/hiwayPay | c84b7581475164751f64540a521b803bdf08a9fb | [
"MIT"
] | 13 | 2020-07-02T07:06:05.000Z | 2022-03-15T11:34:41.000Z | from flask import Blueprint
from flask import render_template, redirect, url_for, request, session, jsonify
from flask_login import login_user, logout_user, current_user
from app.transaction import bp
from app.transaction.model_att import Attendence, AttendenceSchema , CompanySchema
from app.employee.model import Emplo... | 38.919492 | 157 | 0.507349 | 968 | 9,185 | 4.68905 | 0.14876 | 0.014541 | 0.019828 | 0.023794 | 0.567526 | 0.49306 | 0.467284 | 0.430271 | 0.384666 | 0.384666 | 0 | 0.010528 | 0.369189 | 9,185 | 235 | 158 | 39.085106 | 0.772868 | 0.05988 | 0 | 0.459459 | 0 | 0 | 0.106985 | 0.009863 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032432 | false | 0 | 0.054054 | 0.005405 | 0.172973 | 0.010811 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9e83e673a43a955f85b17deeccd1c24bc0579dc | 3,385 | py | Python | examples/monitor.py | seba-1511/randopt | 74cefcc734c6a38418151025b0a4d8b6cb41eb14 | [
"Apache-2.0"
] | 115 | 2016-11-21T06:44:19.000Z | 2022-01-21T22:21:27.000Z | examples/monitor.py | seba-1511/randopt | 74cefcc734c6a38418151025b0a4d8b6cb41eb14 | [
"Apache-2.0"
] | 26 | 2016-11-21T07:31:37.000Z | 2019-01-16T14:13:23.000Z | examples/monitor.py | seba-1511/randopt | 74cefcc734c6a38418151025b0a4d8b6cb41eb14 | [
"Apache-2.0"
] | 9 | 2018-04-02T19:54:20.000Z | 2020-02-11T09:12:41.000Z | #!/usr/bin/env python3
"""
Usage:
python monitor.py randopt_results/simple_example/
"""
import sys
import os
import time
import curses
import randopt as ro
USE_MPL = True
USE_CURSES = True
try:
from terminaltables import AsciiTable, SingleTable
except:
raise('run pip install terminaltables')
try:
... | 27.08 | 80 | 0.576662 | 386 | 3,385 | 4.935233 | 0.354922 | 0.015748 | 0.060367 | 0.065092 | 0.165354 | 0.113386 | 0.103937 | 0 | 0 | 0 | 0 | 0.018487 | 0.296898 | 3,385 | 124 | 81 | 27.298387 | 0.781933 | 0.05613 | 0 | 0.210526 | 0 | 0 | 0.098994 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021053 | false | 0 | 0.073684 | 0 | 0.105263 | 0.021053 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9ec67e739da8431aa5c39d649a7e5eb15794f15 | 6,973 | py | Python | LOG.py | viniciusdc/Protein_structure_SPGm | 861672071f2a47b54e4624fc1f69cf3fff0ff356 | [
"MIT"
] | null | null | null | LOG.py | viniciusdc/Protein_structure_SPGm | 861672071f2a47b54e4624fc1f69cf3fff0ff356 | [
"MIT"
] | null | null | null | LOG.py | viniciusdc/Protein_structure_SPGm | 861672071f2a47b54e4624fc1f69cf3fff0ff356 | [
"MIT"
] | null | null | null | from Methods.utils import rmsd, mde
from datetime import datetime
import logging
import json
import sys
def os_display_call(test_path, main, data, multistart=False):
(
filename,
num_atom_init,
total_atoms_ord,
m,
prop_dist,
convex,
fo_non_scaled,
fo_... | 43.855346 | 113 | 0.443711 | 777 | 6,973 | 3.75547 | 0.191763 | 0.082248 | 0.038382 | 0.046607 | 0.701851 | 0.688143 | 0.623029 | 0.591501 | 0.559287 | 0.559287 | 0 | 0.022436 | 0.284096 | 6,973 | 158 | 114 | 44.132911 | 0.562099 | 0.118027 | 0 | 0.446154 | 0 | 0.030769 | 0.385719 | 0.053472 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007692 | false | 0 | 0.038462 | 0 | 0.053846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9f038d1fb5d0607ea396a1c5e9bb4c50b48b589 | 449 | py | Python | src/services/sms.py | HutRubberDuck/super-mini-divar | 191c2f9a412ef879b52f4a71e0fe74743138ab13 | [
"Apache-2.0"
] | null | null | null | src/services/sms.py | HutRubberDuck/super-mini-divar | 191c2f9a412ef879b52f4a71e0fe74743138ab13 | [
"Apache-2.0"
] | null | null | null | src/services/sms.py | HutRubberDuck/super-mini-divar | 191c2f9a412ef879b52f4a71e0fe74743138ab13 | [
"Apache-2.0"
] | null | null | null | from kavenegar import KavenegarAPI, APIException, HTTPException
from src.core.settings import OTP_API_KEY
def send_sms(phone, message):
try:
api = KavenegarAPI(OTP_API_KEY)
response = api.sms_send({
'sender': '10008663',
'receptor': phone,
'message': message,
... | 23.631579 | 63 | 0.605791 | 49 | 449 | 5.428571 | 0.530612 | 0.045113 | 0.067669 | 0.067669 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025641 | 0.305122 | 449 | 18 | 64 | 24.944444 | 0.826923 | 0 | 0 | 0.133333 | 0 | 0 | 0.064588 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9f2d64566db5376ed467678309c5e2282462dda | 923 | py | Python | src/ground/drainbow_mcc/src/drainbow_mcc/emitter/imu.py | granum-space/cansat-2017-2018 | 4d9db6f2d55c726e11abbb60fd436ec3eafc2373 | [
"MIT"
] | null | null | null | src/ground/drainbow_mcc/src/drainbow_mcc/emitter/imu.py | granum-space/cansat-2017-2018 | 4d9db6f2d55c726e11abbb60fd436ec3eafc2373 | [
"MIT"
] | 9 | 2017-10-31T19:20:05.000Z | 2018-06-17T19:08:52.000Z | src/ground/drainbow_mcc/src/drainbow_mcc/emitter/imu.py | granum-space/cansat-2018 | 4d9db6f2d55c726e11abbb60fd436ec3eafc2373 | [
"MIT"
] | 1 | 2018-06-12T11:30:10.000Z | 2018-06-12T11:30:10.000Z | import random
import logging
import time
from datetime import timedelta
from pymavlink import mavutil
_log = logging.getLogger(__name__)
def now():
return int(round(time.time()*1000))
def random_scaled_imu_test(url: str, pause: timedelta):
connection = mavutil.mavlink_connection(url)
mav = connection.m... | 23.666667 | 60 | 0.612134 | 109 | 923 | 5.009174 | 0.568807 | 0.029304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019231 | 0.267606 | 923 | 38 | 61 | 24.289474 | 0.788462 | 0 | 0 | 0 | 0 | 0 | 0.061822 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.172414 | 0.034483 | 0.275862 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9f4af671dfa98273bbb6368b1d6afc8208adaae | 12,548 | py | Python | tests/test_locator.py | somnathrakshit/geograpy3 | 8a247cc2b164cf48b5ce4e7f9349adfef39e7ea4 | [
"Apache-2.0"
] | 53 | 2020-09-09T06:58:29.000Z | 2022-03-08T19:16:12.000Z | tests/test_locator.py | somnathrakshit/geograpy3 | 8a247cc2b164cf48b5ce4e7f9349adfef39e7ea4 | [
"Apache-2.0"
] | 51 | 2020-09-09T09:31:27.000Z | 2022-01-17T07:12:27.000Z | tests/test_locator.py | somnathrakshit/geograpy3 | 8a247cc2b164cf48b5ce4e7f9349adfef39e7ea4 | [
"Apache-2.0"
] | 9 | 2020-09-09T09:13:03.000Z | 2021-12-14T11:04:34.000Z | '''
Created on 2020-09-19
@author: wf
'''
import os.path
import tempfile
import unittest
from pathlib import Path
from lodstorage.storageconfig import StorageConfig
import geograpy
import getpass
from geograpy.locator import Locator, City,CountryManager, Location, LocationContext
from collections import Counter
from... | 34.190736 | 172 | 0.582483 | 1,302 | 12,548 | 5.589862 | 0.307988 | 0.019786 | 0.023083 | 0.021984 | 0.173124 | 0.119401 | 0.083952 | 0.071036 | 0.046579 | 0.046579 | 0 | 0.026004 | 0.313516 | 12,548 | 366 | 173 | 34.284153 | 0.818783 | 0.1354 | 0 | 0.194915 | 0 | 0 | 0.167317 | 0.007898 | 0 | 0 | 0 | 0 | 0.067797 | 1 | 0.105932 | false | 0.012712 | 0.050847 | 0 | 0.173729 | 0.072034 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9fafb5b1dfbe210783fd95968a164f6159dfcac | 685 | py | Python | Python/threadingProcess.py | GuruprasadaShridharHegde/Coder-Mansion | 14529a6d5d4e674ecaf0c771e9cc428ba34b0a2d | [
"MIT"
] | 1 | 2022-01-19T04:22:21.000Z | 2022-01-19T04:22:21.000Z | Python/threadingProcess.py | GuruprasadaShridharHegde/Coder-Mansion | 14529a6d5d4e674ecaf0c771e9cc428ba34b0a2d | [
"MIT"
] | null | null | null | Python/threadingProcess.py | GuruprasadaShridharHegde/Coder-Mansion | 14529a6d5d4e674ecaf0c771e9cc428ba34b0a2d | [
"MIT"
] | null | null | null | # example of automatically starting a thread
from time import sleep
from threading import Thread
# custom thread class that automatically starts threads when they are constructed
class AutoStartThread(Thread):
# constructor
def __init__(self, *args, **kwargs):
# call the the parent constructor... | 27.4 | 82 | 0.668613 | 85 | 685 | 5.294118 | 0.588235 | 0.044444 | 0.053333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001957 | 0.254015 | 685 | 25 | 83 | 27.4 | 0.878669 | 0.421898 | 0 | 0 | 0 | 0 | 0.071823 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.416667 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9fbf38f83d878c53f0d81d49f3d590917067274 | 4,332 | py | Python | bin/cora_edit_singletoken.py | comphist/cora | 71555df9a520ccab063a8c5eb907feaa1dd88b38 | [
"MIT"
] | 10 | 2017-07-08T12:05:32.000Z | 2019-09-22T17:39:12.000Z | bin/cora_edit_singletoken.py | comphist/cora | 71555df9a520ccab063a8c5eb907feaa1dd88b38 | [
"MIT"
] | 31 | 2017-02-24T19:29:51.000Z | 2020-11-09T15:58:44.000Z | bin/cora_edit_singletoken.py | comphist/cora | 71555df9a520ccab063a8c5eb907feaa1dd88b38 | [
"MIT"
] | 7 | 2017-02-27T12:25:55.000Z | 2022-01-13T08:55:01.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright (C) 2015 Marcel Bollmann <bollmann@linguistics.rub.de>
#
# 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 ... | 40.111111 | 140 | 0.593029 | 526 | 4,332 | 4.796578 | 0.385932 | 0.042806 | 0.028537 | 0.013476 | 0.107808 | 0.050733 | 0.030123 | 0.030123 | 0.030123 | 0 | 0 | 0.005559 | 0.29409 | 4,332 | 107 | 141 | 40.485981 | 0.81949 | 0.308172 | 0 | 0.130435 | 0 | 0.014493 | 0.167227 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072464 | false | 0 | 0.043478 | 0 | 0.173913 | 0.028986 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9ff48db97e05614b8ced49da35379affb1221e8 | 1,851 | py | Python | datasets/utils.py | lulindev/UNet-pytorch | cf91e251891a2926f46b628985ebdda66bc637a2 | [
"MIT"
] | 3 | 2021-04-07T08:05:44.000Z | 2021-06-25T16:55:56.000Z | datasets/utils.py | lulindev/UNet-pytorch | cf91e251891a2926f46b628985ebdda66bc637a2 | [
"MIT"
] | null | null | null | datasets/utils.py | lulindev/UNet-pytorch | cf91e251891a2926f46b628985ebdda66bc637a2 | [
"MIT"
] | 2 | 2021-08-19T10:23:32.000Z | 2021-12-15T03:26:11.000Z | from typing import Union
import matplotlib.pyplot as plt
import torch
import torchvision
def decode_segmap_to_color_image(masks: torch.Tensor,
colormap: Union[list, tuple],
num_classes: int,
ignore_index: int = None,
... | 35.596154 | 81 | 0.611021 | 252 | 1,851 | 4.376984 | 0.396825 | 0.059837 | 0.038078 | 0.040798 | 0.073436 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019737 | 0.26094 | 1,851 | 51 | 82 | 36.294118 | 0.78655 | 0.067531 | 0 | 0 | 0 | 0 | 0.062137 | 0 | 0 | 0 | 0 | 0 | 0.025 | 1 | 0.05 | false | 0 | 0.1 | 0 | 0.175 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9ffd31b49092a967f11f75892dae5ddf2b9ea57 | 1,373 | py | Python | src/lm_based/translate_start_end.py | vered1986/time_expressions | 32d182d7f741eec007141f5ca89c0d419e23a9a7 | [
"Apache-2.0"
] | 1 | 2022-02-25T15:00:42.000Z | 2022-02-25T15:00:42.000Z | src/lm_based/translate_start_end.py | vered1986/time_expressions | 32d182d7f741eec007141f5ca89c0d419e23a9a7 | [
"Apache-2.0"
] | null | null | null | src/lm_based/translate_start_end.py | vered1986/time_expressions | 32d182d7f741eec007141f5ca89c0d419e23a9a7 | [
"Apache-2.0"
] | null | null | null | import os
import json
import logging
import argparse
from src.common.translate import translate_time_expression_templates, get_client
logging.basicConfig(format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', level=logging.INFO)
logger = logging.getLogger(__name__)
def main():
parser = argparse.Argument... | 32.690476 | 118 | 0.680991 | 179 | 1,373 | 4.994413 | 0.430168 | 0.036913 | 0.051454 | 0.071588 | 0.044743 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.191551 | 1,373 | 41 | 119 | 33.487805 | 0.805405 | 0.016023 | 0 | 0 | 0 | 0 | 0.201631 | 0.080059 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.178571 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a001a953fb7ca73d48a5c0947ed5285912738fe8 | 3,612 | py | Python | socatlord/operations.py | Cervi-Robotics/socatlord | e4d8964cb696c789807d2276698d596dfb68dc2b | [
"MIT"
] | 2 | 2021-05-30T01:05:38.000Z | 2021-12-21T21:20:00.000Z | socatlord/operations.py | Cervi-Robotics/socatlord | e4d8964cb696c789807d2276698d596dfb68dc2b | [
"MIT"
] | null | null | null | socatlord/operations.py | Cervi-Robotics/socatlord | e4d8964cb696c789807d2276698d596dfb68dc2b | [
"MIT"
] | 2 | 2021-05-30T01:05:44.000Z | 2021-12-21T21:19:46.000Z | import os
import subprocess
import sys
import time
import pkg_resources
from satella.coding import silence_excs
from satella.coding.sequences import smart_enumerate
from satella.files import write_to_file, read_in_file
from socatlord.parse_config import parse_etc_socatlord
def install_socatlord(verbose: bool = Fals... | 36.857143 | 99 | 0.622647 | 476 | 3,612 | 4.621849 | 0.336134 | 0.036818 | 0.057273 | 0.017727 | 0.204091 | 0.083182 | 0.026364 | 0.026364 | 0 | 0 | 0 | 0.028361 | 0.248339 | 3,612 | 97 | 100 | 37.237113 | 0.781952 | 0 | 0 | 0.135802 | 0 | 0.024691 | 0.299834 | 0.037099 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049383 | false | 0 | 0.111111 | 0 | 0.160494 | 0.160494 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a002a3319b840c90608c40a67a87ec1a46bcac4f | 2,303 | py | Python | src/authutils/oauth2/client/blueprint.py | dvenckusuchgo/authutils | 4b43a250f448815f1ea0e7fa22fa0b02c9a2cb1d | [
"Apache-2.0"
] | null | null | null | src/authutils/oauth2/client/blueprint.py | dvenckusuchgo/authutils | 4b43a250f448815f1ea0e7fa22fa0b02c9a2cb1d | [
"Apache-2.0"
] | 31 | 2018-02-12T22:32:49.000Z | 2022-01-06T21:39:44.000Z | src/authutils/oauth2/client/blueprint.py | dvenckusuchgo/authutils | 4b43a250f448815f1ea0e7fa22fa0b02c9a2cb1d | [
"Apache-2.0"
] | 2 | 2021-01-05T22:54:28.000Z | 2021-11-29T20:57:20.000Z | """
Provide a basic set of endpoints for an application to implement OAuth client
functionality.
These endpoints assume that the ``current_app`` has already been configured
with an OAuth client instance from the ``authlib`` package as follows:
.. code-block:: python
from authutils.oauth2.client import OAuthClien... | 28.7875 | 84 | 0.685627 | 297 | 2,303 | 5.185185 | 0.397306 | 0.042857 | 0.036364 | 0.040909 | 0.062338 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007081 | 0.202779 | 2,303 | 79 | 85 | 29.151899 | 0.831699 | 0.489796 | 0 | 0.071429 | 0 | 0 | 0.112903 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.178571 | 0 | 0.428571 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a005db92c36fe0ec0c9db64cfb4a8341416d95de | 24,671 | py | Python | catalog/bindings/csw/dictionary_entry_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/csw/dictionary_entry_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/csw/dictionary_entry_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass, field
from typing import List, Optional
from bindings.csw.abstract_general_operation_parameter_ref_type import (
OperationParameterGroup,
)
from bindings.csw.actuate_type import ActuateType
from bindings.csw.base_unit import BaseUnit
from bindings.csw.cartesian_cs import Cartesian... | 31.588988 | 81 | 0.592963 | 2,290 | 24,671 | 6.287773 | 0.117031 | 0.068616 | 0.08445 | 0.110216 | 0.401278 | 0.268838 | 0.259115 | 0.253281 | 0.162581 | 0.06299 | 0 | 0.002276 | 0.287747 | 24,671 | 780 | 82 | 31.629487 | 0.817152 | 0.140327 | 0 | 0.45827 | 0 | 0 | 0.225957 | 0.006924 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.004552 | 0.091047 | 0 | 0.213961 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a00686acf3a82fe67d9e295e22aaec66f4b36661 | 2,468 | py | Python | txt2epub_pdf/console.py | drthomas246/txt2epub-pdf | 09d12a61e0d6f66512af7fdf9abfd4b384a5c648 | [
"MIT"
] | null | null | null | txt2epub_pdf/console.py | drthomas246/txt2epub-pdf | 09d12a61e0d6f66512af7fdf9abfd4b384a5c648 | [
"MIT"
] | null | null | null | txt2epub_pdf/console.py | drthomas246/txt2epub-pdf | 09d12a61e0d6f66512af7fdf9abfd4b384a5c648 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from .package import txt2epub as txt2epub
from .package import txt2pdf as txt2pdf
import argparse
__version__ = "0.1.0"
def epub():
parser = argparse.ArgumentParser(
prog='txt2epub.exe',
description='テキストを電子書籍(epub)化する'
)
metadata = parser2m... | 37.393939 | 120 | 0.657212 | 295 | 2,468 | 5.328814 | 0.318644 | 0.080153 | 0.151399 | 0.10687 | 0.207379 | 0.207379 | 0.207379 | 0.062341 | 0.062341 | 0 | 0 | 0.008721 | 0.163695 | 2,468 | 65 | 121 | 37.969231 | 0.752907 | 0.017423 | 0 | 0.076923 | 0 | 0 | 0.196451 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057692 | false | 0 | 0.057692 | 0 | 0.134615 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a00725d52685ae75cf07ae5d77c3ada997c869be | 3,150 | py | Python | tests/test_fileio_operators.py | ptrthomas/blender_mmd_tools | 8b5053b9f2e7391cb9ac1e5114824cbbfd9d80cc | [
"MIT"
] | 2 | 2021-01-22T05:11:50.000Z | 2021-02-19T11:58:00.000Z | tests/test_fileio_operators.py | jiastku98/blender_mmd_tools | ac26c55a985d62ae9439a961d27e796444d09069 | [
"MIT"
] | 1 | 2022-01-29T05:46:50.000Z | 2022-01-29T05:46:50.000Z | tests/test_fileio_operators.py | yhong3/blender_mmd_tools | 53e16a46459328bccc444c84e50f22436e9cbc11 | [
"MIT"
] | 1 | 2021-11-07T19:41:34.000Z | 2021-11-07T19:41:34.000Z | import os
import shutil
import unittest
import bpy
from mmd_tools.core import pmx
from mmd_tools.core.model import Model
TESTS_DIR = os.path.dirname(os.path.abspath(__file__))
SAMPLES_DIR = os.path.join(os.path.dirname(TESTS_DIR), 'samples')
class TestFileIoOperators(unittest.TestCase):
@classmethod
def se... | 39.873418 | 108 | 0.626349 | 417 | 3,150 | 4.558753 | 0.364508 | 0.047344 | 0.031562 | 0.016833 | 0.092583 | 0.049448 | 0 | 0 | 0 | 0 | 0 | 0.000438 | 0.274921 | 3,150 | 78 | 109 | 40.384615 | 0.831874 | 0.149206 | 0 | 0 | 0 | 0 | 0.101472 | 0 | 0 | 0 | 0 | 0 | 0.054545 | 1 | 0.054545 | false | 0 | 0.127273 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a00cf121c8cf260456f4a0552e06a0dd6ae84b59 | 1,070 | py | Python | cv_lib/detection/models/__init__.py | zhfeing/deep-learning-lib-PyTorch | 1a4e1c1939a42c30fe32dd8d6aff210e8604e77b | [
"MIT"
] | 4 | 2021-03-29T07:34:21.000Z | 2021-04-25T08:25:30.000Z | cv_lib/detection/models/__init__.py | zhfeing/deep-learning-lib | f96e3a71ae2dbeb44696725ec127ff8f37d4c6e9 | [
"MIT"
] | null | null | null | cv_lib/detection/models/__init__.py | zhfeing/deep-learning-lib | f96e3a71ae2dbeb44696725ec127ff8f37d4c6e9 | [
"MIT"
] | 1 | 2021-03-30T07:13:31.000Z | 2021-03-30T07:13:31.000Z | from functools import partial
from typing import Dict
import copy
from torch.nn import Module
from torchvision.models.resnet import *
from .ssd_resnet import SSD300_ResNet
from .ssd_vgg import SSD300_VGG16
from .backbones import *
__REGISTERED_MODELS__ = {
"SSD300_ResNet": SSD300_ResNet,
"SSD3... | 24.883721 | 63 | 0.715888 | 128 | 1,070 | 5.59375 | 0.351563 | 0.050279 | 0.050279 | 0.055866 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027939 | 0.197196 | 1,070 | 42 | 64 | 25.47619 | 0.805588 | 0 | 0 | 0 | 0 | 0 | 0.077897 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.266667 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a0100c7225ae95c3cbbf519ce214f82cef36e0ce | 733 | py | Python | csr/kernels/mkl/multiply.py | mdekstrand/csr | 665ceefff882d7e42db41034246b6ddb1f93e372 | [
"MIT"
] | 11 | 2021-02-07T16:37:31.000Z | 2022-03-19T15:19:16.000Z | csr/kernels/mkl/multiply.py | mdekstrand/csr | 665ceefff882d7e42db41034246b6ddb1f93e372 | [
"MIT"
] | 25 | 2021-02-11T22:42:01.000Z | 2022-01-27T21:04:31.000Z | csr/kernels/mkl/multiply.py | lenskit/csr | 03fde2d8c3cb7eb330028f34765ff2a06f849631 | [
"MIT"
] | 2 | 2021-02-07T02:05:04.000Z | 2021-06-01T15:23:09.000Z | import numpy as np
from numba import njit
from ._api import * # noqa: F403
from .handle import mkl_h
__all__ = [
'mult_ab',
'mult_abt'
]
@njit(nogil=True)
def mult_ab(a_h, b_h):
if a_h.H and b_h.H:
h = lk_mkl_spmab(a_h.H, b_h.H)
else:
h = 0
return mkl_h(h, a_h.nrows, b_h.ncols, ... | 17.452381 | 47 | 0.587995 | 153 | 733 | 2.522876 | 0.281046 | 0.072539 | 0.046632 | 0.124352 | 0.450777 | 0.398964 | 0.274611 | 0.274611 | 0.274611 | 0.274611 | 0 | 0.020716 | 0.27558 | 733 | 41 | 48 | 17.878049 | 0.706215 | 0.013643 | 0 | 0.3 | 0 | 0 | 0.020804 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.133333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a01762ca3e759a9a379ad71578ccb40a1edcad3d | 738 | py | Python | contests_atcoder/abc153/abc153_f.py | takelifetime/competitive-programming | e7cf8ef923ccefad39a1727ca94c610d650fcb76 | [
"BSD-2-Clause"
] | null | null | null | contests_atcoder/abc153/abc153_f.py | takelifetime/competitive-programming | e7cf8ef923ccefad39a1727ca94c610d650fcb76 | [
"BSD-2-Clause"
] | 1 | 2021-01-02T06:36:51.000Z | 2021-01-02T06:36:51.000Z | contests_atcoder/abc153/abc153_f.py | takelifetime/competitive-programming | e7cf8ef923ccefad39a1727ca94c610d650fcb76 | [
"BSD-2-Clause"
] | null | null | null | from bisect import bisect_left, bisect_right
from collections import deque, Counter
from itertools import combinations, permutations
from math import gcd, sin, cos, tan, degrees, radians
import sys
input = lambda: sys.stdin.readline().rstrip()
MOD = 10 ** 9 + 7
INF = float("inf")
n, d, a = map(int, input().split())
mo... | 23.0625 | 63 | 0.624661 | 113 | 738 | 4.00885 | 0.530973 | 0.121413 | 0.092715 | 0.07064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021164 | 0.231707 | 738 | 32 | 64 | 23.0625 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0.00406 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a017a1ab05231fbc634e10328c46e53e752448d8 | 16,532 | py | Python | sistema_experto.py | Erubeyy/SistemaExperto- | 6194f798fad684eb83635fe85bf3f1a7d70ed2a2 | [
"MIT"
] | null | null | null | sistema_experto.py | Erubeyy/SistemaExperto- | 6194f798fad684eb83635fe85bf3f1a7d70ed2a2 | [
"MIT"
] | null | null | null | sistema_experto.py | Erubeyy/SistemaExperto- | 6194f798fad684eb83635fe85bf3f1a7d70ed2a2 | [
"MIT"
] | null | null | null | from tkinter import*
from tkinter import font
from experta import *
raiz = Tk()
raiz.title("Sistema experto- Tipos de covid")
raiz.config(bg="#f4f7fa")
#raiz.resizable(0,0)
mi0Frame = Frame(raiz)#, width="1200", height="700")
mi0Frame.grid(row=1, column=0)
mi0Frame.config(bg="#f4f7fa")
mi3Frame = Frame(raiz)#, width=... | 43.851459 | 335 | 0.687576 | 2,486 | 16,532 | 4.445696 | 0.095736 | 0.026059 | 0.031668 | 0.034745 | 0.68232 | 0.576909 | 0.525154 | 0.504705 | 0.402823 | 0.332338 | 0 | 0.04531 | 0.108214 | 16,532 | 377 | 336 | 43.851459 | 0.704334 | 0.041979 | 0 | 0.15082 | 0 | 0 | 0.136025 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101639 | false | 0 | 0.009836 | 0.006557 | 0.12459 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a017aa5f81d90682eeec3d31e4bdb2e999666f4b | 6,105 | py | Python | socket_temperature_connect.py | MeowMeowZi/PPLTestTool | 576f28fb20680b1ed33520d92c552ccafc93d716 | [
"MIT"
] | null | null | null | socket_temperature_connect.py | MeowMeowZi/PPLTestTool | 576f28fb20680b1ed33520d92c552ccafc93d716 | [
"MIT"
] | null | null | null | socket_temperature_connect.py | MeowMeowZi/PPLTestTool | 576f28fb20680b1ed33520d92c552ccafc93d716 | [
"MIT"
] | null | null | null | import socket
import time
import shelve
preset_command = {
1: ['MB0023,1', 'MI0695,'],
2: ['MB0024,1', 'MI0696,'],
3: ['MB0076,1', 'MI0697,'],
4: ['MB0026,1', 'MI0698,'],
}
force_command = 'MB0336,1'
start_command = 'MB0020,0'
stop_command = 'MB0020,1'
class Temperature:
def __init__(self):
... | 30.678392 | 110 | 0.552826 | 740 | 6,105 | 4.409459 | 0.197297 | 0.051486 | 0.040454 | 0.044131 | 0.350291 | 0.178057 | 0.064664 | 0.050567 | 0.019001 | 0 | 0 | 0.049157 | 0.310238 | 6,105 | 198 | 111 | 30.833333 | 0.723344 | 0.106143 | 0 | 0.138686 | 0 | 0 | 0.103156 | 0.015501 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109489 | false | 0.007299 | 0.021898 | 0 | 0.160584 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a0187e302825ea7cb1c14461fb74435494c1cd4b | 12,938 | py | Python | wwwdccn/chair_mail/models.py | marvinxu99/dccnsys | 8f53728d06b859cace42cc84bc190bc89950d252 | [
"MIT"
] | 16 | 2020-03-15T15:33:30.000Z | 2021-11-26T21:57:27.000Z | wwwdccn/chair_mail/models.py | marvinxu99/dccnsys | 8f53728d06b859cace42cc84bc190bc89950d252 | [
"MIT"
] | 11 | 2019-04-27T19:15:43.000Z | 2022-03-11T23:43:08.000Z | wwwdccn/chair_mail/models.py | marvinxu99/dccnsys | 8f53728d06b859cace42cc84bc190bc89950d252 | [
"MIT"
] | 10 | 2020-03-14T09:25:39.000Z | 2022-02-21T16:46:33.000Z | from django.conf import settings
from django.core.mail import send_mail
from django.db import models
from django.db.models import ForeignKey, OneToOneField, TextField, CharField, \
SET_NULL, CASCADE, BooleanField, UniqueConstraint
from django.db.models.signals import post_save
from django.dispatch import receiver
f... | 35.157609 | 83 | 0.659762 | 1,489 | 12,938 | 5.545332 | 0.162525 | 0.043599 | 0.024706 | 0.01526 | 0.45743 | 0.401114 | 0.341407 | 0.312583 | 0.29587 | 0.25651 | 0 | 0.002569 | 0.247952 | 12,938 | 367 | 84 | 35.253406 | 0.846043 | 0.09646 | 0 | 0.358885 | 0 | 0 | 0.159488 | 0.00576 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052265 | false | 0 | 0.04878 | 0.017422 | 0.320557 | 0.003484 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a01dc69fc961ecf3abcdcc4efc76fa8f20eeb48a | 1,753 | py | Python | translator/model.py | marco-nicola/python-translator | 6a559874c9899e52a4cac9c2954dcca6b638f002 | [
"Apache-2.0"
] | null | null | null | translator/model.py | marco-nicola/python-translator | 6a559874c9899e52a4cac9c2954dcca6b638f002 | [
"Apache-2.0"
] | null | null | null | translator/model.py | marco-nicola/python-translator | 6a559874c9899e52a4cac9c2954dcca6b638f002 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Marco Nicola
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 38.108696 | 79 | 0.718768 | 220 | 1,753 | 5.581818 | 0.490909 | 0.045603 | 0.052932 | 0.039088 | 0.15228 | 0.15228 | 0.15228 | 0.120521 | 0.120521 | 0.120521 | 0 | 0.007714 | 0.186537 | 1,753 | 45 | 80 | 38.955556 | 0.853436 | 0.312607 | 0 | 0.086957 | 0 | 0 | 0.095718 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.173913 | 0 | 0.391304 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a021e7c81cd72a8cb8466d95bea774bd4667239f | 1,692 | py | Python | src/api/content_flag.py | Viewly/alpha-2 | 6b6d827197489164d8c4bde4f4d591dcec5a2163 | [
"MIT"
] | null | null | null | src/api/content_flag.py | Viewly/alpha-2 | 6b6d827197489164d8c4bde4f4d591dcec5a2163 | [
"MIT"
] | 1 | 2021-05-07T06:26:16.000Z | 2021-05-07T06:26:16.000Z | src/api/content_flag.py | Viewly/alpha-2 | 6b6d827197489164d8c4bde4f4d591dcec5a2163 | [
"MIT"
] | null | null | null | import datetime as dt
import json
from flask_restful import (
Resource,
reqparse,
)
from flask_security import current_user
from marshmallow_sqlalchemy import ModelSchema
from .utils import auth_required
from .. import db
from ..core.utils import log_exception
from ..models import ContentFlag
class FlagSch... | 26.030769 | 77 | 0.60461 | 193 | 1,692 | 5.134715 | 0.414508 | 0.035318 | 0.034309 | 0.038345 | 0.272452 | 0.189707 | 0.072654 | 0.072654 | 0.072654 | 0 | 0 | 0.007513 | 0.291962 | 1,692 | 64 | 78 | 26.4375 | 0.8197 | 0 | 0 | 0.08 | 0 | 0 | 0.052009 | 0 | 0 | 0 | 0 | 0 | 0.04 | 1 | 0.04 | false | 0 | 0.18 | 0 | 0.38 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a0220e4b4dae9e864bc6a43965e05ecf1eb56be9 | 13,231 | py | Python | cgmodsel/utils.py | franknu/cgmodsel | b008ed88e4f10205ee0ff5e9433d5426c1d5ff6a | [
"MIT"
] | 1 | 2020-09-01T08:39:14.000Z | 2020-09-01T08:39:14.000Z | cgmodsel/utils.py | franknu/cgmodsel | b008ed88e4f10205ee0ff5e9433d5426c1d5ff6a | [
"MIT"
] | null | null | null | cgmodsel/utils.py | franknu/cgmodsel | b008ed88e4f10205ee0ff5e9433d5426c1d5ff6a | [
"MIT"
] | 1 | 2020-09-04T13:35:41.000Z | 2020-09-04T13:35:41.000Z | # -*- coding: utf-8 -*-
"""
Copyright: Frank Nussbaum (frank.nussbaum@uni-jena.de)
This file contains various functions used in the module including
- sparse norms and shrinkage operators
- a stable logsumexp implementation
- array printing-method that allows pasting the output into Python code
"""
import... | 33.752551 | 90 | 0.542438 | 1,645 | 13,231 | 4.26383 | 0.210942 | 0.015968 | 0.014115 | 0.015398 | 0.359139 | 0.294554 | 0.258055 | 0.244226 | 0.223981 | 0.201739 | 0 | 0.023121 | 0.307006 | 13,231 | 391 | 91 | 33.838875 | 0.741848 | 0.340791 | 0 | 0.331522 | 0 | 0 | 0.030249 | 0 | 0 | 0 | 0 | 0.005115 | 0.005435 | 1 | 0.076087 | false | 0 | 0.027174 | 0 | 0.179348 | 0.027174 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e428e1c353f9ae16acebfc45bfab7a9a4bd2704 | 2,081 | py | Python | ssd/modeling/head/ssd_head.py | tkhe/ssd-family | a797ec36fda59549aff54419c105813c33d8cdd3 | [
"MIT"
] | 1 | 2019-07-12T02:21:24.000Z | 2019-07-12T02:21:24.000Z | ssd/modeling/head/ssd_head.py | tkhe/ssd-family | a797ec36fda59549aff54419c105813c33d8cdd3 | [
"MIT"
] | null | null | null | ssd/modeling/head/ssd_head.py | tkhe/ssd-family | a797ec36fda59549aff54419c105813c33d8cdd3 | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch.nn.functional as F
from ssd.modeling.anchor import make_anchor_generator
from ssd.utils import bbox
from .inference import make_post_processor
from .loss import make_loss_evaluator
from .predictor import make_ssd_predictor
class SSDHead(nn.Module):
def __init__(self, cfg, in_ch... | 35.87931 | 96 | 0.675156 | 266 | 2,081 | 4.954887 | 0.285714 | 0.054628 | 0.059181 | 0.07739 | 0.10091 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003824 | 0.246036 | 2,081 | 57 | 97 | 36.508772 | 0.836201 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0 | 0.142857 | 0 | 0.326531 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e42bcb647690572f850059e2f35498edac0af13 | 415 | py | Python | find_max_occurence_simple.py | swatmantis/my-pyscripts | e16af5879b101c30e34e82727292849d1d33f440 | [
"Apache-2.0"
] | null | null | null | find_max_occurence_simple.py | swatmantis/my-pyscripts | e16af5879b101c30e34e82727292849d1d33f440 | [
"Apache-2.0"
] | null | null | null | find_max_occurence_simple.py | swatmantis/my-pyscripts | e16af5879b101c30e34e82727292849d1d33f440 | [
"Apache-2.0"
] | null | null | null | """Find max element"""
#!/usr/bin/env python3
"""Find max element"""
import random
from collections import Counter
List = [random.randrange(1, 15) for num in range(10)]
def most_frequent(List):
occurence_count = Counter(List)
return occurence_count.most_common()
frequent_number, frequency = most_frequent(Lis... | 27.666667 | 88 | 0.742169 | 57 | 415 | 5.280702 | 0.614035 | 0.139535 | 0.093023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019284 | 0.125301 | 415 | 14 | 89 | 29.642857 | 0.809917 | 0.091566 | 0 | 0 | 0 | 0 | 0.223496 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.5 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e4b385ebb874ffc51cb3af951c49e948dbf2c97 | 1,659 | py | Python | plugin.video.SportsDevil/lib/dialogs/dialogProgress.py | akuala/REPO.KUALA | ea9a157025530d2ce8fa0d88431c46c5352e89d4 | [
"Apache-2.0"
] | 105 | 2015-11-28T00:03:11.000Z | 2021-05-05T20:47:42.000Z | plugin.video.SportsDevil/lib/dialogs/dialogProgress.py | akuala/REPO.KUALA | ea9a157025530d2ce8fa0d88431c46c5352e89d4 | [
"Apache-2.0"
] | 918 | 2015-11-28T14:12:40.000Z | 2022-03-23T20:24:49.000Z | plugin.video.SportsDevil/lib/dialogs/dialogProgress.py | akuala/REPO.KUALA | ea9a157025530d2ce8fa0d88431c46c5352e89d4 | [
"Apache-2.0"
] | 111 | 2015-12-01T14:06:10.000Z | 2020-08-01T10:44:39.000Z | # -*- coding: utf-8 -*-
import xbmcgui
class DialogProgress:
def __init__(self):
self.dlg = xbmcgui.DialogProgress()
self.__reset__()
def __reset__(self):
self.head = ''
self.firstline = ''
self.secondline = None
self.thirdline = None
self.percent = 0
... | 28.603448 | 90 | 0.603978 | 174 | 1,659 | 5.666667 | 0.16092 | 0.156187 | 0.086207 | 0.136917 | 0.718053 | 0.686613 | 0.663286 | 0.610548 | 0.492901 | 0.423935 | 0 | 0.001721 | 0.299578 | 1,659 | 58 | 91 | 28.603448 | 0.846816 | 0.012658 | 0 | 0.454545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.022727 | 0.022727 | 0.204545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e4b7d98eca7eba2d20b079df0bbd0eb0b4e7a32 | 3,828 | py | Python | bitbake/lib/bb/manifest.py | KDAB/OpenEmbedded-Archos | a525c5629a57ccb8656c22fe5528ce264003f9d8 | [
"MIT"
] | 3 | 2015-05-25T10:56:21.000Z | 2021-11-27T17:25:26.000Z | bitbake/lib/bb/manifest.py | KDAB/OpenEmbedded-Archos | a525c5629a57ccb8656c22fe5528ce264003f9d8 | [
"MIT"
] | 1 | 2021-11-27T17:24:21.000Z | 2021-11-27T17:24:21.000Z | bitbake/lib/bb/manifest.py | KDAB/OpenEmbedded-Archos | a525c5629a57ccb8656c22fe5528ce264003f9d8 | [
"MIT"
] | 2 | 2016-08-13T08:40:48.000Z | 2021-03-26T03:01:03.000Z | # ex:ts=4:sw=4:sts=4:et
# -*- tab-width: 4; c-basic-offset: 4; indent-tabs-mode: nil -*-
#
# Copyright (C) 2003, 2004 Chris Larson
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2 as
# published by the Free Software Foundation.
#... | 26.4 | 112 | 0.544148 | 475 | 3,828 | 4.36 | 0.353684 | 0.026557 | 0.018831 | 0.027523 | 0.16562 | 0.106229 | 0.056977 | 0.028006 | 0.028006 | 0.028006 | 0 | 0.011214 | 0.324451 | 3,828 | 144 | 113 | 26.583333 | 0.789637 | 0.204545 | 0 | 0.308411 | 0 | 0 | 0.119669 | 0.031074 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046729 | false | 0.009346 | 0.037383 | 0 | 0.196262 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e4e48bf1020755d5adf17a1c4aa85cf738609d6 | 23,209 | py | Python | riglib/bmi/robot_arms.py | sgowda/brain-python-interface | 708e2a5229d0496a8ce9de32bda66f0925d366d9 | [
"Apache-2.0"
] | 7 | 2015-08-25T00:28:49.000Z | 2020-04-14T22:58:51.000Z | riglib/bmi/robot_arms.py | sgowda/brain-python-interface | 708e2a5229d0496a8ce9de32bda66f0925d366d9 | [
"Apache-2.0"
] | 89 | 2020-08-03T16:54:08.000Z | 2022-03-09T19:56:19.000Z | riglib/bmi/robot_arms.py | sgowda/brain-python-interface | 708e2a5229d0496a8ce9de32bda66f0925d366d9 | [
"Apache-2.0"
] | 4 | 2016-10-05T17:54:26.000Z | 2020-08-06T15:37:09.000Z | '''
Classes implementing various kinematic chains. This module is perhaps mis-located
as it does not have a direct BMI role but rather contains code which is useful in
supporting BMI control of kinematic chains.
This code depends on the 'robot' module (https://github.com/sgowda/robotics_toolbox)
'''
import numpy as np... | 32.190014 | 138 | 0.561463 | 2,814 | 23,209 | 4.437811 | 0.160625 | 0.044923 | 0.035394 | 0.01065 | 0.275064 | 0.186339 | 0.120035 | 0.10418 | 0.092969 | 0.087524 | 0 | 0.014482 | 0.330561 | 23,209 | 721 | 139 | 32.190014 | 0.789277 | 0.270283 | 0 | 0.149502 | 0 | 0 | 0.022224 | 0 | 0 | 0 | 0 | 0 | 0.006645 | 1 | 0.10299 | false | 0 | 0.023256 | 0 | 0.245847 | 0.013289 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e4e7f677ab2a0f132b93e4b1dfb1c29e362f6de | 3,622 | py | Python | src/utils/tilemap.py | Magicalbat/Metroidvania-Month-15 | a0a30fb3f531a597ced69bf76568ef26e5e88019 | [
"MIT"
] | null | null | null | src/utils/tilemap.py | Magicalbat/Metroidvania-Month-15 | a0a30fb3f531a597ced69bf76568ef26e5e88019 | [
"MIT"
] | null | null | null | src/utils/tilemap.py | Magicalbat/Metroidvania-Month-15 | a0a30fb3f531a597ced69bf76568ef26e5e88019 | [
"MIT"
] | null | null | null | import pygame
from pygame.math import Vector2
import json, math
class Tilemap:
def __init__(self, tileSize, imgs, chunkSize=8):
self.tileSize = tileSize
self.imgs = imgs
self.drawTiles = []
self.chunks = {}
self.chunkSize = chunkSize
def toChunkScale(self, p):
... | 38.126316 | 90 | 0.549144 | 446 | 3,622 | 4.441704 | 0.213004 | 0.066633 | 0.040384 | 0.063099 | 0.13478 | 0.062595 | 0.046441 | 0.046441 | 0.046441 | 0.046441 | 0 | 0.021044 | 0.31778 | 3,622 | 95 | 91 | 38.126316 | 0.780656 | 0 | 0 | 0.025316 | 0 | 0 | 0.009937 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.126582 | false | 0 | 0.037975 | 0.050633 | 0.265823 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e508c95181eba9329a23ec0f597dadfe33c7e09 | 7,295 | py | Python | src/dsnt/util.py | anibali/dsnt-pose2d | f453331a6b120f02948336555b996ac0d95bf4be | [
"Apache-2.0"
] | 12 | 2018-10-18T06:41:00.000Z | 2021-07-31T08:19:41.000Z | src/dsnt/util.py | anibali/dsnt-pose2d | f453331a6b120f02948336555b996ac0d95bf4be | [
"Apache-2.0"
] | 2 | 2019-07-15T13:36:08.000Z | 2020-03-09T04:39:08.000Z | src/dsnt/util.py | anibali/dsnt-pose2d | f453331a6b120f02948336555b996ac0d95bf4be | [
"Apache-2.0"
] | 5 | 2019-01-08T01:32:18.000Z | 2020-08-04T07:42:12.000Z | """
Miscellaneous utility functions.
"""
import random
import time
from contextlib import contextmanager
import math
import numpy as np
import torch
from PIL.ImageDraw import Draw
# Joints to connect for visualisation, giving the effect of drawing a
# basic "skeleton" of the pose.
BONES = {
'right_lower_leg': (0... | 31.042553 | 92 | 0.615216 | 1,060 | 7,295 | 4.09717 | 0.25566 | 0.02694 | 0.011513 | 0.017269 | 0.120424 | 0.078747 | 0.018881 | 0 | 0 | 0 | 0 | 0.032413 | 0.259904 | 7,295 | 234 | 93 | 31.175214 | 0.771995 | 0.246059 | 0 | 0.056738 | 0 | 0 | 0.058616 | 0 | 0 | 0 | 0 | 0 | 0.007092 | 1 | 0.070922 | false | 0 | 0.049645 | 0 | 0.170213 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e5750ff5296717b749da87c576b380ec5a0ca38 | 1,818 | py | Python | kedro/extras/decorators/retry_node.py | hfwittmann/kedro | b0d4fcd8f19b49a7916d78fd09daeb6209a7b6c6 | [
"Apache-2.0"
] | 1 | 2021-11-25T12:33:13.000Z | 2021-11-25T12:33:13.000Z | kedro/extras/decorators/retry_node.py | MerelTheisenQB/kedro | 1eaa2e0fa5d80f96e18ea60b9f3d6e6efc161827 | [
"Apache-2.0"
] | null | null | null | kedro/extras/decorators/retry_node.py | MerelTheisenQB/kedro | 1eaa2e0fa5d80f96e18ea60b9f3d6e6efc161827 | [
"Apache-2.0"
] | null | null | null | """
This module contains the retry decorator, which can be used as
``Node`` decorators to retry nodes. See ``kedro.pipeline.node.decorate``
"""
import logging
from functools import wraps
from time import sleep
from typing import Callable, Type
def retry(
exceptions: Type[Exception] = Exception, n_times: int = 1,... | 30.3 | 86 | 0.573707 | 210 | 1,818 | 4.866667 | 0.514286 | 0.035225 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005076 | 0.349835 | 1,818 | 59 | 87 | 30.813559 | 0.85956 | 0.374587 | 0 | 0 | 0 | 0 | 0.059646 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.133333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e57932c1bf27e86e563c5240b4f42764bb1b0f4 | 1,470 | py | Python | test/lmp/dset/_base/test_download_file.py | ProFatXuanAll/char-RNN | 531f101b3d1ba20bafd28ca060aafe6f583d1efb | [
"Beerware"
] | null | null | null | test/lmp/dset/_base/test_download_file.py | ProFatXuanAll/char-RNN | 531f101b3d1ba20bafd28ca060aafe6f583d1efb | [
"Beerware"
] | null | null | null | test/lmp/dset/_base/test_download_file.py | ProFatXuanAll/char-RNN | 531f101b3d1ba20bafd28ca060aafe6f583d1efb | [
"Beerware"
] | null | null | null | """Test the ability to download files.
Test target:
- :py:meth:`lmp.dset._base.BaseDset.download`.
"""
import os
from typing import Callable
import pytest
import lmp.dset._base
import lmp.util.path
@pytest.fixture
def file_url() -> str:
"""Download target file URL."""
return 'https://raw.githubusercontent.com... | 30 | 112 | 0.755782 | 232 | 1,470 | 4.560345 | 0.327586 | 0.075614 | 0.047259 | 0.053875 | 0.365785 | 0.340265 | 0.300567 | 0.300567 | 0.226843 | 0.226843 | 0 | 0.000774 | 0.121088 | 1,470 | 48 | 113 | 30.625 | 0.818111 | 0.238776 | 0 | 0.181818 | 0 | 0.045455 | 0.091996 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.181818 | false | 0 | 0.227273 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e5ac8d618f9e77a2b39df9c4c03557f518e532c | 1,347 | py | Python | src/api/urls.py | Karim-Valeev/django-myfoods | e8750a05461616a2e7740230177a139749daac73 | [
"MIT"
] | null | null | null | src/api/urls.py | Karim-Valeev/django-myfoods | e8750a05461616a2e7740230177a139749daac73 | [
"MIT"
] | null | null | null | src/api/urls.py | Karim-Valeev/django-myfoods | e8750a05461616a2e7740230177a139749daac73 | [
"MIT"
] | null | null | null | from django.urls import path, re_path
from drf_yasg import openapi
from drf_yasg.views import get_schema_view
from rest_framework.routers import SimpleRouter, DefaultRouter
from rest_framework_simplejwt import views as jwt_views
from api.views import *
# роутер нужен, чтобы сгенерить урлы под вью сет и самому их не ... | 38.485714 | 111 | 0.723831 | 179 | 1,347 | 5.273743 | 0.47486 | 0.063559 | 0.041314 | 0.054025 | 0.073093 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003436 | 0.135857 | 1,347 | 34 | 112 | 39.617647 | 0.80756 | 0.064588 | 0 | 0 | 0 | 0 | 0.221781 | 0.04372 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e5b531d4dae58f3f455001978beda2d6160593c | 18,417 | py | Python | second/pytorch/inference_ros.py | neolixcn/nutonomy_pointpillars | 03f46f6de97c0c97d7bc98d7af3daee215d81a30 | [
"MIT"
] | 1 | 2021-06-11T00:54:48.000Z | 2021-06-11T00:54:48.000Z | second/pytorch/inference_ros.py | neolixcn/nutonomy_pointpillars | 03f46f6de97c0c97d7bc98d7af3daee215d81a30 | [
"MIT"
] | null | null | null | second/pytorch/inference_ros.py | neolixcn/nutonomy_pointpillars | 03f46f6de97c0c97d7bc98d7af3daee215d81a30 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import argparse
import pathlib
import pickle
import shutil
import time
from functools import partial
import sys
sys.path.append('../')
from pathlib import Path
import fire
import numpy as np
import torch
import torch.nn as nn
import os
print(torch.__version__)
print(os.environ['PYTHONP... | 37.432927 | 176 | 0.617147 | 2,496 | 18,417 | 4.269631 | 0.157452 | 0.014263 | 0.00366 | 0.004129 | 0.442714 | 0.403866 | 0.373839 | 0.363705 | 0.346439 | 0.329736 | 0 | 0.031112 | 0.25129 | 18,417 | 491 | 177 | 37.509165 | 0.741751 | 0.317967 | 0 | 0.059925 | 0 | 0 | 0.040741 | 0.016411 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037453 | false | 0.003745 | 0.104869 | 0 | 0.168539 | 0.022472 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e5c7dba2e2083dcb5bc4c5689df3f572c63510f | 3,112 | py | Python | agent.py | AdamMiltonBarker/TassAI | 61ae4f208f06ea39cc5b58079175f17bf1fca4c4 | [
"MIT"
] | 1 | 2021-06-29T09:46:47.000Z | 2021-06-29T09:46:47.000Z | agent.py | AdamMiltonBarker/TassAI | 61ae4f208f06ea39cc5b58079175f17bf1fca4c4 | [
"MIT"
] | 4 | 2021-06-27T16:06:43.000Z | 2021-06-27T16:09:53.000Z | agent.py | AdamMiltonBarker/TassAI | 61ae4f208f06ea39cc5b58079175f17bf1fca4c4 | [
"MIT"
] | 2 | 2020-09-28T02:11:43.000Z | 2020-10-13T15:27:41.000Z | #!/usr/bin/env python3
""" HIAS TassAI Facial Recognition Agent.
HIAS TassAI Facial Recognition Agent processes streams from local
or remote cameras to identify known and unknown humans.
MIT License
Copyright (c) 2021 Asociación de Investigacion en Inteligencia Artificial
Para la Leucemia Peter Moss
Permission is h... | 26.151261 | 78 | 0.754499 | 447 | 3,112 | 5.214765 | 0.434004 | 0.037752 | 0.027456 | 0.046332 | 0.138138 | 0.138138 | 0.11583 | 0.11583 | 0.11583 | 0.11583 | 0 | 0.003466 | 0.165488 | 3,112 | 118 | 79 | 26.372881 | 0.894109 | 0.556877 | 0 | 0.173913 | 0 | 0 | 0.089552 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108696 | false | 0 | 0.195652 | 0 | 0.326087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e604e0888e3f4c9cd3d2b535fdc4b7f1eabfe77 | 2,576 | py | Python | Payload_Types/apfell/mythic/agent_functions/terminals_send.py | xorrior/Mythic | ea348b66e1d96e88e0e7fbabff182945cbdf12b6 | [
"BSD-3-Clause"
] | 2 | 2021-01-28T19:35:46.000Z | 2021-04-08T12:01:48.000Z | Payload_Types/apfell/mythic/agent_functions/terminals_send.py | xorrior/Mythic | ea348b66e1d96e88e0e7fbabff182945cbdf12b6 | [
"BSD-3-Clause"
] | null | null | null | Payload_Types/apfell/mythic/agent_functions/terminals_send.py | xorrior/Mythic | ea348b66e1d96e88e0e7fbabff182945cbdf12b6 | [
"BSD-3-Clause"
] | 2 | 2020-12-29T02:34:13.000Z | 2021-06-24T04:07:38.000Z | from CommandBase import *
import json
from MythicResponseRPC import *
class TerminalsSendArguments(TaskArguments):
def __init__(self, command_line):
super().__init__(command_line)
self.args = {
"window": CommandParameter(
name="window",
type=ParameterTyp... | 36.8 | 457 | 0.622671 | 276 | 2,576 | 5.641304 | 0.467391 | 0.035324 | 0.038536 | 0.043674 | 0.07964 | 0.07964 | 0.07964 | 0.07964 | 0 | 0 | 0 | 0.006081 | 0.297748 | 2,576 | 69 | 458 | 37.333333 | 0.854616 | 0 | 0 | 0.16129 | 0 | 0.016129 | 0.281444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016129 | false | 0.016129 | 0.048387 | 0 | 0.33871 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e6142fd70771c11fbb624c19a0644bc6c708693 | 623 | py | Python | mephisto/plugins/math_expr.py | Kenton1989/mephisto-bot | 50a8008c99b984a453713f480fa578bf5a8353c8 | [
"MIT"
] | null | null | null | mephisto/plugins/math_expr.py | Kenton1989/mephisto-bot | 50a8008c99b984a453713f480fa578bf5a8353c8 | [
"MIT"
] | null | null | null | mephisto/plugins/math_expr.py | Kenton1989/mephisto-bot | 50a8008c99b984a453713f480fa578bf5a8353c8 | [
"MIT"
] | null | null | null | import re
import math
import numexpr as ne
MATH_CONST = {
'pi': math.pi,
'π': math.pi,
'e': math.e,
'inf': math.inf,
'i': 1j,
'j': 1j,
}
SUB_MAP = {
# replace UTF char with ASCII char
'(': '(',
')': ')',
',': ',',
'-': '-',
'÷': '/',
'×': '*',
'+': '+',
#... | 16.394737 | 67 | 0.473515 | 85 | 623 | 3.411765 | 0.588235 | 0.062069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011062 | 0.274478 | 623 | 37 | 68 | 16.837838 | 0.623894 | 0.088283 | 0 | 0 | 0 | 0 | 0.077876 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.107143 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e61d7b3b7f328b277a5ef816c4995021aeb1703 | 1,185 | py | Python | testemu/client/testemu_client/network.py | advaoptical/netemu | a418503d3829f206602e9360c05235626fa8bec5 | [
"Apache-2.0"
] | null | null | null | testemu/client/testemu_client/network.py | advaoptical/netemu | a418503d3829f206602e9360c05235626fa8bec5 | [
"Apache-2.0"
] | null | null | null | testemu/client/testemu_client/network.py | advaoptical/netemu | a418503d3829f206602e9360c05235626fa8bec5 | [
"Apache-2.0"
] | null | null | null | from collections import Mapping
from . import yang_models
class Meta(type):
class Interface(
yang_models
.com_adva_netemu_testemu_client_TestInterface_YangListModel):
"""
Pythonizer for Java class ``TestInterface``.
From Java package ``com.adva.netemu.testemu.cli... | 23.7 | 73 | 0.571308 | 112 | 1,185 | 5.732143 | 0.383929 | 0.043614 | 0.080997 | 0.124611 | 0.239875 | 0.239875 | 0.239875 | 0.127726 | 0 | 0 | 0 | 0 | 0.34346 | 1,185 | 49 | 74 | 24.183673 | 0.825193 | 0.164557 | 0 | 0.115385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.076923 | 0.038462 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e61d7b801c1c3cd496fc2afd8c46c182f86ceda | 666 | py | Python | asym_rlpo/representations/identity.py | abaisero/asym-porl | 8a76d920e51d783bbeeeea3cd2b02efffbb33c72 | [
"MIT"
] | 2 | 2021-08-24T22:41:36.000Z | 2021-10-31T01:55:37.000Z | asym_rlpo/representations/identity.py | abaisero/asym-porl | 8a76d920e51d783bbeeeea3cd2b02efffbb33c72 | [
"MIT"
] | null | null | null | asym_rlpo/representations/identity.py | abaisero/asym-porl | 8a76d920e51d783bbeeeea3cd2b02efffbb33c72 | [
"MIT"
] | 1 | 2021-10-13T12:27:40.000Z | 2021-10-13T12:27:40.000Z | import gym
import torch
from asym_rlpo.utils.debugging import checkraise
from .base import Representation
class IdentityRepresentation(Representation):
def __init__(self, input_space: gym.spaces.Box):
super().__init__()
checkraise(
isinstance(input_space, gym.spaces.Box)
... | 22.2 | 52 | 0.630631 | 76 | 666 | 5.263158 | 0.526316 | 0.125 | 0.065 | 0.095 | 0.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002083 | 0.279279 | 666 | 29 | 53 | 22.965517 | 0.83125 | 0.040541 | 0 | 0 | 0 | 0 | 0.036107 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.190476 | 0.095238 | 0.47619 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e630265553913112faaae0a442558c6d77373c7 | 8,885 | py | Python | src/ggplib/db/lookup.py | richemslie/ggplib | 8388678f311db4a9906d8a3aff71d3f0037b623b | [
"MIT"
] | 11 | 2019-03-02T13:49:07.000Z | 2021-12-21T17:03:05.000Z | src/ggplib/db/lookup.py | ggplib/ggplib | 8388678f311db4a9906d8a3aff71d3f0037b623b | [
"MIT"
] | 2 | 2019-05-15T18:23:50.000Z | 2019-05-19T08:13:19.000Z | src/ggplib/db/lookup.py | ggplib/ggplib | 8388678f311db4a9906d8a3aff71d3f0037b623b | [
"MIT"
] | 1 | 2020-04-02T17:35:35.000Z | 2020-04-02T17:35:35.000Z | import sys
import traceback
from ggplib.util import log
from ggplib.statemachine import builder
from ggplib.db import signature
class GameInfo(object):
def __init__(self, game, gdl_str):
self.game = game
self.gdl_str = gdl_str
# might be None, depends on whether we grab it from sig.json
... | 28.206349 | 88 | 0.566798 | 1,113 | 8,885 | 4.330638 | 0.18239 | 0.021162 | 0.029876 | 0.009336 | 0.269917 | 0.228838 | 0.201037 | 0.154979 | 0.079046 | 0.058506 | 0 | 0.006455 | 0.319977 | 8,885 | 314 | 89 | 28.296178 | 0.791294 | 0.074733 | 0 | 0.257426 | 0 | 0 | 0.06699 | 0.00261 | 0 | 0 | 0 | 0 | 0.014851 | 1 | 0.108911 | false | 0.024752 | 0.049505 | 0.024752 | 0.247525 | 0.004951 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e658277a9b24094cf1e76fa7c348cccc93b01df | 7,352 | py | Python | main.py | dogerish/pic2html | cca9d032fb2325cb8c220cd0f5f632235d0f8c94 | [
"MIT"
] | null | null | null | main.py | dogerish/pic2html | cca9d032fb2325cb8c220cd0f5f632235d0f8c94 | [
"MIT"
] | null | null | null | main.py | dogerish/pic2html | cca9d032fb2325cb8c220cd0f5f632235d0f8c94 | [
"MIT"
] | null | null | null | #! /usr/bin/python3
import sys, re
from PIL import Image
# return the argument if it exists (converted to the same type as the default), otherwise default
default = lambda arg, defa: type(defa)(sys.argv[arg]) if len(sys.argv) > arg and sys.argv[arg] else defa
# filename of image to evaluate, default is image.jpg
IMAG... | 37.131313 | 104 | 0.569777 | 1,043 | 7,352 | 3.985618 | 0.249281 | 0.004811 | 0.025259 | 0.016358 | 0.121482 | 0.1121 | 0.095502 | 0.095502 | 0.083474 | 0.075054 | 0 | 0.019604 | 0.320049 | 7,352 | 197 | 105 | 37.319797 | 0.811962 | 0.314608 | 0 | 0.070175 | 0 | 0 | 0.02943 | 0.010482 | 0 | 0 | 0 | 0 | 0 | 1 | 0.131579 | false | 0.008772 | 0.017544 | 0.061404 | 0.298246 | 0.008772 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e6b5fa33d845c1a9c9c556d16d04f10c237dd56 | 3,401 | py | Python | ising_model/hamiltonian.py | FeiQuantumSoftware/ising_model | 6d8b177678aa953840fc01616dc7c789d9531b93 | [
"BSD-3-Clause"
] | null | null | null | ising_model/hamiltonian.py | FeiQuantumSoftware/ising_model | 6d8b177678aa953840fc01616dc7c789d9531b93 | [
"BSD-3-Clause"
] | null | null | null | ising_model/hamiltonian.py | FeiQuantumSoftware/ising_model | 6d8b177678aa953840fc01616dc7c789d9531b93 | [
"BSD-3-Clause"
] | null | null | null | """coupling Hamiltonian class def"""
from math import exp
import numpy as np
from .spinconfig import SpinConfig
class Hamiltonian():
"""Create a class of Hamiltonian of 2-d Ising model.
Parameters
----------
J: float, optional
Coupling parameter, default J=-2 .
u: float, optional
... | 25.007353 | 91 | 0.486622 | 397 | 3,401 | 4.151134 | 0.307305 | 0.007282 | 0.040049 | 0.041869 | 0.071602 | 0.071602 | 0.050971 | 0 | 0 | 0 | 0 | 0.057309 | 0.39459 | 3,401 | 135 | 92 | 25.192593 | 0.743079 | 0.433108 | 0 | 0.078431 | 0 | 0 | 0.022945 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.176471 | 0.039216 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e7096429698d4dbcba3e4c9717842932c8154f8 | 1,363 | py | Python | app.py | IamSilentBot/Guardzilla | 8ca9dcda2d99cba1628b708a770a34dd726acd9e | [
"MIT"
] | 1 | 2022-02-05T22:55:50.000Z | 2022-02-05T22:55:50.000Z | app.py | IamSilentBot/Guardzilla | 8ca9dcda2d99cba1628b708a770a34dd726acd9e | [
"MIT"
] | null | null | null | app.py | IamSilentBot/Guardzilla | 8ca9dcda2d99cba1628b708a770a34dd726acd9e | [
"MIT"
] | 1 | 2022-02-21T17:47:39.000Z | 2022-02-21T17:47:39.000Z | import nextcord
from nextcord.ext import commands
import json
import os
import pymongo
import os
from keep_alive import keep_alive
# Set environment variables
# os.environ['info'] = "test:pass123"
# os.environ['TOKEN'] = "MY-AWSOME-TOKEN"
intents = nextcord.Intents.all()
TOKEN = os.environ['TOKEN']
async def prefi... | 27.816327 | 117 | 0.681585 | 192 | 1,363 | 4.713542 | 0.427083 | 0.046409 | 0.026519 | 0.075138 | 0.108287 | 0.108287 | 0.055249 | 0.055249 | 0 | 0 | 0 | 0.010508 | 0.162142 | 1,363 | 48 | 118 | 28.395833 | 0.781961 | 0.074101 | 0 | 0.117647 | 0 | 0.029412 | 0.186804 | 0.100954 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.205882 | 0 | 0.264706 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e73eaef843757f7ea7a8bbd35f9c54ff770774c | 6,878 | py | Python | chatbot/interact.py | VictorDebray/RoadBuddy | 9c62e2acd2d540caa0ebefc50af5446c0d4f864f | [
"MIT"
] | null | null | null | chatbot/interact.py | VictorDebray/RoadBuddy | 9c62e2acd2d540caa0ebefc50af5446c0d4f864f | [
"MIT"
] | null | null | null | chatbot/interact.py | VictorDebray/RoadBuddy | 9c62e2acd2d540caa0ebefc50af5446c0d4f864f | [
"MIT"
] | null | null | null | # Author: DINDIN Meryll
# Date: 15 September 2019
# Project: RoadBuddy
try: from chatbot.imports import *
except: from imports import *
class Contextualizer:
def __init__(self):
try:
self._load_models()
except:
drc = ['mo... | 38 | 126 | 0.604536 | 829 | 6,878 | 4.834741 | 0.289505 | 0.026946 | 0.041168 | 0.026198 | 0.202844 | 0.133234 | 0.062874 | 0.043912 | 0.043912 | 0 | 0 | 0.011457 | 0.276679 | 6,878 | 180 | 127 | 38.211111 | 0.794171 | 0.064117 | 0 | 0.063636 | 0 | 0 | 0.089494 | 0.033463 | 0 | 0 | 0 | 0 | 0.009091 | 1 | 0.127273 | false | 0 | 0.018182 | 0 | 0.263636 | 0.009091 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e76f4bcaf6c2b3ef6bdb2c9d12ef79f80ffb1ec | 13,152 | py | Python | iceprod/server/rest/datasets.py | WIPACrepo/iceprod | 83615da9b0e764bc2498ac588cc2e2b3f5277235 | [
"MIT"
] | 2 | 2017-01-23T17:12:41.000Z | 2019-01-14T13:38:17.000Z | iceprod/server/rest/datasets.py | WIPACrepo/iceprod | 83615da9b0e764bc2498ac588cc2e2b3f5277235 | [
"MIT"
] | 242 | 2016-05-09T18:46:51.000Z | 2022-03-31T22:02:29.000Z | iceprod/server/rest/datasets.py | WIPACrepo/iceprod | 83615da9b0e764bc2498ac588cc2e2b3f5277235 | [
"MIT"
] | 2 | 2017-03-27T09:13:40.000Z | 2019-01-27T10:55:30.000Z | import logging
import json
import uuid
from collections import defaultdict
import tornado.web
import tornado.httpclient
from tornado.platform.asyncio import to_asyncio_future
import pymongo
import motor
from rest_tools.client import RestClient
from iceprod.server.rest import RESTHandler, RESTHandlerSetup, authorizati... | 34.978723 | 122 | 0.586603 | 1,512 | 13,152 | 4.973545 | 0.168651 | 0.05266 | 0.035904 | 0.057447 | 0.391489 | 0.353457 | 0.330452 | 0.307048 | 0.280452 | 0.253059 | 0 | 0.008925 | 0.284367 | 13,152 | 375 | 123 | 35.072 | 0.790055 | 0.061359 | 0 | 0.27193 | 0 | 0 | 0.18022 | 0.023221 | 0 | 0 | 0 | 0.005333 | 0 | 1 | 0.008772 | false | 0 | 0.052632 | 0 | 0.100877 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e79f990859c3061f129402b3a92ec843ee5ea60 | 2,938 | py | Python | backend/utils/n9e_api.py | itimor/one-ops | f1111735de252012752dfabe11598e9690c89257 | [
"MIT"
] | null | null | null | backend/utils/n9e_api.py | itimor/one-ops | f1111735de252012752dfabe11598e9690c89257 | [
"MIT"
] | 6 | 2021-03-19T10:20:05.000Z | 2021-09-22T19:30:21.000Z | backend/utils/n9e_api.py | itimor/one-ops | f1111735de252012752dfabe11598e9690c89257 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# author: itimor
import requests
import json
try:
from urllib.parse import urlencode
except ImportError:
from urllib import urlencode
class FalconClient(object):
def __init__(self, endpoint=None, user=None, token=None, keys=[], session=None, ssl_verify=True):
self._endpoi... | 31.255319 | 112 | 0.566372 | 331 | 2,938 | 4.791541 | 0.335347 | 0.051072 | 0.04918 | 0.059899 | 0.0971 | 0.0971 | 0.080076 | 0.080076 | 0.052963 | 0 | 0 | 0.019118 | 0.30565 | 2,938 | 93 | 113 | 31.591398 | 0.758333 | 0.031995 | 0 | 0.056338 | 0 | 0 | 0.090236 | 0.011984 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070423 | false | 0.014085 | 0.070423 | 0 | 0.225352 | 0.042254 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e7ab87b888bbbe2383cfa6903a948e5d52465e7 | 9,035 | py | Python | tests/test_mapexplorer.py | OCHA-DAP/hdx-scraper-mapexplorer | 3fef67376815611657657c6d53ce904b8f9e4550 | [
"MIT"
] | null | null | null | tests/test_mapexplorer.py | OCHA-DAP/hdx-scraper-mapexplorer | 3fef67376815611657657c6d53ce904b8f9e4550 | [
"MIT"
] | null | null | null | tests/test_mapexplorer.py | OCHA-DAP/hdx-scraper-mapexplorer | 3fef67376815611657657c6d53ce904b8f9e4550 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
Unit tests for scrapername.
'''
import difflib
import filecmp
from datetime import datetime
from os.path import join
from tempfile import gettempdir
import pytest
from hdx.hdx_configuration import Configuration
import hdx.utilities.downloader
from hdx.utilities.compare im... | 44.727723 | 220 | 0.657554 | 1,017 | 9,035 | 5.576205 | 0.165192 | 0.047611 | 0.044437 | 0.044613 | 0.691589 | 0.611003 | 0.580674 | 0.537824 | 0.497972 | 0.44419 | 0 | 0.00607 | 0.2342 | 9,035 | 201 | 221 | 44.950249 | 0.813557 | 0.123962 | 0 | 0.525641 | 0 | 0.025641 | 0.182106 | 0.045748 | 0 | 0 | 0 | 0 | 0.044872 | 1 | 0.192308 | false | 0.019231 | 0.089744 | 0.070513 | 0.467949 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e81b7168137c8ead27ea61e73b96364b565fc1e | 708 | py | Python | 2016/day_06.py | nabiirah/advent-of-code | 9c7e7cae437c024aa05d9cb7f9211fd47f5226a2 | [
"MIT"
] | 24 | 2020-12-08T20:07:52.000Z | 2022-01-18T20:08:06.000Z | 2016/day_06.py | nestorhf/advent-of-code | 1bb827e9ea85e03e0720e339d10b3ed8c44d8f27 | [
"MIT"
] | null | null | null | 2016/day_06.py | nestorhf/advent-of-code | 1bb827e9ea85e03e0720e339d10b3ed8c44d8f27 | [
"MIT"
] | 10 | 2020-12-04T10:04:15.000Z | 2022-02-21T22:22:26.000Z | """ Advent of Code Day 6 - Signals and Noise"""
with open('inputs/day_06.txt', 'r') as f:
rows = [row.strip() for row in f.readlines()]
flipped = zip(*rows)
message = ''
mod_message = ''
for chars in flipped:
most_freq = ''
least_freq = ''
highest = 0
lowest = 100
for char in chars:
... | 22.83871 | 51 | 0.601695 | 94 | 708 | 4.425532 | 0.478723 | 0.096154 | 0.134615 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013699 | 0.278249 | 708 | 30 | 52 | 23.6 | 0.800391 | 0.101695 | 0 | 0 | 0 | 0 | 0.094099 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.095238 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e83689fcdf6c1f0b2f2c351aa1c6fe2dad28771 | 1,846 | py | Python | tasks.py | chmp/misc-exp | 2edc2ed598eb59f4ccb426e7a5c1a23343a6974b | [
"MIT"
] | 6 | 2017-10-31T20:54:37.000Z | 2020-10-23T19:03:00.000Z | tasks.py | chmp/misc-exp | 2edc2ed598eb59f4ccb426e7a5c1a23343a6974b | [
"MIT"
] | 7 | 2020-03-24T16:14:34.000Z | 2021-03-18T20:51:37.000Z | tasks.py | chmp/misc-exp | 2edc2ed598eb59f4ccb426e7a5c1a23343a6974b | [
"MIT"
] | 1 | 2019-07-29T07:55:49.000Z | 2019-07-29T07:55:49.000Z | import hashlib
import json
import os
import pathlib
import shlex
import nbformat
from invoke import task
files_to_format = ["chmp/src", "tasks.py", "chmp/setup.py"]
inventories = [
"http://daft-pgm.org",
"https://matplotlib.org",
"http://www.numpy.org",
"https://pandas.pydata.org",
"https://docs.... | 20.511111 | 84 | 0.566089 | 237 | 1,846 | 4.329114 | 0.434599 | 0.02729 | 0.01462 | 0.021443 | 0.038986 | 0.038986 | 0 | 0 | 0 | 0 | 0 | 0.006574 | 0.258397 | 1,846 | 89 | 85 | 20.741573 | 0.742878 | 0 | 0 | 0.134328 | 0 | 0 | 0.228061 | 0.023294 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089552 | false | 0 | 0.119403 | 0 | 0.238806 | 0.014925 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e83cc92299ecc7a687b5a70cfeda857351d4ef2 | 1,016 | py | Python | WeChat/translation.py | satoukiCk/SummerRobot | a22b17fb1927dcc1aa7316e2b892f7daee484583 | [
"MIT"
] | null | null | null | WeChat/translation.py | satoukiCk/SummerRobot | a22b17fb1927dcc1aa7316e2b892f7daee484583 | [
"MIT"
] | null | null | null | WeChat/translation.py | satoukiCk/SummerRobot | a22b17fb1927dcc1aa7316e2b892f7daee484583 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
import requests
import json
import random
import hashlib
KEY = ''
APPID = ''
API = 'http://api.fanyi.baidu.com/api/trans/vip/translate'
class translation():
def __init__(self,src, fromlang, tolang):
self.src = src
self.fromlang = fromlang
self.tolang = tolang
de... | 25.4 | 81 | 0.541339 | 122 | 1,016 | 4.434426 | 0.47541 | 0.051756 | 0.05915 | 0.062847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029619 | 0.302165 | 1,016 | 39 | 82 | 26.051282 | 0.733427 | 0.019685 | 0 | 0 | 0 | 0 | 0.125755 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.121212 | 0 | 0.242424 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e864e061007124f810efb595fdd8cc9331ec714 | 2,040 | py | Python | kicost/currency_converter/currency_converter.py | mdeweerd/KiCost | 2f67dad0f8d3335590835a6790181fc6428086d5 | [
"MIT"
] | null | null | null | kicost/currency_converter/currency_converter.py | mdeweerd/KiCost | 2f67dad0f8d3335590835a6790181fc6428086d5 | [
"MIT"
] | null | null | null | kicost/currency_converter/currency_converter.py | mdeweerd/KiCost | 2f67dad0f8d3335590835a6790181fc6428086d5 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# Copyright (c) 2021 Salvador E. Tropea
# Copyright (c) 2021 Instituto Nacional de Tecnología Industrial
# License: Apache 2.0
# Project: KiCost
# Adapted from: https://github.com/alexprengere/currencyconverter
"""
CurrencyConverter:
This is reduced version of the 'Currency Co... | 30.447761 | 77 | 0.666667 | 255 | 2,040 | 5.196078 | 0.431373 | 0.033962 | 0.031698 | 0.039245 | 0.10717 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012862 | 0.237745 | 2,040 | 66 | 78 | 30.909091 | 0.839228 | 0.457843 | 0 | 0 | 0 | 0 | 0.103922 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.107143 | 0 | 0.321429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e893aecc42c83f372f87792977e579561f4f1e5 | 385 | py | Python | apps/vector.py | HayesAJ83/LeafMapAppTest | 5da65d5c1958f47934453124a72ec800c0ce6a93 | [
"MIT"
] | 22 | 2021-08-10T05:11:47.000Z | 2022-02-27T14:35:30.000Z | apps/vector.py | HayesAJ83/LeafMapAppTest | 5da65d5c1958f47934453124a72ec800c0ce6a93 | [
"MIT"
] | null | null | null | apps/vector.py | HayesAJ83/LeafMapAppTest | 5da65d5c1958f47934453124a72ec800c0ce6a93 | [
"MIT"
] | 8 | 2021-10-04T13:10:32.000Z | 2021-11-17T12:32:57.000Z | import streamlit as st
import leafmap
def app():
st.title("Add vector datasets")
url = "https://raw.githubusercontent.com/giswqs/data/main/world/world_cities.csv"
in_csv = st.text_input("Enter a URL to a vector file", url)
m = leafmap.Map()
if in_csv:
m.add_xy_data(in_csv, x="longitude"... | 22.647059 | 85 | 0.675325 | 61 | 385 | 4.114754 | 0.639344 | 0.059761 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.18961 | 385 | 16 | 86 | 24.0625 | 0.804487 | 0 | 0 | 0 | 0 | 0 | 0.387013 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e90e63aeba9851ed0445a458eb6eb560cabb51f | 5,684 | py | Python | tests/unit/test_command.py | shintaii/flower | fdeb135ddb3718404c0f1e9cca73fc45181f611a | [
"BSD-3-Clause"
] | 4,474 | 2015-01-01T18:34:36.000Z | 2022-03-29T06:02:38.000Z | tests/unit/test_command.py | shintaii/flower | fdeb135ddb3718404c0f1e9cca73fc45181f611a | [
"BSD-3-Clause"
] | 835 | 2015-01-06T21:29:48.000Z | 2022-03-31T04:35:10.000Z | tests/unit/test_command.py | shintaii/flower | fdeb135ddb3718404c0f1e9cca73fc45181f611a | [
"BSD-3-Clause"
] | 980 | 2015-01-02T21:41:28.000Z | 2022-03-31T08:30:52.000Z | import os
import sys
import tempfile
import unittest
import subprocess
from unittest.mock import Mock, patch
import mock
from prometheus_client import Histogram
from flower.command import apply_options, warn_about_celery_args_used_in_flower_command, apply_env_options
from tornado.options import options
from tests.uni... | 39.748252 | 106 | 0.645144 | 677 | 5,684 | 5.172821 | 0.25997 | 0.029983 | 0.048544 | 0.068532 | 0.449172 | 0.408909 | 0.408909 | 0.368075 | 0.296402 | 0.296402 | 0 | 0.01049 | 0.228536 | 5,684 | 142 | 107 | 40.028169 | 0.788141 | 0.018473 | 0 | 0.304762 | 0 | 0 | 0.170132 | 0.031821 | 0 | 0 | 0 | 0 | 0.161905 | 1 | 0.152381 | false | 0 | 0.104762 | 0.009524 | 0.314286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e91557146c36922257c5f4c9ff456b0ce8b407c | 534 | py | Python | Trojan.py | alrocks29/alpha-backdoor | 16a2d0ffdb183005f687bdf19b25cc918a1f12a0 | [
"MIT"
] | null | null | null | Trojan.py | alrocks29/alpha-backdoor | 16a2d0ffdb183005f687bdf19b25cc918a1f12a0 | [
"MIT"
] | null | null | null | Trojan.py | alrocks29/alpha-backdoor | 16a2d0ffdb183005f687bdf19b25cc918a1f12a0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import requests
import subprocess
import os
import tempfile
def download(url):
get_response = requests.get(url)
file_name = url.split("/")[-1]
with open(file_name, "wb") as out_file:
out_file.write(get_response.content)
temp_directory = tempfile.gettempdir()
os.chdir(temp_d... | 21.36 | 44 | 0.724719 | 77 | 534 | 4.922078 | 0.519481 | 0.063325 | 0.073879 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002119 | 0.116105 | 534 | 24 | 45 | 22.25 | 0.800847 | 0.037453 | 0 | 0 | 0 | 0 | 0.167641 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.235294 | 0 | 0.294118 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e91fe4c0f8f01c97da338f53c30caedc69665c2 | 3,524 | py | Python | Assignments/Assignment_1/Q1/task1.py | Kaustubh1Verma/CS671_Deep-Learning_2019 | 062002a1369dc962feb52d3c9561a3f1153e0f84 | [
"MIT"
] | null | null | null | Assignments/Assignment_1/Q1/task1.py | Kaustubh1Verma/CS671_Deep-Learning_2019 | 062002a1369dc962feb52d3c9561a3f1153e0f84 | [
"MIT"
] | null | null | null | Assignments/Assignment_1/Q1/task1.py | Kaustubh1Verma/CS671_Deep-Learning_2019 | 062002a1369dc962feb52d3c9561a3f1153e0f84 | [
"MIT"
] | 1 | 2019-06-12T14:02:33.000Z | 2019-06-12T14:02:33.000Z | import numpy as np
import cv2
import math
import random
import os
from tempfile import TemporaryFile
from sklearn.model_selection import train_test_split
# Creating classes.
length=[7,15]
width=[1,3]
col=[]
col.append([0,0,255]) #Blue
col.append([255,0,0]) #Red
interval=15
angles=[]
x=0
while x<180:
angles.append(x... | 32.036364 | 126 | 0.653235 | 641 | 3,524 | 3.524181 | 0.215289 | 0.055777 | 0.12085 | 0.148738 | 0.361664 | 0.351926 | 0.326251 | 0.27313 | 0.216467 | 0.184595 | 0 | 0.071291 | 0.116345 | 3,524 | 110 | 127 | 32.036364 | 0.654143 | 0.200624 | 0 | 0.023529 | 0 | 0 | 0.13625 | 0.120115 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.082353 | 0 | 0.082353 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4e949a6f4b8f9d86c879098cae8dde8d91b75f85 | 10,163 | py | Python | helpers.py | jchanke/mixtape50 | 68d03034b503fd0374b9fcba1c1d5207ed7f0170 | [
"MIT"
] | 1 | 2022-03-15T11:49:54.000Z | 2022-03-15T11:49:54.000Z | helpers.py | jchanke/mixtape50 | 68d03034b503fd0374b9fcba1c1d5207ed7f0170 | [
"MIT"
] | null | null | null | helpers.py | jchanke/mixtape50 | 68d03034b503fd0374b9fcba1c1d5207ed7f0170 | [
"MIT"
] | null | null | null | """
Does the legwork of searching for matching tracks.
Contains:
(1) Search functions:
- search_message
- search_spotipy
- search_db
- search_lookup
(2) String parsers (to clean title name):
- clean_title
- remove_punctuation
(3) Creates new Spotify playlist.
- create_playlist
"""
from typing import Any, Lis... | 34.686007 | 168 | 0.630326 | 1,248 | 10,163 | 5.022436 | 0.258814 | 0.029834 | 0.014359 | 0.015795 | 0.25 | 0.190491 | 0.185227 | 0.17007 | 0.124442 | 0.115507 | 0 | 0.012773 | 0.25278 | 10,163 | 293 | 169 | 34.686007 | 0.812352 | 0.378136 | 0 | 0.169492 | 0 | 0 | 0.110387 | 0.038053 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059322 | false | 0 | 0.067797 | 0 | 0.228814 | 0.033898 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |