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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c8efed3e79232b9516d7cc9ae932653eb4f75e46 | 6,780 | py | Python | LAB2/search.py | Yalfoosh/UI-Labosi | 6c8f5796cafe603012ae94b9bd2adf4642c6a1e2 | [
"Apache-2.0"
] | null | null | null | LAB2/search.py | Yalfoosh/UI-Labosi | 6c8f5796cafe603012ae94b9bd2adf4642c6a1e2 | [
"Apache-2.0"
] | null | null | null | LAB2/search.py | Yalfoosh/UI-Labosi | 6c8f5796cafe603012ae94b9bd2adf4642c6a1e2 | [
"Apache-2.0"
] | 3 | 2018-03-26T13:40:24.000Z | 2019-06-07T14:02:26.000Z | import util
import copy
from util import Queue
from game import Directions
from game import Agent
from game import Actions
class SearchNode:
"""
This class represents a node in the graph which represents the search problem.
"""
def __init__(self, position, parent=None, transition=None, cost=0, heuris... | 33.564356 | 107 | 0.629056 | 793 | 6,780 | 5.331652 | 0.31652 | 0.002838 | 0.009934 | 0.010407 | 0.022706 | 0.006623 | 0.006623 | 0 | 0 | 0 | 0 | 0.010629 | 0.29233 | 6,780 | 201 | 108 | 33.731343 | 0.870571 | 0.05295 | 0 | 0.040404 | 0 | 0 | 0.035632 | 0 | 0 | 0 | 0 | 0 | 0.020202 | 0 | null | null | 0 | 0.070707 | null | null | 0.020202 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c8f583b5fb15b62fad8f78d2f34ed49e623db673 | 289 | py | Python | 05/d_fibonacci sequence.py | koshin117/python-learning | 68dd99e2f72fff7507a874c11511415fef3c9354 | [
"MIT"
] | 1 | 2021-03-29T08:30:19.000Z | 2021-03-29T08:30:19.000Z | 05/d_fibonacci sequence.py | koshin117/python-learning | 68dd99e2f72fff7507a874c11511415fef3c9354 | [
"MIT"
] | null | null | null | 05/d_fibonacci sequence.py | koshin117/python-learning | 68dd99e2f72fff7507a874c11511415fef3c9354 | [
"MIT"
] | null | null | null | #D
def fibonacci(N :int) -> int:
if N == 1:
return 1
elif N == 2:
return 1
else:
return fibonacci(N-2)+fibonacci(N-1)
def main():
# input
N = int(input())
# compute
# output
print(fibonacci(N))
if __name__ == '__main__':
main()
| 16.055556 | 44 | 0.508651 | 39 | 289 | 3.564103 | 0.435897 | 0.28777 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031579 | 0.342561 | 289 | 17 | 45 | 17 | 0.7 | 0.076125 | 0 | 0.166667 | 0 | 0 | 0.030418 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.416667 | 0.083333 | 0 | 0 | 0 | null | 1 | 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 | 0 | 1 |
c8f590f04dfad5daa4653516c3cbd0620fda7b54 | 3,211 | py | Python | ssd_test.py | s-ishikawa-0921/paripi_ssd_keras | bec1ab1c142515795cafb448d2f3e87366d535df | [
"MIT"
] | null | null | null | ssd_test.py | s-ishikawa-0921/paripi_ssd_keras | bec1ab1c142515795cafb448d2f3e87366d535df | [
"MIT"
] | null | null | null | ssd_test.py | s-ishikawa-0921/paripi_ssd_keras | bec1ab1c142515795cafb448d2f3e87366d535df | [
"MIT"
] | null | null | null | import cv2
import keras
from keras.applications.imagenet_utils import preprocess_input
from keras.backend.tensorflow_backend import set_session
from keras.models import Model
from keras.preprocessing import image
import matplotlib.pyplot as plt
import numpy as np
from scipy.misc import imread
import tensorflow as tf
f... | 29.731481 | 115 | 0.669262 | 482 | 3,211 | 4.26556 | 0.327801 | 0.034047 | 0.025292 | 0.022374 | 0.051556 | 0.027237 | 0 | 0 | 0 | 0 | 0 | 0.024268 | 0.191529 | 3,211 | 108 | 116 | 29.731481 | 0.76772 | 0.044846 | 0 | 0 | 0 | 0 | 0.029047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.181818 | null | null | 0.025974 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c8f5a380fb962e4d3a36ddca554eb3e24c5c85d2 | 494 | py | Python | code/1641.Count-Sorted-Vowel-Strings.py | Aden-Q/leetcode | ebd4804edd4f172b9981b22c18d9ff654cf20762 | [
"Apache-2.0"
] | 1 | 2019-09-22T03:08:14.000Z | 2019-09-22T03:08:14.000Z | code/1641.Count-Sorted-Vowel-Strings.py | Aden-Q/leetcode | ebd4804edd4f172b9981b22c18d9ff654cf20762 | [
"Apache-2.0"
] | null | null | null | code/1641.Count-Sorted-Vowel-Strings.py | Aden-Q/leetcode | ebd4804edd4f172b9981b22c18d9ff654cf20762 | [
"Apache-2.0"
] | null | null | null | class Solution:
def countVowelStrings(self, n: int) -> int:
d = ['a', 'e', 'i', 'o', 'u']
path = []
count = 0
def backtracking(n, start):
nonlocal count
if n == 0:
count += 1
return
for i in range(start, 5):... | 26 | 47 | 0.388664 | 51 | 494 | 3.764706 | 0.54902 | 0.203125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024096 | 0.495951 | 494 | 19 | 48 | 26 | 0.746988 | 0 | 0 | 0.117647 | 0 | 0 | 0.010101 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0 | 0 | 0.352941 | 0 | 0 | 0 | 0 | null | 1 | 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 | 0 | 1 |
c8ff687388a5d7532bb223670ff86f9c593e9f9a | 11,931 | py | Python | cs15211/RegularExpressionMatching.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | 1 | 2021-07-05T01:53:30.000Z | 2021-07-05T01:53:30.000Z | cs15211/RegularExpressionMatching.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | null | null | null | cs15211/RegularExpressionMatching.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | 1 | 2018-01-08T07:14:08.000Z | 2018-01-08T07:14:08.000Z | # coding=utf-8
__source__ = 'https://leetcode.com/problems/regular-expression-matching/'
# https://github.com/kamyu104/LeetCode/blob/master/Python/regular-expression-matching.py
# Time: O(m * n)
# Space: O(n)
# DP
# "*" cannot be the first char?
#
# Description: Leetcode # 10. Regular Expression Matching
#
# Given an ... | 37.756329 | 121 | 0.495097 | 1,829 | 11,931 | 3.185894 | 0.15637 | 0.018534 | 0.012356 | 0.014416 | 0.440707 | 0.386305 | 0.322121 | 0.270465 | 0.198902 | 0.152737 | 0 | 0.032411 | 0.327634 | 11,931 | 315 | 122 | 37.87619 | 0.693219 | 0.176934 | 0 | 0.24186 | 0 | 0.130233 | 0.567173 | 0.013962 | 0 | 0 | 0 | 0 | 0.004651 | 0 | null | null | 0.004651 | 0.004651 | null | null | 0.018605 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7400a3778238dffc22177ebdc594613d4ad80a14 | 17,883 | py | Python | src/trigger_lstm.py | qolina/NNED | 786853cfa51aa911a0066c6e4fe8a8f7e5973bb9 | [
"MIT"
] | 21 | 2017-10-17T03:26:19.000Z | 2021-06-24T08:05:57.000Z | src/trigger_lstm.py | qolina/NNED | 786853cfa51aa911a0066c6e4fe8a8f7e5973bb9 | [
"MIT"
] | 5 | 2018-01-26T14:15:04.000Z | 2019-01-25T02:32:35.000Z | src/trigger_lstm.py | qolina/NNED | 786853cfa51aa911a0066c6e4fe8a8f7e5973bb9 | [
"MIT"
] | 12 | 2017-09-04T08:16:44.000Z | 2019-11-24T16:09:07.000Z | # This file mainly implements a basic attention model for neural event extraction
# input file consists of sentences which contain one-event.
import os
import re
import sys
import time
import random
import cPickle
from collections import Counter
from aceEventUtil import loadEventHierarchy
#from get_constituent_topdown_... | 46.090206 | 183 | 0.65772 | 2,448 | 17,883 | 4.506536 | 0.115196 | 0.026106 | 0.017676 | 0.012237 | 0.509608 | 0.457578 | 0.415972 | 0.381889 | 0.357052 | 0.340192 | 0 | 0.012418 | 0.229995 | 17,883 | 387 | 184 | 46.209302 | 0.788744 | 0.169099 | 0 | 0.257692 | 0 | 0 | 0.046853 | 0.008388 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.107692 | null | null | 0.069231 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7402fdf9f644f25f48183588fba0ae0c47a2a22c | 1,216 | py | Python | app.py | ryukeno/ML-DiabetePrediction-WebApp | 380c9ec95cd08b9d3df7d50b5d41deaf7b8aa585 | [
"MIT"
] | 1 | 2021-03-16T00:42:34.000Z | 2021-03-16T00:42:34.000Z | app.py | ryukeno/ML-DiabetePrediction-WebApp | 380c9ec95cd08b9d3df7d50b5d41deaf7b8aa585 | [
"MIT"
] | null | null | null | app.py | ryukeno/ML-DiabetePrediction-WebApp | 380c9ec95cd08b9d3df7d50b5d41deaf7b8aa585 | [
"MIT"
] | null | null | null | import streamlit as st
import streamlit.components.v1 as stc
from eda_app import run_eda_app
from ml_app import run_ml_app
html_temp = """
<div style="background-color:#3872fb;padding:10px;border-radius:10px">
<h1 style="color:white;text-align:center;">Early Stage DM Risk Data App </h1>
<h4 style="color:white;... | 28.27907 | 99 | 0.689967 | 179 | 1,216 | 4.575419 | 0.497207 | 0.021978 | 0.029304 | 0.046398 | 0.07326 | 0.07326 | 0 | 0 | 0 | 0 | 0 | 0.012733 | 0.160362 | 1,216 | 43 | 100 | 28.27907 | 0.789422 | 0.030428 | 0 | 0 | 0 | 0.055556 | 0.602716 | 0.132428 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.111111 | 0 | 0.138889 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7407301e2180cfba72b1ea576b64f9d6395bf3aa | 1,204 | py | Python | src/pyra/Test.py | MagnusS/pyradac | 654c92d5d1c8ac41249a1aabe0ff6609bf8f8979 | [
"BSD-2-Clause"
] | null | null | null | src/pyra/Test.py | MagnusS/pyradac | 654c92d5d1c8ac41249a1aabe0ff6609bf8f8979 | [
"BSD-2-Clause"
] | null | null | null | src/pyra/Test.py | MagnusS/pyradac | 654c92d5d1c8ac41249a1aabe0ff6609bf8f8979 | [
"BSD-2-Clause"
] | 1 | 2020-05-19T08:10:57.000Z | 2020-05-19T08:10:57.000Z | '''
Created on 27. mars 2014
@author: tul
'''
import ra
nodeRange=range(1,22)
raList=[]
for node in nodeRange:
print node
#create all the RA instances
#First par: ID number
#Second par: True if only local decisions (alg 1), False if use neighbor info (alg 2)
#Third: Memory for neighbor warnings
... | 30.1 | 104 | 0.665282 | 157 | 1,204 | 5.101911 | 0.566879 | 0.014981 | 0.024969 | 0.037453 | 0.044944 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032044 | 0.248339 | 1,204 | 40 | 105 | 30.1 | 0.853039 | 0.375415 | 0 | 0 | 0 | 0 | 0.048851 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.055556 | null | null | 0.277778 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
cdb27b0b7638e80aa0ae65b099fd8d6c45cdb846 | 7,490 | py | Python | fits2png.py | IUSCA/imagex-importer | c127054e4c695fffc9ed8cac072d277c8a40b351 | [
"ECL-2.0"
] | null | null | null | fits2png.py | IUSCA/imagex-importer | c127054e4c695fffc9ed8cac072d277c8a40b351 | [
"ECL-2.0"
] | 1 | 2019-07-12T14:53:40.000Z | 2019-07-12T14:53:40.000Z | fits2png.py | IUSCA/imagex-importer | c127054e4c695fffc9ed8cac072d277c8a40b351 | [
"ECL-2.0"
] | null | null | null | #!/usr/bin/env python
import os
import sys
import numpy
import pyfits
from scipy.ndimage.interpolation import zoom
from optparse import OptionParser
from PIL import Image
from skimage import exposure
from skimage import io
import ConfigParser
config = ConfigParser.RawConfigParser()
if __name__ == "__main__":
# ... | 36.896552 | 117 | 0.561816 | 918 | 7,490 | 4.433551 | 0.267974 | 0.029484 | 0.040541 | 0.035381 | 0.186978 | 0.167076 | 0.125307 | 0.125307 | 0.107617 | 0.107617 | 0 | 0.027184 | 0.312417 | 7,490 | 202 | 118 | 37.079208 | 0.763107 | 0.054072 | 0 | 0.11465 | 0 | 0 | 0.137477 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.063694 | null | null | 0.044586 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
cdb5546d1c3a2ceab61857bfe58d41ed74580444 | 13,498 | py | Python | surveys/models.py | acounsel/zwazo | beeb3591674a8290a89704e3da56aa4d425418e8 | [
"MIT"
] | null | null | null | surveys/models.py | acounsel/zwazo | beeb3591674a8290a89704e3da56aa4d425418e8 | [
"MIT"
] | 10 | 2019-11-25T16:54:39.000Z | 2022-02-10T08:29:51.000Z | surveys/models.py | acounsel/zwazo | beeb3591674a8290a89704e3da56aa4d425418e8 | [
"MIT"
] | null | null | null | import csv
from django.db import models
from django.db.models import Count
from django.core.exceptions import ValidationError
from django.urls import reverse
from django.utils.text import slugify
from zwazo.storage_backends import PrivateMediaStorage
from accounts.models import Organization
def create_unique_slug(i... | 36.284946 | 128 | 0.648392 | 1,616 | 13,498 | 5.248144 | 0.127475 | 0.037142 | 0.061549 | 0.082066 | 0.528829 | 0.477066 | 0.384742 | 0.341823 | 0.29572 | 0.261997 | 0 | 0.008955 | 0.230627 | 13,498 | 371 | 129 | 36.382749 | 0.807703 | 0.005186 | 0 | 0.309446 | 0 | 0 | 0.058022 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.123779 | false | 0 | 0.032573 | 0.058632 | 0.638436 | 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 | 1 | 0 | 0 | 1 |
cdceb5ad8a7f8ab07759429f83c9044eed42ae9c | 11,792 | py | Python | Untitled1.py | kabir12345/DASM | 86f777c47a83f400c2f99e9f71dcc3a40b9d3143 | [
"Apache-2.0"
] | 1 | 2021-06-07T02:55:01.000Z | 2021-06-07T02:55:01.000Z | Untitled1.py | kabir12345/DASM | 86f777c47a83f400c2f99e9f71dcc3a40b9d3143 | [
"Apache-2.0"
] | null | null | null | Untitled1.py | kabir12345/DASM | 86f777c47a83f400c2f99e9f71dcc3a40b9d3143 | [
"Apache-2.0"
] | 1 | 2021-03-22T05:49:30.000Z | 2021-03-22T05:49:30.000Z |
# coding: utf-8
# In[1]:
import nltk
from random import randint
import numpy as np
import random
import string
import pickle
import pandas as pd
from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/chatbot', met... | 39.703704 | 207 | 0.504155 | 1,309 | 11,792 | 4.375095 | 0.161956 | 0.100576 | 0.081718 | 0.081194 | 0.616728 | 0.559106 | 0.521041 | 0.521041 | 0.521041 | 0.521041 | 0 | 0.015933 | 0.398575 | 11,792 | 296 | 208 | 39.837838 | 0.791596 | 0.09057 | 0 | 0.605634 | 0 | 0.004695 | 0.150323 | 0.004929 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.042254 | null | null | 0.122066 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
cdd9e8ed2583050ceed17590d5de8745d3081a87 | 1,554 | py | Python | windriver/titanium_cloud/swagger/urls.py | onap/multicloud-openstack | d0e41eb1b1a1cb79365836da728908ed26253db4 | [
"CC-BY-4.0"
] | 4 | 2018-10-24T15:20:14.000Z | 2020-03-09T06:29:11.000Z | windriver/titanium_cloud/swagger/urls.py | onap/multicloud-openstack | d0e41eb1b1a1cb79365836da728908ed26253db4 | [
"CC-BY-4.0"
] | null | null | null | windriver/titanium_cloud/swagger/urls.py | onap/multicloud-openstack | d0e41eb1b1a1cb79365836da728908ed26253db4 | [
"CC-BY-4.0"
] | 2 | 2020-08-03T13:45:44.000Z | 2021-09-15T21:10:26.000Z | # Copyright (c) 2017-2018 Wind River Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 39.846154 | 103 | 0.78121 | 206 | 1,554 | 5.820388 | 0.480583 | 0.050042 | 0.056714 | 0.080067 | 0.276897 | 0.276897 | 0.160133 | 0.091743 | 0.091743 | 0 | 0 | 0.022239 | 0.131918 | 1,554 | 38 | 104 | 40.894737 | 0.866568 | 0.444015 | 0 | 0 | 0 | 0 | 0.219858 | 0.219858 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.461538 | 0 | 0.461538 | 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 | 1 | 0 | 0 | 0 | 0 | 1 |
cde9ede91e9c786d7cc3d0350fc676abebeea75a | 279 | py | Python | strings/strftime.py | rtorres90/python_playground | ee4fcd32135eddaf83c7f0cff20bf9401a0838bc | [
"MIT"
] | null | null | null | strings/strftime.py | rtorres90/python_playground | ee4fcd32135eddaf83c7f0cff20bf9401a0838bc | [
"MIT"
] | null | null | null | strings/strftime.py | rtorres90/python_playground | ee4fcd32135eddaf83c7f0cff20bf9401a0838bc | [
"MIT"
] | null | null | null | """Ejemplos para utilizar strftime con datetime."""
# -*- coding: utf-8 -*-
from datetime import datetime
date1 = datetime(2011, 4, 23, 12, 22, 3)
date2 = datetime(2015, 1, 2, 8, 20, 13)
print date1.strftime("%b %d %Y %H:%M:%S")
print date2.strftime("%d del %m del año %Y")
| 21.461538 | 51 | 0.637993 | 47 | 279 | 3.787234 | 0.702128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121212 | 0.172043 | 279 | 12 | 52 | 23.25 | 0.649351 | 0.075269 | 0 | 0 | 0 | 0 | 0.180488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.2 | null | null | 0.4 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
cdfd6430b18b5c0bb599e678fedc61019be2636d | 2,093 | py | Python | interaction_prediction/submission.py | david9dragon9/AIR | cbcb7cb74f4280596ede9d998f75f20c272843bd | [
"Apache-2.0"
] | 16 | 2021-06-20T17:01:46.000Z | 2021-12-16T19:04:42.000Z | interaction_prediction/submission.py | david9dragon9/AIR | cbcb7cb74f4280596ede9d998f75f20c272843bd | [
"Apache-2.0"
] | 1 | 2022-03-03T08:49:40.000Z | 2022-03-04T03:24:09.000Z | interaction_prediction/submission.py | david9dragon9/AIR | cbcb7cb74f4280596ede9d998f75f20c272843bd | [
"Apache-2.0"
] | 4 | 2021-08-18T13:36:42.000Z | 2022-03-04T06:03:44.000Z | # InteractionSubmission:
import tensorflow as tf
import numpy as np
from waymo_open_dataset.protos import motion_submission_pb2
def eval_and_generate_submission(model, eval_dataset, num_modes = 6):
submission = motion_submission_pb2.MotionChallengeSubmission()
submission.submission_type = 2
submission.affiliatio... | 43.604167 | 101 | 0.706641 | 252 | 2,093 | 5.595238 | 0.337302 | 0.06383 | 0.048227 | 0.053191 | 0.120567 | 0.042553 | 0 | 0 | 0 | 0 | 0 | 0.012537 | 0.199713 | 2,093 | 48 | 102 | 43.604167 | 0.829254 | 0.046823 | 0 | 0 | 1 | 0 | 0.014558 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.069767 | 0 | 0.139535 | 0.023256 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a801223708f4675f384b3111e3750cb69c96f117 | 770 | py | Python | CacheInspector/profile/legacy/kde.py | yl3469/CloudModeling | a7b0247f4396818384fb84c2818ad88b7a3b9af5 | [
"BSD-3-Clause"
] | 6 | 2018-09-19T20:26:57.000Z | 2021-09-23T15:35:24.000Z | CacheInspector/profile/legacy/kde.py | yl3469/CloudModeling | a7b0247f4396818384fb84c2818ad88b7a3b9af5 | [
"BSD-3-Clause"
] | null | null | null | CacheInspector/profile/legacy/kde.py | yl3469/CloudModeling | a7b0247f4396818384fb84c2818ad88b7a3b9af5 | [
"BSD-3-Clause"
] | 3 | 2019-02-23T22:11:00.000Z | 2022-02-24T02:02:15.000Z | #!/usr/bin/python
from scipy.stats import gaussian_kde
from scipy.signal import argrelextrema
import numpy as np
import sys
# import matplotlib.pyplot as plt
if __name__ == "__main__":
if len(sys.argv) < 3:
print "%s <data file> <cache level> [bin=0.15]" % sys.argv[0]
exit(0)
dat = np.loadtxt(sys.argv[1])
... | 29.615385 | 93 | 0.663636 | 131 | 770 | 3.801527 | 0.496183 | 0.084337 | 0.032129 | 0.048193 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032864 | 0.17013 | 770 | 25 | 94 | 30.8 | 0.746479 | 0.102597 | 0 | 0 | 0 | 0 | 0.074236 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.2 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a804487d4c6d54242c24f04060ff78d49816d10a | 1,734 | py | Python | apps/qfile/views.py | lianxiaopang/camel-store-api | b8021250bf3d8cf7adc566deebdba55225148316 | [
"Apache-2.0"
] | 12 | 2020-02-01T01:52:01.000Z | 2021-04-28T15:06:43.000Z | apps/qfile/views.py | lianxiaopang/camel-store-api | b8021250bf3d8cf7adc566deebdba55225148316 | [
"Apache-2.0"
] | 5 | 2020-02-06T08:07:58.000Z | 2020-06-02T13:03:45.000Z | apps/qfile/views.py | lianxiaopang/camel-store-api | b8021250bf3d8cf7adc566deebdba55225148316 | [
"Apache-2.0"
] | 11 | 2020-02-03T13:07:46.000Z | 2020-11-29T01:44:06.000Z | from django.conf import settings
from rest_framework.permissions import IsAdminUser
from rest_framework import status, viewsets, decorators
from quser.permissions import CURDPermissionsOrReadOnly
from rest_framework.response import Response
from . import models, serializers
from .filters import FileFilter
class TagV... | 43.35 | 108 | 0.745098 | 182 | 1,734 | 6.950549 | 0.406593 | 0.071146 | 0.082213 | 0.053755 | 0.311462 | 0.197628 | 0.197628 | 0.197628 | 0.197628 | 0.197628 | 0 | 0.004129 | 0.162053 | 1,734 | 40 | 109 | 43.35 | 0.866483 | 0 | 0 | 0.181818 | 0 | 0 | 0.007493 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.212121 | 0 | 0.636364 | 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 | 1 | 0 | 0 | 1 |
a8058e8be9a5632befad8afbbb109327eeaeac8c | 344 | py | Python | irods_browser_app/urls.py | ResearchSoftwareInstitute/MyHPOM | 2d48fe5ac8d21173b1685eb33059bb391fe24414 | [
"BSD-3-Clause"
] | 1 | 2018-09-17T13:07:29.000Z | 2018-09-17T13:07:29.000Z | irods_browser_app/urls.py | ResearchSoftwareInstitute/MyHPOM | 2d48fe5ac8d21173b1685eb33059bb391fe24414 | [
"BSD-3-Clause"
] | 100 | 2017-08-01T23:48:04.000Z | 2018-04-03T13:17:27.000Z | irods_browser_app/urls.py | ResearchSoftwareInstitute/MyHPOM | 2d48fe5ac8d21173b1685eb33059bb391fe24414 | [
"BSD-3-Clause"
] | 2 | 2017-07-27T20:41:33.000Z | 2017-07-27T22:40:57.000Z | from django.conf.urls import patterns, url
from irods_browser_app import views
urlpatterns = patterns('',
url(r'^login/$',views.login, name='irods_login'),
url(r'^store/$',views.store, name='irods_store'),
url(r'^upload/$',views.upload, name='irods_upload'),
url(r'^upload_add/$',views.upload_add, name=... | 34.4 | 68 | 0.697674 | 50 | 344 | 4.62 | 0.36 | 0.069264 | 0.08658 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.113372 | 344 | 9 | 69 | 38.222222 | 0.757377 | 0 | 0 | 0 | 0 | 0 | 0.255814 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a80eee63ab4a53bc856ee500d890bc99af9797e7 | 7,113 | py | Python | flask_web_app.py | mrsixw/git-statistics | 9f0bf1fc2c873136e3f0728a12248344bc526287 | [
"Apache-2.0"
] | null | null | null | flask_web_app.py | mrsixw/git-statistics | 9f0bf1fc2c873136e3f0728a12248344bc526287 | [
"Apache-2.0"
] | null | null | null | flask_web_app.py | mrsixw/git-statistics | 9f0bf1fc2c873136e3f0728a12248344bc526287 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import sqlite3
import os
import plotly
import json
from flask import Flask, render_template, session, g
from flask_bootstrap import Bootstrap
from git_insight_generator import generate_branch_insight, generate_monthly_commit_data, generate_month_change_data, generate_commit_time_of_day
import lo... | 30.139831 | 144 | 0.461268 | 764 | 7,113 | 4.120419 | 0.263089 | 0.063532 | 0.034308 | 0.049555 | 0.325286 | 0.28526 | 0.202668 | 0.194091 | 0.186468 | 0.156607 | 0 | 0.023382 | 0.428792 | 7,113 | 236 | 145 | 30.139831 | 0.751415 | 0.037115 | 0 | 0.410256 | 0 | 0 | 0.093713 | 0.003947 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.041026 | null | null | 0.020513 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a81b07f4d710cf0ea7aa28648a35d48ad9f08929 | 1,626 | py | Python | tests/sortables/migrations/0001_initial.py | dldevinc/paper_admin | ef90605cabdbd2bf966a7b11d5a0a69b72a3dd87 | [
"BSD-3-Clause"
] | 8 | 2021-03-01T00:12:01.000Z | 2022-01-18T10:54:20.000Z | tests/sortables/migrations/0001_initial.py | dldevinc/paper_admin | ef90605cabdbd2bf966a7b11d5a0a69b72a3dd87 | [
"BSD-3-Clause"
] | 7 | 2020-02-11T21:54:07.000Z | 2022-03-16T15:22:35.000Z | tests/sortables/migrations/0001_initial.py | dldevinc/paper_admin | ef90605cabdbd2bf966a7b11d5a0a69b72a3dd87 | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 2.1.15 on 2021-05-21 08:24
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Company',
fields=[
... | 39.658537 | 140 | 0.597786 | 168 | 1,626 | 5.642857 | 0.35119 | 0.092827 | 0.067511 | 0.101266 | 0.622363 | 0.622363 | 0.622363 | 0.582278 | 0.582278 | 0.528481 | 0 | 0.024126 | 0.260763 | 1,626 | 40 | 141 | 40.65 | 0.764559 | 0.02829 | 0 | 0.454545 | 1 | 0 | 0.098226 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.060606 | 0 | 0.181818 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a81d2b56fba27e97965673f696bbdeb0298e4b33 | 12,986 | py | Python | src/fitter.py | cemulate/minecraft-hdl | a46da8d2a29aad9c2fc84037d677190c6db80dcd | [
"MIT"
] | 5 | 2015-09-11T04:13:01.000Z | 2021-11-17T14:35:28.000Z | src/fitter.py | cemulate/minecraft-hdl | a46da8d2a29aad9c2fc84037d677190c6db80dcd | [
"MIT"
] | null | null | null | src/fitter.py | cemulate/minecraft-hdl | a46da8d2a29aad9c2fc84037d677190c6db80dcd | [
"MIT"
] | 1 | 2021-03-15T17:31:27.000Z | 2021-03-15T17:31:27.000Z | from __future__ import division
from pymclevel.schematic import MCSchematic
from pymclevel.box import BoundingBox
from pymclevel import alphaMaterials
from block_constants import *
def add_tuples(x, y):
return tuple(sum(i) for i in zip(x, y))
def fit_elements(meta_input, element_list, OPTIONS):
schemat... | 40.9653 | 124 | 0.579393 | 1,766 | 12,986 | 4.089468 | 0.147792 | 0.031016 | 0.036555 | 0.052617 | 0.620465 | 0.593603 | 0.579618 | 0.572971 | 0.54874 | 0.522293 | 0 | 0.015871 | 0.335284 | 12,986 | 317 | 125 | 40.9653 | 0.820783 | 0.228246 | 0 | 0.536723 | 0 | 0 | 0.01062 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.028249 | null | null | 0.022599 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a821e039c41258f9daa91db8b278081ab437dbee | 928 | py | Python | Backend/test/shell.py | AlbatrossBill/COSC4P02Project | c48682c014ab9de4847d46cffc710d386db93c0f | [
"MIT"
] | 4 | 2022-01-15T22:04:06.000Z | 2022-01-24T01:46:46.000Z | Backend/test/shell.py | AlbatrossBill/COSC4P02Project | c48682c014ab9de4847d46cffc710d386db93c0f | [
"MIT"
] | null | null | null | Backend/test/shell.py | AlbatrossBill/COSC4P02Project | c48682c014ab9de4847d46cffc710d386db93c0f | [
"MIT"
] | 1 | 2022-01-24T01:31:57.000Z | 2022-01-24T01:31:57.000Z | import nltk
import string
import requests
import json
from io import StringIO
from html.parser import HTMLParser
import os
import time
from sys import platform
path = ""
if platform == "linux" or platform == "linux2":
path = os.path.dirname(os.path.realpath(__file__)).replace("test","data/nltk")
elif ... | 27.294118 | 84 | 0.68319 | 125 | 928 | 4.872 | 0.384 | 0.059113 | 0.049261 | 0.083744 | 0.305419 | 0.305419 | 0.305419 | 0.305419 | 0.305419 | 0.305419 | 0 | 0.009021 | 0.163793 | 928 | 34 | 85 | 27.294118 | 0.775773 | 0 | 0 | 0.068966 | 0 | 0 | 0.15625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.310345 | 0 | 0.37931 | 0.068966 | 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 | 1 | 0 | 0 | 0 | 0 | 1 |
a82aaa739b1ef543f0946c60a11e450693d76b9e | 4,593 | py | Python | geneosAlertsCsvMassage.py | daedaluschan/GeneosReportTools | ebd46f0821d7d2fb501e95435e479be7ca41ca36 | [
"CC0-1.0"
] | 3 | 2016-08-11T10:51:13.000Z | 2019-12-03T17:23:23.000Z | geneosAlertsCsvMassage.py | daedaluschan/GeneosReportTools | ebd46f0821d7d2fb501e95435e479be7ca41ca36 | [
"CC0-1.0"
] | null | null | null | geneosAlertsCsvMassage.py | daedaluschan/GeneosReportTools | ebd46f0821d7d2fb501e95435e479be7ca41ca36 | [
"CC0-1.0"
] | 3 | 2017-04-17T13:54:06.000Z | 2020-06-22T18:53:08.000Z | from os import listdir
from os.path import isfile, join
from shutil import move
from pandas import DataFrame as df
import pandas as pd
import csv
import requests
import string
from datetime import datetime
from lxml import etree
from lxml import html
incomingFolder = '.\\in'
outFolder = '.\\out'
doneFolder = '.\\do... | 40.289474 | 114 | 0.548008 | 523 | 4,593 | 4.638623 | 0.298279 | 0.009893 | 0.051937 | 0.06183 | 0.161171 | 0.136439 | 0.111707 | 0.111707 | 0.088623 | 0 | 0 | 0.01809 | 0.313956 | 4,593 | 113 | 115 | 40.646018 | 0.751825 | 0.005008 | 0 | 0 | 0 | 0 | 0.122811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.123596 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a82beea27f6a47d9ae0190ccf3f4eeba6fee7691 | 406 | py | Python | points/migrations/0004_spend_receipt.py | JXIong15/fetch-points | da3c2e295c9487a48fe911ea2cdc2c05df40602e | [
"MIT"
] | null | null | null | points/migrations/0004_spend_receipt.py | JXIong15/fetch-points | da3c2e295c9487a48fe911ea2cdc2c05df40602e | [
"MIT"
] | 1 | 2022-01-15T16:22:30.000Z | 2022-01-15T16:22:30.000Z | points/migrations/0004_spend_receipt.py | JXIong15/fetch-points | da3c2e295c9487a48fe911ea2cdc2c05df40602e | [
"MIT"
] | null | null | null | # Generated by Django 4.0.1 on 2022-01-12 23:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('points', '0003_spend_alter_transaction_timestamp'),
]
operations = [
migrations.AddField(
model_name='spend',
name='... | 21.368421 | 61 | 0.610837 | 44 | 406 | 5.522727 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.064626 | 0.275862 | 406 | 18 | 62 | 22.555556 | 0.761905 | 0.110837 | 0 | 0 | 1 | 0 | 0.155989 | 0.10585 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a82ff8260328cb1e2dbad1034d01eb663a95a1e2 | 1,204 | py | Python | Server/app/__init__.py | PPitson/depressiondetector | 06a8344d4f9f0c71619a187da9d882e522e4a8e2 | [
"Apache-2.0"
] | null | null | null | Server/app/__init__.py | PPitson/depressiondetector | 06a8344d4f9f0c71619a187da9d882e522e4a8e2 | [
"Apache-2.0"
] | 2 | 2021-03-18T20:23:08.000Z | 2021-06-08T19:23:35.000Z | Server/app/__init__.py | PPitson/depressiondetector | 06a8344d4f9f0c71619a187da9d882e522e4a8e2 | [
"Apache-2.0"
] | null | null | null | import indicoio
from celery import Celery
from flask import Flask
from flask_bootstrap import Bootstrap
from flask_googlemaps import GoogleMaps
from flask_mail import Mail
from flask_mongoengine import MongoEngine
from app.celery.factory import init_celery
from config import config, DEVELOPMENT_CONFIG_NAME
celery = C... | 23.153846 | 52 | 0.774086 | 163 | 1,204 | 5.496933 | 0.202454 | 0.050223 | 0.075893 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155316 | 1,204 | 51 | 53 | 23.607843 | 0.881023 | 0 | 0 | 0 | 0 | 0 | 0.002492 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108108 | false | 0 | 0.351351 | 0 | 0.486486 | 0.27027 | 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 | 1 | 0 | 0 | 0 | 0 | 1 |
a831920a6504101a28fd6154596abfc106155bd5 | 5,978 | py | Python | PWGJE/EMCALJetTasks/Tracks/analysis/plots/TriggerEfficiencyPlotMC.py | maroozm/AliPhysics | 22ec256928cfdf8f800e05bfc1a6e124d90b6eaf | [
"BSD-3-Clause"
] | 114 | 2017-03-03T09:12:23.000Z | 2022-03-03T20:29:42.000Z | PWGJE/EMCALJetTasks/Tracks/analysis/plots/TriggerEfficiencyPlotMC.py | maroozm/AliPhysics | 22ec256928cfdf8f800e05bfc1a6e124d90b6eaf | [
"BSD-3-Clause"
] | 19,637 | 2017-01-16T12:34:41.000Z | 2022-03-31T22:02:40.000Z | PWGJE/EMCALJetTasks/Tracks/analysis/plots/TriggerEfficiencyPlotMC.py | maroozm/AliPhysics | 22ec256928cfdf8f800e05bfc1a6e124d90b6eaf | [
"BSD-3-Clause"
] | 1,021 | 2016-07-14T22:41:16.000Z | 2022-03-31T05:15:51.000Z | #**************************************************************************
#* Copyright(c) 1998-2014, ALICE Experiment at CERN, All rights reserved. *
#* *
#* Author: The ALICE Off-line Project. *
#* Contributors ... | 36.012048 | 127 | 0.61007 | 533 | 5,978 | 6.664165 | 0.350844 | 0.031532 | 0.021678 | 0.01295 | 0.212556 | 0.189752 | 0.168919 | 0.127815 | 0.094032 | 0.094032 | 0 | 0.013398 | 0.275845 | 5,978 | 166 | 128 | 36.012048 | 0.807115 | 0.283372 | 0 | 0.366197 | 0 | 0 | 0.060976 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.253521 | false | 0 | 0.042254 | 0.056338 | 0.450704 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a83430da403a6343902a69916ea61b7d984073ae | 1,100 | py | Python | p38_count_and_say.py | feigaochn/leetcode | abf0877fae02aa9c2549051f0b68df0ace952512 | [
"MIT"
] | null | null | null | p38_count_and_say.py | feigaochn/leetcode | abf0877fae02aa9c2549051f0b68df0ace952512 | [
"MIT"
] | null | null | null | p38_count_and_say.py | feigaochn/leetcode | abf0877fae02aa9c2549051f0b68df0ace952512 | [
"MIT"
] | null | null | null | # author: Fei Gao
#
# Count And Say
#
# The count-and-say sequence is the sequence of integers beginning as follows:
# 1, 11, 21, 1211, 111221, ...
# 1 is read off as "one 1" or 11.
# 11 is read off as "two 1s" or 21.
# 21 is read off as "one 2, then one 1" or 1211.
# Given an integer n, generate the nth sequence.
# No... | 24.444444 | 78 | 0.509091 | 161 | 1,100 | 3.428571 | 0.42236 | 0.032609 | 0.048913 | 0.059783 | 0.050725 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057307 | 0.365455 | 1,100 | 44 | 79 | 25 | 0.733524 | 0.341818 | 0 | 0.076923 | 0 | 0 | 0.015471 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0.076923 | 0 | 0 | 0.230769 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
a834c683e0b03b64232ca74273a4e0f8df2eb617 | 2,170 | py | Python | Phase_2/pytools-master/ycsb/py_ycsb_parser.py | manu2504/WANCom | 8acdffb947d36fa7d7c8c78cbe9c3b06864128a6 | [
"MIT"
] | null | null | null | Phase_2/pytools-master/ycsb/py_ycsb_parser.py | manu2504/WANCom | 8acdffb947d36fa7d7c8c78cbe9c3b06864128a6 | [
"MIT"
] | null | null | null | Phase_2/pytools-master/ycsb/py_ycsb_parser.py | manu2504/WANCom | 8acdffb947d36fa7d7c8c78cbe9c3b06864128a6 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import argparse
import json
import logging
import os
import sys
import numpy as np
def verify_token_line4logs(tokens, column_order, dtypes_dic):
res = []
try:
for i, column in enumerate(column_order):
v = -1
if dtypes_dic[column] == np.uint16:
... | 31 | 183 | 0.535484 | 273 | 2,170 | 4.084249 | 0.457875 | 0.04843 | 0.053812 | 0.04574 | 0.240359 | 0.188341 | 0.121973 | 0.050224 | 0.050224 | 0.050224 | 0 | 0.047109 | 0.354378 | 2,170 | 69 | 184 | 31.449275 | 0.748751 | 0.007373 | 0 | 0.092593 | 0 | 0.018519 | 0.187181 | 0.078495 | 0 | 0 | 0 | 0 | 0.018519 | 0 | null | null | 0 | 0.111111 | null | null | 0.055556 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a836cd5f863b83f15ddd260a01f6e0a18aa4ebe5 | 235 | py | Python | src/dashboards/urls.py | PhaseDMS/phase | 4f776d0b1b5e7916a3e26aee890b3c2b9454ef0e | [
"MIT"
] | 2 | 2021-09-10T19:40:30.000Z | 2022-01-31T07:15:51.000Z | src/dashboards/urls.py | PhaseDMS/phase | 4f776d0b1b5e7916a3e26aee890b3c2b9454ef0e | [
"MIT"
] | null | null | null | src/dashboards/urls.py | PhaseDMS/phase | 4f776d0b1b5e7916a3e26aee890b3c2b9454ef0e | [
"MIT"
] | 1 | 2021-09-10T19:40:42.000Z | 2021-09-10T19:40:42.000Z | from django.urls import path
from dashboards.views import DashboardView
urlpatterns = [
path(
"<slug:organisation>/dashboards/<slug:dashboard>/",
DashboardView.as_view(),
name="dashboard_detail",
),
]
| 19.583333 | 59 | 0.66383 | 23 | 235 | 6.695652 | 0.695652 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.217021 | 235 | 11 | 60 | 21.363636 | 0.836957 | 0 | 0 | 0 | 0 | 0 | 0.27234 | 0.204255 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0 | 1 | 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 | 0 | 1 |
a837c3e92a14330ad2d5e5710c313906c42a2378 | 452 | py | Python | utilities/calcTotalEdges.py | johannes-schuetze/ALTO-framework-sim | 7a8d1df549188684ad3636434ccd6cf064e82c4f | [
"MIT"
] | null | null | null | utilities/calcTotalEdges.py | johannes-schuetze/ALTO-framework-sim | 7a8d1df549188684ad3636434ccd6cf064e82c4f | [
"MIT"
] | null | null | null | utilities/calcTotalEdges.py | johannes-schuetze/ALTO-framework-sim | 7a8d1df549188684ad3636434ccd6cf064e82c4f | [
"MIT"
] | null | null | null | #!/usr/bin/python
#This script takes a .dot file defined network and counts the amount of edges, i.e. occurances of " -> " in it
import sys
path = str( sys.argv[1])
try:
file_handle = open(path, 'r')
except (OSError, IOError) as e:
print e
print "Goodbye"
search_str = "->"
counter = 0
for line in file_handle:
... | 18.833333 | 110 | 0.676991 | 73 | 452 | 4.123288 | 0.643836 | 0.099668 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008242 | 0.19469 | 452 | 23 | 111 | 19.652174 | 0.818681 | 0.276549 | 0 | 0 | 0 | 0 | 0.113846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.066667 | null | null | 0.266667 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b51a68cdc9aa9835547dfac3721bb9aaf8f2513e | 151 | py | Python | read_files.py | BearHeathen/MadRamblings | 90527c6d31106a8d8e79bb91da51327d4e092103 | [
"MIT"
] | null | null | null | read_files.py | BearHeathen/MadRamblings | 90527c6d31106a8d8e79bb91da51327d4e092103 | [
"MIT"
] | null | null | null | read_files.py | BearHeathen/MadRamblings | 90527c6d31106a8d8e79bb91da51327d4e092103 | [
"MIT"
] | null | null | null | file = open('file.txt', 'r')
f = file.readlines()
readingList = []
for line in f:
readingList.append(line.strip())
print(readingList)
file.close()
| 13.727273 | 33 | 0.675497 | 21 | 151 | 4.857143 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139073 | 151 | 10 | 34 | 15.1 | 0.784615 | 0 | 0 | 0 | 0 | 0 | 0.059603 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.142857 | 1 | 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 | 0 | 1 |
b51e500159d7bb379157fe91756cbee181649a1d | 2,245 | py | Python | variables_tertiary.py | BriBean/Variables | f4f951ccab052b30679493e6100cc3f6664990b4 | [
"MIT"
] | null | null | null | variables_tertiary.py | BriBean/Variables | f4f951ccab052b30679493e6100cc3f6664990b4 | [
"MIT"
] | null | null | null | variables_tertiary.py | BriBean/Variables | f4f951ccab052b30679493e6100cc3f6664990b4 | [
"MIT"
] | null | null | null | # author: <Brianna Blue>
# date: <7/2/21>
#
# description: <fill in>
# Choose a song that you enjoy listening to. For this song you should pull up the lyrics.
# I suggest using Genius since it breaks down the song's structure into its individual parts.
# --------------- Section 3 --------------- #
# 3.1
# Variables
... | 35.634921 | 116 | 0.686414 | 382 | 2,245 | 4.02356 | 0.526178 | 0.013663 | 0.015615 | 0.023422 | 0.062459 | 0.062459 | 0.052049 | 0.052049 | 0.052049 | 0.052049 | 0 | 0.006838 | 0.218263 | 2,245 | 62 | 117 | 36.209677 | 0.868946 | 0 | 0 | 0 | 0 | 0 | 0.548767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b52adfbf38f47e054e299d9deb3375b3348fca2b | 2,425 | py | Python | people/migrations/0002_auto_20160909_1844.py | HotStew/digihel | 3a53f6542b41c64c818fa34cc0709cdbfb8055db | [
"MIT"
] | 21 | 2016-08-22T10:15:24.000Z | 2022-03-23T08:10:48.000Z | people/migrations/0002_auto_20160909_1844.py | HotStew/digihel | 3a53f6542b41c64c818fa34cc0709cdbfb8055db | [
"MIT"
] | 101 | 2016-08-08T07:52:44.000Z | 2021-06-17T20:18:59.000Z | people/migrations/0002_auto_20160909_1844.py | HotStew/digihel | 3a53f6542b41c64c818fa34cc0709cdbfb8055db | [
"MIT"
] | 16 | 2016-08-02T11:45:26.000Z | 2021-02-18T11:27:34.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.9 on 2016-09-09 15:44
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('wagtailcore', '0029_unicode_slugfield_dj19'),
('peop... | 35.144928 | 191 | 0.557938 | 222 | 2,425 | 5.959459 | 0.373874 | 0.030234 | 0.042328 | 0.066516 | 0.251701 | 0.251701 | 0.227513 | 0.199546 | 0.199546 | 0.119426 | 0 | 0.018924 | 0.30268 | 2,425 | 68 | 192 | 35.661765 | 0.763454 | 0.027629 | 0 | 0.42623 | 1 | 0 | 0.13758 | 0.011465 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04918 | 0 | 0.098361 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b531a29bc96c53fe25f7d52999c0dd44c175904f | 1,189 | py | Python | starknet_py/transaction_exceptions.py | unparalleled-js/starknet.py | e35321ddc9c6818220ba5682d4704b6264c0cfd2 | [
"MIT"
] | 84 | 2021-12-15T10:45:13.000Z | 2022-03-30T11:05:24.000Z | starknet_py/transaction_exceptions.py | unparalleled-js/starknet.py | e35321ddc9c6818220ba5682d4704b6264c0cfd2 | [
"MIT"
] | 56 | 2021-12-14T17:19:40.000Z | 2022-03-30T10:03:14.000Z | starknet_py/transaction_exceptions.py | software-mansion/starknet_python_sdk | 62a8ffbf20af4a6225065441fbc91656739f9eb1 | [
"MIT"
] | 10 | 2022-01-02T18:36:11.000Z | 2022-03-25T22:20:59.000Z | from typing import Optional
class TransactionFailedError(Exception):
"""
Base exception for transaction failure
"""
def __init__(
self,
code: Optional[str] = None,
message: Optional[str] = "Unknown starknet error",
):
self.code = code
self.message = message... | 25.297872 | 80 | 0.624895 | 120 | 1,189 | 5.958333 | 0.325 | 0.067133 | 0.041958 | 0.067133 | 0.285315 | 0.285315 | 0.206993 | 0.206993 | 0.206993 | 0.206993 | 0 | 0 | 0.276703 | 1,189 | 46 | 81 | 25.847826 | 0.831395 | 0.116064 | 0 | 0.269231 | 0 | 0 | 0.320398 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.038462 | 0.115385 | 0.461538 | 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 | 1 | 0 | 0 | 0 | 1 |
b5353aa04fe6f9c48af67d87430f5ce44a7d0cea | 499 | py | Python | examples/testing/multiply.py | faisalarkan21/TensorFlow-Examples | b2ed71ca904dce8cb22a71d379872370638a9221 | [
"MIT"
] | null | null | null | examples/testing/multiply.py | faisalarkan21/TensorFlow-Examples | b2ed71ca904dce8cb22a71d379872370638a9221 | [
"MIT"
] | null | null | null | examples/testing/multiply.py | faisalarkan21/TensorFlow-Examples | b2ed71ca904dce8cb22a71d379872370638a9221 | [
"MIT"
] | null | null | null | import tensorflow as tf
const = tf.constant(2.0)
# b and c should using tf.global_variables_initializer()
b = tf.Variable(2.0)
c = tf.Variable(1.0)
d = tf.add(b, c)
e = tf.add(c, const)
a = tf.multiply(d, e)
# for init Variable not constant
init_op = tf.global_variables_initializer()
# start the session
with tf.Se... | 19.192308 | 56 | 0.683367 | 87 | 499 | 3.827586 | 0.482759 | 0.012012 | 0.102102 | 0.168168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014888 | 0.192385 | 499 | 25 | 57 | 19.96 | 0.811414 | 0.320641 | 0 | 0 | 0 | 0 | 0.048485 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 1 | 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 | 0 | 1 |
b537d4dd724ef561df652348d04eed05ef187b40 | 2,389 | py | Python | topic_labeling/TopicModel.py | Astromis/AutomatedDescriptor | 3c5cf64a937f82efd7419e57e9af1aeddbd59e0f | [
"MIT"
] | null | null | null | topic_labeling/TopicModel.py | Astromis/AutomatedDescriptor | 3c5cf64a937f82efd7419e57e9af1aeddbd59e0f | [
"MIT"
] | null | null | null | topic_labeling/TopicModel.py | Astromis/AutomatedDescriptor | 3c5cf64a937f82efd7419e57e9af1aeddbd59e0f | [
"MIT"
] | null | null | null | from sklearn.decomposition import NMF, LatentDirichletAllocation, TruncatedSVD
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from chowmein.data import load_line_corpus
class TopicModelBase:
def __init__(self,):
# topic_words: list of topics that is represented as vector of ... | 40.491525 | 114 | 0.650063 | 292 | 2,389 | 5.030822 | 0.332192 | 0.061266 | 0.073519 | 0.068074 | 0.302927 | 0.271613 | 0.271613 | 0.204221 | 0.204221 | 0.204221 | 0 | 0.015526 | 0.27208 | 2,389 | 58 | 115 | 41.189655 | 0.829212 | 0.133529 | 0 | 0.25641 | 0 | 0 | 0.008721 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0.025641 | 0.076923 | 0 | 0.410256 | 0.076923 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b53b07b5f6c49c8dad232fab9dd320ccc157631c | 448 | py | Python | bookStore/bookDetails/migrations/0007_auto_20190412_0214.py | afern247/BookStore-Web | bb914f9344ba7a92252973633da99a6b09054217 | [
"MIT"
] | null | null | null | bookStore/bookDetails/migrations/0007_auto_20190412_0214.py | afern247/BookStore-Web | bb914f9344ba7a92252973633da99a6b09054217 | [
"MIT"
] | null | null | null | bookStore/bookDetails/migrations/0007_auto_20190412_0214.py | afern247/BookStore-Web | bb914f9344ba7a92252973633da99a6b09054217 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.5 on 2019-04-12 06:14
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('bookDetails', '0006_auto_20190412_0143'),
]
operations = [
migrations.AlterField(
model_name='book',
name='avg_ratin... | 23.578947 | 106 | 0.625 | 53 | 448 | 5.150943 | 0.811321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105105 | 0.256696 | 448 | 18 | 107 | 24.888889 | 0.714715 | 0.100446 | 0 | 0 | 1 | 0 | 0.119701 | 0.057357 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b53c64f27fcd3717b34b56bbd5ec6c51a994d485 | 516 | py | Python | tests/cache_file_test.py | allenai/cached_path | f89e348e76913183d2bf90cc70db8ca87f4227e2 | [
"Apache-2.0"
] | 11 | 2021-09-10T19:25:40.000Z | 2022-01-13T07:44:59.000Z | tests/cache_file_test.py | allenai/cached_path | f89e348e76913183d2bf90cc70db8ca87f4227e2 | [
"Apache-2.0"
] | 31 | 2021-09-09T17:05:56.000Z | 2022-03-25T16:10:15.000Z | tests/cache_file_test.py | allenai/cached_path | f89e348e76913183d2bf90cc70db8ca87f4227e2 | [
"Apache-2.0"
] | 2 | 2021-09-10T19:22:25.000Z | 2021-09-15T02:28:04.000Z | import os
import pytest
from cached_path.cache_file import CacheFile
from cached_path.testing import BaseTestClass
class TestCacheFile(BaseTestClass):
def test_temp_file_removed_on_error(self):
cache_filename = self.TEST_DIR / "cache_file"
with pytest.raises(IOError, match="I made this up"):
... | 30.352941 | 60 | 0.715116 | 70 | 516 | 5.085714 | 0.528571 | 0.109551 | 0.078652 | 0.061798 | 0.117978 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.213178 | 516 | 16 | 61 | 32.25 | 0.876847 | 0 | 0 | 0 | 0 | 0 | 0.073643 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.083333 | false | 0 | 0.333333 | 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 | 1 | 0 | 0 | 0 | 0 | 1 |
b56125606159c9d6893e8722b81a2b5b3cac4b6b | 802 | py | Python | pd_utils/corr.py | nickderobertis/pd-utils | cb3c96de212830c6b837aa29b50ab1a348abfb9a | [
"MIT"
] | null | null | null | pd_utils/corr.py | nickderobertis/pd-utils | cb3c96de212830c6b837aa29b50ab1a348abfb9a | [
"MIT"
] | 23 | 2020-01-25T21:07:48.000Z | 2021-12-20T00:10:14.000Z | pd_utils/corr.py | nickderobertis/pd-utils | cb3c96de212830c6b837aa29b50ab1a348abfb9a | [
"MIT"
] | 1 | 2021-08-09T11:11:49.000Z | 2021-08-09T11:11:49.000Z | from typing import Sequence, Optional
import pandas as pd
import numpy as np
def formatted_corr_df(df: pd.DataFrame, cols: Optional[Sequence[str]] = None) -> pd.DataFrame:
"""
Calculates correlations on a DataFrame and displays only the lower triangular of the
resulting correlation DataFrame.
:param... | 28.642857 | 94 | 0.697007 | 120 | 802 | 4.516667 | 0.458333 | 0.055351 | 0.094096 | 0.070111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003125 | 0.201995 | 802 | 27 | 95 | 29.703704 | 0.84375 | 0.260599 | 0 | 0 | 0 | 0 | 0.012478 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.230769 | 0.076923 | 0.538462 | 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 | 1 | 0 | 0 | 1 |
b56e3a2b45f9140eb1584cdf9a01df6e533a501e | 20,398 | py | Python | packager.py | liip/packager | b6886a9c94ea79ad147704b952e5192a0179de0d | [
"Apache-2.0"
] | 12 | 2015-12-05T23:21:28.000Z | 2021-11-08T09:39:50.000Z | packager.py | liip/packager | b6886a9c94ea79ad147704b952e5192a0179de0d | [
"Apache-2.0"
] | 1 | 2018-02-01T12:32:23.000Z | 2018-02-01T12:32:23.000Z | packager.py | liip/packager | b6886a9c94ea79ad147704b952e5192a0179de0d | [
"Apache-2.0"
] | 5 | 2015-06-13T05:24:02.000Z | 2018-10-19T18:46:06.000Z | #!/usr/bin/env python
import sys, tarfile, getopt, urllib, ConfigParser, os, os.path
import re, itertools
# Check python version as script doesn't run on 3.x
if sys.version_info >= (3, 0):
sys.stdout.write("Sorry, requires Python 2.x, not Python 3.x. You can try:\n")
sys.stdout.write("$ sudo /usr/bin/python2.7... | 36.295374 | 120 | 0.533386 | 2,229 | 20,398 | 4.799013 | 0.196501 | 0.011218 | 0.004674 | 0.008881 | 0.179303 | 0.134711 | 0.109657 | 0.092736 | 0.092736 | 0.07217 | 0 | 0.009055 | 0.355721 | 20,398 | 561 | 121 | 36.360071 | 0.8049 | 0.047211 | 0 | 0.298507 | 0 | 0.004975 | 0.115882 | 0.009785 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.012438 | 0.004975 | null | null | 0.074627 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b57646686974929d9ed19f0b059f2efc7d21557c | 1,441 | py | Python | Chapter02/computation_graph.py | PacktPublishing/Caffe2-Quick-Start-Guide | cdccf0626cf3cce302094491b4280283d031db33 | [
"MIT"
] | 8 | 2019-06-22T01:04:58.000Z | 2021-10-01T23:23:50.000Z | Chapter02/computation_graph.py | PacktPublishing/Caffe2-Quick-Start-Guide | cdccf0626cf3cce302094491b4280283d031db33 | [
"MIT"
] | null | null | null | Chapter02/computation_graph.py | PacktPublishing/Caffe2-Quick-Start-Guide | cdccf0626cf3cce302094491b4280283d031db33 | [
"MIT"
] | 5 | 2019-06-21T06:57:26.000Z | 2020-09-16T04:41:59.000Z | #!/usr/bin/env python2
"""Create a network that perfoms some mathematical operations.
Run inference on this network."""
from caffe2.python import workspace, model_helper
import numpy as np
# Initialize Caffe2
workspace.GlobalInit(["caffe2",])
# Initialize a model with the name "Math model"
model = model_helper.Mode... | 30.020833 | 82 | 0.716863 | 243 | 1,441 | 4.242798 | 0.341564 | 0.019399 | 0.019399 | 0.052376 | 0.255092 | 0.109602 | 0.109602 | 0.075655 | 0 | 0 | 0 | 0.025578 | 0.158917 | 1,441 | 47 | 83 | 30.659574 | 0.825083 | 0.528105 | 0 | 0 | 0 | 0 | 0.056338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.125 | null | null | 0.1875 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b5774d7d4193733fb5836cfd12b048820295202e | 511 | py | Python | apis_core/apis_vocabularies/migrations/0002_texttype_lang.py | acdh-oeaw/apis-core | f7ece05eec46c820321fd28d3e947653dcb98ae7 | [
"MIT"
] | 11 | 2018-07-11T18:11:40.000Z | 2022-03-25T11:07:12.000Z | apis_core/apis_vocabularies/migrations/0002_texttype_lang.py | acdh-oeaw/apis-core | f7ece05eec46c820321fd28d3e947653dcb98ae7 | [
"MIT"
] | 309 | 2018-06-11T08:38:50.000Z | 2022-03-31T13:45:22.000Z | apis_core/apis_vocabularies/migrations/0002_texttype_lang.py | acdh-oeaw/apis-core | f7ece05eec46c820321fd28d3e947653dcb98ae7 | [
"MIT"
] | 5 | 2017-08-21T10:37:07.000Z | 2021-09-27T19:08:47.000Z | # Generated by Django 2.2.13 on 2020-07-22 12:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('apis_vocabularies', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='texttype',
name='lang',
... | 26.894737 | 177 | 0.626223 | 65 | 511 | 4.830769 | 0.784615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.067532 | 0.246575 | 511 | 18 | 178 | 28.388889 | 0.748052 | 0.09002 | 0 | 0 | 1 | 0 | 0.222462 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b57aa8e76db96ed58eb6bada4271380c15ab922b | 801 | py | Python | resource/data/x.py | stdex/maltparser_revolution | be54e164c81a8f03d20de052a09b9c0a6b29a28d | [
"BSD-3-Clause"
] | null | null | null | resource/data/x.py | stdex/maltparser_revolution | be54e164c81a8f03d20de052a09b9c0a6b29a28d | [
"BSD-3-Clause"
] | null | null | null | resource/data/x.py | stdex/maltparser_revolution | be54e164c81a8f03d20de052a09b9c0a6b29a28d | [
"BSD-3-Clause"
] | null | null | null | import os
import sys
import numpy as np
from sklearn import linear_model
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from scipy.sparse import csr_matrix
import csv
def ReadCsv(fileName, mode):
in_file = open(fileName)
reader = csv.reader(in_file, delimiter='\t... | 23.558824 | 73 | 0.650437 | 110 | 801 | 4.645455 | 0.518182 | 0.064579 | 0.07045 | 0.093933 | 0.109589 | 0.109589 | 0.109589 | 0 | 0 | 0 | 0 | 0.004847 | 0.227216 | 801 | 33 | 74 | 24.272727 | 0.820679 | 0.066167 | 0 | 0.083333 | 0 | 0 | 0.106469 | 0.076819 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.333333 | 0 | 0.416667 | 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 | 1 | 0 | 0 | 0 | 0 | 1 |
b57bc27152cba9aeb5c74b01b68c68b9855eb45b | 4,161 | py | Python | scripts/visualize/aggregate.py | gabrielhuang/prototypical-networks | e363420b627c4a558eccde6b72e179b632d183c5 | [
"MIT"
] | 26 | 2019-02-21T17:01:19.000Z | 2021-12-12T08:26:38.000Z | scripts/visualize/aggregate.py | gabrielhuang/centroid-networks | e363420b627c4a558eccde6b72e179b632d183c5 | [
"MIT"
] | null | null | null | scripts/visualize/aggregate.py | gabrielhuang/centroid-networks | e363420b627c4a558eccde6b72e179b632d183c5 | [
"MIT"
] | null | null | null | import os
import numpy as np
import json
import scipy.ndimage.filters
import string
valid_chars = "-_.() %s%s" % (string.ascii_letters, string.digits)
import argparse
parser = argparse.ArgumentParser('')
parser.add_argument('--folder', default='../train/few_shot/', help='folder with all the runs')
parser.add_argument... | 30.595588 | 142 | 0.660178 | 537 | 4,161 | 4.975791 | 0.284916 | 0.023578 | 0.023578 | 0.033683 | 0.226422 | 0.193488 | 0.179266 | 0.158683 | 0.145958 | 0.126497 | 0 | 0.007015 | 0.177842 | 4,161 | 135 | 143 | 30.822222 | 0.774043 | 0.096611 | 0 | 0.096774 | 0 | 0 | 0.264423 | 0.124199 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.086022 | null | null | 0.11828 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b57eba1db900447eb10368b41bf7ebbaf3827d8b | 683 | py | Python | src/password_generator.py | Funnear/neat_bruteforce | 24fd818cfee2fdb36588afa99526d132151fb2ba | [
"WTFPL"
] | null | null | null | src/password_generator.py | Funnear/neat_bruteforce | 24fd818cfee2fdb36588afa99526d132151fb2ba | [
"WTFPL"
] | null | null | null | src/password_generator.py | Funnear/neat_bruteforce | 24fd818cfee2fdb36588afa99526d132151fb2ba | [
"WTFPL"
] | null | null | null | import string
from src import config
def password_generator():
alphabet = string.digits
alphabet += string.ascii_lowercase
base = len(alphabet)
shift = 0
length = int(config.get('minimal_password_length'))
while True:
password = ''
temp = shift
while temp > 0:
... | 20.69697 | 55 | 0.528551 | 70 | 683 | 5.1 | 0.414286 | 0.117647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016706 | 0.38653 | 683 | 32 | 56 | 21.34375 | 0.835322 | 0 | 0 | 0.083333 | 0 | 0 | 0.033675 | 0.033675 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0.333333 | 0.083333 | 0 | 0.125 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
b57f38edb4d4f692fe05e6d850f14f28c3d704da | 581 | py | Python | abstract_models/bisim/pick_puck.py | ondrejba/discrete_abstractions | 444def53ae2ca6c8a5b5b453448f7c4bbaba07e1 | [
"MIT"
] | 6 | 2020-09-14T22:48:00.000Z | 2021-12-11T04:14:07.000Z | abstract_models/bisim/pick_puck.py | ondrejba/discrete_abstractions | 444def53ae2ca6c8a5b5b453448f7c4bbaba07e1 | [
"MIT"
] | null | null | null | abstract_models/bisim/pick_puck.py | ondrejba/discrete_abstractions | 444def53ae2ca6c8a5b5b453448f7c4bbaba07e1 | [
"MIT"
] | null | null | null | import numpy as np
class BisimPickPuckModel:
@classmethod
def get_state_block(cls, hand, layers, action_grid):
num_positions = action_grid.shape[0] * action_grid.shape[1]
action_grid = np.reshape(action_grid, (-1, 2))
if hand is not None:
return num_positions
e... | 21.518519 | 73 | 0.598967 | 81 | 581 | 4.123457 | 0.469136 | 0.239521 | 0.08982 | 0.113772 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024213 | 0.289157 | 581 | 26 | 74 | 22.346154 | 0.784504 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.066667 | 0.066667 | 0.466667 | 0 | 0 | 0 | 0 | null | 1 | 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 | 0 | 1 |
b57f691098c1a40d64803fbc3ba1740e10d63793 | 607 | py | Python | questions/models/text_answer.py | Ivin0022/django-questions | ac241b23108a5a0083e206458d586969a9ce6ef0 | [
"MIT"
] | null | null | null | questions/models/text_answer.py | Ivin0022/django-questions | ac241b23108a5a0083e206458d586969a9ce6ef0 | [
"MIT"
] | 9 | 2020-06-06T02:19:16.000Z | 2022-03-12T00:39:33.000Z | questions/models/text_answer.py | Ivin0022/django-questions | ac241b23108a5a0083e206458d586969a9ce6ef0 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth import get_user_model
class TextAnswer(models.Model):
"""Model definition for TextAnswer."""
user = models.ForeignKey(get_user_model(), on_delete=models.CASCADE)
question = models.ForeignKey('Question', on_delete=models.CASCADE)
answer = models.Ch... | 30.35 | 72 | 0.693575 | 72 | 607 | 5.652778 | 0.527778 | 0.04914 | 0.058968 | 0.103194 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006122 | 0.192751 | 607 | 20 | 73 | 30.35 | 0.82449 | 0.16804 | 0 | 0 | 0 | 0 | 0.102041 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.818182 | 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 | 1 | 0 | 0 | 1 |
b58813fbc47196250515cbd89a14b7492a25ccb8 | 660 | py | Python | tests/plantcv/transform/test_nonuniform_illumination.py | ygarrot/plantcv | e934a891e0d1bf8987ca6a9f982a4ac1f420bfe7 | [
"MIT"
] | 1 | 2022-02-03T12:08:59.000Z | 2022-02-03T12:08:59.000Z | tests/plantcv/transform/test_nonuniform_illumination.py | HUISTENCOFFEE/plantcv | f38f7de53663522eb770870b70823d5fc46d0c0f | [
"MIT"
] | null | null | null | tests/plantcv/transform/test_nonuniform_illumination.py | HUISTENCOFFEE/plantcv | f38f7de53663522eb770870b70823d5fc46d0c0f | [
"MIT"
] | null | null | null | import cv2
import numpy as np
from plantcv.plantcv.transform import nonuniform_illumination
def test_nonuniform_illumination_rgb(transform_test_data):
"""Test for PlantCV."""
# Load rgb image
rgb_img = cv2.imread(transform_test_data.small_rgb_img)
corrected = nonuniform_illumination(img=rgb_img, ksize... | 33 | 65 | 0.766667 | 92 | 660 | 5.206522 | 0.304348 | 0.229645 | 0.141962 | 0.121086 | 0.321503 | 0.321503 | 0.321503 | 0.179541 | 0.179541 | 0 | 0 | 0.014159 | 0.143939 | 660 | 19 | 66 | 34.736842 | 0.833628 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.181818 | false | 0 | 0.272727 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 1 | 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 | 0 | 1 |
b58b7082546627bfca6ab98d6f794a071ec56512 | 815 | py | Python | frddy/core.py | aaront/frddy | fa6ccb9857777de6d4bbff59511810507f7d30c1 | [
"Apache-2.0"
] | null | null | null | frddy/core.py | aaront/frddy | fa6ccb9857777de6d4bbff59511810507f7d30c1 | [
"Apache-2.0"
] | null | null | null | frddy/core.py | aaront/frddy | fa6ccb9857777de6d4bbff59511810507f7d30c1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
frddy.core
~~~~~~~~~~
Handles the core functionality and classes
"""
import enum
import json
import requests
class Type(enum.Enum):
"""The type of JSON result"""
UNKNOWN = -1
STRING_LIKE = 1
DICT_LIKE = 2
class Results:
def __init__(self, raw_json):
self.ra... | 18.522727 | 48 | 0.608589 | 112 | 815 | 4.294643 | 0.419643 | 0.072765 | 0.091476 | 0.079002 | 0.095634 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008319 | 0.262577 | 815 | 43 | 49 | 18.953488 | 0.792013 | 0.136196 | 0 | 0.08 | 0 | 0 | 0.008683 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.12 | 0 | 0.68 | 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 | 1 | 0 | 0 | 1 |
b58f65c3b55445eeb3e976839a9285df1cb0b02c | 1,697 | py | Python | pylith/meshio/SingleOutput.py | joegeisz/pylith | f74060b7b19d7e90abf8597bbe9250c96593c0ad | [
"MIT"
] | 1 | 2021-01-20T17:18:28.000Z | 2021-01-20T17:18:28.000Z | pylith/meshio/SingleOutput.py | joegeisz/pylith | f74060b7b19d7e90abf8597bbe9250c96593c0ad | [
"MIT"
] | null | null | null | pylith/meshio/SingleOutput.py | joegeisz/pylith | f74060b7b19d7e90abf8597bbe9250c96593c0ad | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# ----------------------------------------------------------------------
#
# Brad T. Aagaard, U.S. Geological Survey
# Charles A. Williams, GNS Science
# Matthew G. Knepley, University of Chicago
#
# This code was developed as part of the Computational Infrastructure
# for Geodynamics (http://ge... | 24.955882 | 73 | 0.574543 | 156 | 1,697 | 6.185897 | 0.551282 | 0.067358 | 0.039378 | 0.045596 | 0.211399 | 0.211399 | 0.13886 | 0.13886 | 0.13886 | 0 | 0 | 0.005818 | 0.189747 | 1,697 | 67 | 74 | 25.328358 | 0.696 | 0.605186 | 0 | 0 | 0 | 0 | 0.096055 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.272727 | 0 | 0.636364 | 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 | 1 | 0 | 0 | 1 |
b59c2c938d9eed46f571c6b48f911cedf46eacd3 | 403 | py | Python | scripts/security_scan.py | GaborMegyaszai/f5gcdemo | 9fca446e51fd0f4efcbe48459d53f2dbf4bd68d9 | [
"Apache-2.0"
] | null | null | null | scripts/security_scan.py | GaborMegyaszai/f5gcdemo | 9fca446e51fd0f4efcbe48459d53f2dbf4bd68d9 | [
"Apache-2.0"
] | null | null | null | scripts/security_scan.py | GaborMegyaszai/f5gcdemo | 9fca446e51fd0f4efcbe48459d53f2dbf4bd68d9 | [
"Apache-2.0"
] | null | null | null | from pexpect import pxssh
s = pxssh.pxssh()
s.force_password=True
if not s.login ('95.217.155.18', 'root', 'system123!'):
print ("SSH session failed on login.")
else:
print ("SSH session login successful")
s.sendline ('cp /root/some.txt /root/some2.txt')
s.prompt() # match the prompt
print(... | 31 | 77 | 0.650124 | 60 | 403 | 4.35 | 0.633333 | 0.045977 | 0.114943 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04644 | 0.198511 | 403 | 12 | 78 | 33.583333 | 0.76161 | 0.129032 | 0 | 0 | 0 | 0 | 0.347701 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.090909 | 0.090909 | 0 | 0.090909 | 0.272727 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
b5a620ca04e67570ff9c26f2d3610a5078a2d1ca | 8,541 | py | Python | insta.py | jakubmatyszewski/i-reposter | 6ac0caa747455d12e0086430abe36276fdb6f419 | [
"MIT"
] | null | null | null | insta.py | jakubmatyszewski/i-reposter | 6ac0caa747455d12e0086430abe36276fdb6f419 | [
"MIT"
] | null | null | null | insta.py | jakubmatyszewski/i-reposter | 6ac0caa747455d12e0086430abe36276fdb6f419 | [
"MIT"
] | null | null | null | import os
import json
import datetime
import re
from time import sleep
from math import ceil
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
class Instagram:
_driver = None
_status_driver = False
_status_sign_in = False
posts = {}
mobile_emulation = {
... | 37.460526 | 106 | 0.538227 | 945 | 8,541 | 4.653968 | 0.268783 | 0.059118 | 0.05025 | 0.071623 | 0.268304 | 0.263074 | 0.22533 | 0.13256 | 0.099136 | 0.079127 | 0 | 0.012401 | 0.348554 | 8,541 | 227 | 107 | 37.625551 | 0.778037 | 0.045311 | 0 | 0.34375 | 0 | 0.005208 | 0.172823 | 0.031254 | 0 | 0 | 0 | 0 | 0.005208 | 1 | 0.041667 | false | 0.057292 | 0.041667 | 0 | 0.203125 | 0.083333 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
b5a77be05bd2b86c59938ef6a076fc1b834cafae | 3,296 | py | Python | {{cookiecutter.project_slug}}/tests/unit/{{cookiecutter.project_slug}}/utils/test_sentry.py | Maximilien-R/cookiecutter-tartiflette-aiohttp | 66e7e0897b315df6a1908c6c31ec58b74e0b3a6f | [
"MIT"
] | 3 | 2020-06-01T14:16:19.000Z | 2021-11-07T19:54:08.000Z | {{cookiecutter.project_slug}}/tests/unit/{{cookiecutter.project_slug}}/utils/test_sentry.py | Maximilien-R/cookiecutter-tartiflette-aiohttp | 66e7e0897b315df6a1908c6c31ec58b74e0b3a6f | [
"MIT"
] | 88 | 2019-11-15T17:35:54.000Z | 2021-08-02T04:50:51.000Z | {{cookiecutter.project_slug}}/tests/unit/{{cookiecutter.project_slug}}/utils/test_sentry.py | Maximilien-R/cookiecutter-tartiflette-aiohttp | 66e7e0897b315df6a1908c6c31ec58b74e0b3a6f | [
"MIT"
] | 2 | 2020-05-04T08:35:34.000Z | 2020-10-22T17:47:26.000Z | from unittest.mock import Mock, patch
import pytest
from tartiflette import TartifletteError
from {{cookiecutter.project_slug}}.utils import configure_sentry, sentry, sentry_error_coercer
def test_configure_sentry():
config_mock = {"dsn": "dsn"}
aiohttp_integration_mock = Mock()
logging_integration_moc... | 30.518519 | 95 | 0.544903 | 274 | 3,296 | 6.240876 | 0.208029 | 0.084211 | 0.080702 | 0.098246 | 0.51462 | 0.443275 | 0.394737 | 0.369591 | 0.225731 | 0.078363 | 0 | 0 | 0.361954 | 3,296 | 107 | 96 | 30.803738 | 0.813124 | 0 | 0 | 0.418367 | 0 | 0 | 0.160194 | 0.099211 | 0 | 0 | 0 | 0 | 0.061224 | 0 | null | null | 0 | 0.040816 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b5b5e5dfd7ed912801c5c53ca0b44b403dbc39b0 | 663 | py | Python | src/Services/TodoService/save_todos.py | xperemiquel/python-app-exercise | 4b35139dac029bbf39ea17cd5f33785f014c9ab7 | [
"MIT"
] | null | null | null | src/Services/TodoService/save_todos.py | xperemiquel/python-app-exercise | 4b35139dac029bbf39ea17cd5f33785f014c9ab7 | [
"MIT"
] | null | null | null | src/Services/TodoService/save_todos.py | xperemiquel/python-app-exercise | 4b35139dac029bbf39ea17cd5f33785f014c9ab7 | [
"MIT"
] | null | null | null | import csv
from datetime import date
def save_todos(response, path):
for todo in response:
save_todo_into_csv(todo, path)
def save_todo_into_csv(todo, path):
filename = generate_filename(todo, path)
try:
with open(filename, 'w') as csvfile:
writer = csv.DictWriter(csvfile, fie... | 24.555556 | 103 | 0.656109 | 94 | 663 | 4.478723 | 0.606383 | 0.07601 | 0.057007 | 0.071259 | 0.109264 | 0.109264 | 0 | 0 | 0 | 0 | 0 | 0 | 0.232278 | 663 | 26 | 104 | 25.5 | 0.827112 | 0.102564 | 0 | 0 | 1 | 0 | 0.086587 | 0.056027 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0.117647 | 0 | 0.352941 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b5b6393394b4af1ae38549de48a2891fab89471c | 527 | py | Python | src/clustering/louvain.py | seasonsOfTheSun/UMAPanalysis | d7f413af59e01aa5e9b1aa909d1fd5858019aa23 | [
"MIT"
] | null | null | null | src/clustering/louvain.py | seasonsOfTheSun/UMAPanalysis | d7f413af59e01aa5e9b1aa909d1fd5858019aa23 | [
"MIT"
] | null | null | null | src/clustering/louvain.py | seasonsOfTheSun/UMAPanalysis | d7f413af59e01aa5e9b1aa909d1fd5858019aa23 | [
"MIT"
] | 1 | 2021-02-09T12:39:42.000Z | 2021-02-09T12:39:42.000Z | import networkx as nx
import pandas
import community
import sys
import re
from UMAP_analysis.core import make_undirected
network_filename = sys.argv[1]
m = re.match("networks/(?P<dataset>.*?)/noisy/(?P<name>.*?).gml", network_filename)
dataset = m.groupdict()['dataset']
name = m.groupdict()['name']
G_dir = nx.read_... | 23.954545 | 83 | 0.753321 | 78 | 527 | 4.935897 | 0.564103 | 0.116883 | 0.093506 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002101 | 0.096774 | 527 | 21 | 84 | 25.095238 | 0.806723 | 0 | 0 | 0 | 0 | 0 | 0.212524 | 0.191651 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 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 | 1 | 0 | 0 | 0 | 0 | 1 |
a90ce1510663182f23b964fecfb1cc6144b7b76b | 1,255 | py | Python | deepscoop/autograd/core.py | ScoopML/DeepScoop | 6a1373cb06184c1e534f35bab41157b3b703bdc8 | [
"Apache-2.0"
] | 2 | 2020-12-25T08:00:06.000Z | 2021-01-14T03:00:16.000Z | deepscoop/autograd/core.py | ScoopML/DeepScoop | 6a1373cb06184c1e534f35bab41157b3b703bdc8 | [
"Apache-2.0"
] | null | null | null | deepscoop/autograd/core.py | ScoopML/DeepScoop | 6a1373cb06184c1e534f35bab41157b3b703bdc8 | [
"Apache-2.0"
] | null | null | null | from utils import topological_sort
import inspect
import operator
import numpy as np
def subval(x, i, v):
x_ = list(x)
x_[i] = v
return tuple(x_)
def grad(fun, argnum=0):
def gradfun(*args, **kwargs):
unary_fun = lambda x: fun(*subval(args, argnum, x), **kwargs)
vjp, ans = make_grad(un... | 27.888889 | 72 | 0.635857 | 194 | 1,255 | 3.92268 | 0.324742 | 0.055191 | 0.007884 | 0.04205 | 0.044678 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001065 | 0.251793 | 1,255 | 44 | 73 | 28.522727 | 0.809372 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.210526 | false | 0 | 0.105263 | 0.026316 | 0.526316 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a90ce17afbd55d25d28fa8d0d93e4cab07cbd650 | 371 | py | Python | examples/misp_push.py | Felalex57/PyLookyloo | 76250fb931c3dd9e2793a758cbceb1dce77b409c | [
"BSD-3-Clause"
] | 3 | 2020-09-14T05:20:19.000Z | 2021-04-07T17:15:55.000Z | examples/misp_push.py | Felalex57/PyLookyloo | 76250fb931c3dd9e2793a758cbceb1dce77b409c | [
"BSD-3-Clause"
] | 7 | 2020-11-24T16:17:52.000Z | 2022-01-22T00:34:57.000Z | examples/misp_push.py | Felalex57/PyLookyloo | 76250fb931c3dd9e2793a758cbceb1dce77b409c | [
"BSD-3-Clause"
] | 2 | 2020-11-24T14:36:55.000Z | 2021-04-12T13:29:04.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from pylookyloo import Lookyloo
import json
# lookyloo_url = "https://lookyloo.circl.lu/"
lookyloo_url = "http://0.0.0.0:5100"
lookyloo = Lookyloo(lookyloo_url)
lookyloo.init_apikey(username='admin', password='admin')
event = lookyloo.misp_push('6ae2afdc-4d90-41ce-9cae-... | 24.733333 | 66 | 0.735849 | 53 | 371 | 5.056604 | 0.679245 | 0.123134 | 0.022388 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.080119 | 0.091644 | 371 | 14 | 67 | 26.5 | 0.715134 | 0.234501 | 0 | 0 | 0 | 0 | 0.231317 | 0.128114 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.142857 | 0.285714 | 0 | 0.285714 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
a90ea4dffec3177c36dc18c6f04221fe3af6ae48 | 999 | py | Python | cenzura/bot/lib/embed.py | Smugaski/cenzura | 803b8961f7cc2178bb623d68ee803862b45a7b8a | [
"MIT"
] | 7 | 2020-08-29T17:11:55.000Z | 2021-09-22T00:33:19.000Z | cenzura/bot/lib/embed.py | Smugaski/cenzura | 803b8961f7cc2178bb623d68ee803862b45a7b8a | [
"MIT"
] | 1 | 2021-08-30T18:47:10.000Z | 2021-08-30T18:47:10.000Z | cenzura/bot/lib/embed.py | Smugaski/cenzura | 803b8961f7cc2178bb623d68ee803862b45a7b8a | [
"MIT"
] | 9 | 2020-08-31T19:52:34.000Z | 2021-08-28T01:46:24.000Z | class Embed:
def __init__(self, **kwargs):
allowed_args = ("title", "description", "color")
for key, value in kwargs.items():
if key in allowed_args:
setattr(self, key, value)
def set_image(self, *, url: str):
self.image = {"url": url}
def set_thumbnail... | 28.542857 | 72 | 0.518519 | 119 | 999 | 4.193277 | 0.319328 | 0.112224 | 0.054108 | 0.056112 | 0.152305 | 0.084168 | 0 | 0 | 0 | 0 | 0 | 0 | 0.338338 | 999 | 35 | 73 | 28.542857 | 0.754917 | 0 | 0 | 0.076923 | 0 | 0 | 0.072 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0 | 0 | 0.269231 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a930c6a8631d0516efaf030ca293cf0846ab5af6 | 1,309 | py | Python | run.py | nathanpainchaud/deep-learning-template | 32c48bb367cf12957e332afdec0869365294f402 | [
"MIT"
] | 1 | 2020-12-27T20:13:37.000Z | 2020-12-27T20:13:37.000Z | run.py | nathanpainchaud/deep-learning-template | 32c48bb367cf12957e332afdec0869365294f402 | [
"MIT"
] | null | null | null | run.py | nathanpainchaud/deep-learning-template | 32c48bb367cf12957e332afdec0869365294f402 | [
"MIT"
] | null | null | null | import logging
import os
import hydra
import pytorch_lightning as pl
from hydra.utils import instantiate
from omegaconf import DictConfig, OmegaConf
from deep_learning_template import BaseDataModule, BaseTask
from deep_learning_template.core import initialization as init
from deep_learning_template.utils.config impor... | 29.75 | 99 | 0.745607 | 172 | 1,309 | 5.482558 | 0.453488 | 0.042418 | 0.050901 | 0.076352 | 0.065748 | 0.065748 | 0 | 0 | 0 | 0 | 0 | 0.000908 | 0.1589 | 1,309 | 43 | 100 | 30.44186 | 0.855586 | 0.121467 | 0 | 0 | 0 | 0 | 0.11229 | 0.022989 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.333333 | 0 | 0.37037 | 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 | 1 | 0 | 0 | 0 | 0 | 1 |
a932e1d6bd7051976056ef2aa572a6514a0fe52f | 1,290 | py | Python | owasp-zap/zapGenAPI.py | 9447-team-4/Pipeline-dynamic-fuzzer | da6dd1c4af317c73c92d33678b3129a80e818cad | [
"MIT"
] | 1 | 2021-12-24T22:07:57.000Z | 2021-12-24T22:07:57.000Z | owasp-zap/zapGenAPI.py | 9447-team-4/Soteria-DevSecOps-Pipeline | da6dd1c4af317c73c92d33678b3129a80e818cad | [
"MIT"
] | null | null | null | owasp-zap/zapGenAPI.py | 9447-team-4/Soteria-DevSecOps-Pipeline | da6dd1c4af317c73c92d33678b3129a80e818cad | [
"MIT"
] | null | null | null | import yaml #pip install pyyaml
import json
import argparse
parser = argparse.ArgumentParser(description='Generates a new openAPI json file with server url specification given an existing openAPI json or yaml file')
parser.add_argument('-f','--file', type=str, metavar='', required=True, help='openAPI json or yaml file... | 39.090909 | 155 | 0.648062 | 184 | 1,290 | 4.358696 | 0.347826 | 0.104738 | 0.054863 | 0.078554 | 0.491272 | 0.491272 | 0.366584 | 0.366584 | 0.27182 | 0.27182 | 0 | 0.001929 | 0.196124 | 1,290 | 33 | 156 | 39.090909 | 0.771456 | 0.013953 | 0 | 0.275862 | 1 | 0 | 0.206761 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.103448 | 0 | 0.172414 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a93cac63f369119b9d28c0841ba756fd5b4af5cb | 5,736 | py | Python | static/visualization_scripts/maestro_label_generic_numbers.py | pszgaspar/protwis | 4989a67175ef3c95047d795c843cf6b9cf4141fa | [
"Apache-2.0"
] | 21 | 2016-01-20T09:33:14.000Z | 2021-12-20T19:19:45.000Z | static/visualization_scripts/maestro_label_generic_numbers.py | pszgaspar/protwis | 4989a67175ef3c95047d795c843cf6b9cf4141fa | [
"Apache-2.0"
] | 75 | 2016-02-26T16:29:58.000Z | 2022-03-21T12:35:13.000Z | static/visualization_scripts/maestro_label_generic_numbers.py | pszgaspar/protwis | 4989a67175ef3c95047d795c843cf6b9cf4141fa | [
"Apache-2.0"
] | 77 | 2016-01-22T08:44:26.000Z | 2022-02-01T15:54:56.000Z | #Name: Labeling generic residue numbers assigned via GPCRdb Tools...
#Command: pythonrun maestro_label_generic_numbers.panel
__doc__ = """
$Revision: 0.1 $
$Date: 2015/02/04 $
$Author: Stefan Mordalski $
"""
from PyQt4 import QtCore, QtGui
import schrodinger.ui.qt.appframework as appframework
from schrodinger.maestr... | 37.986755 | 170 | 0.667364 | 679 | 5,736 | 5.44919 | 0.235641 | 0.045946 | 0.03027 | 0.02027 | 0.373243 | 0.200541 | 0.200541 | 0.182162 | 0.174324 | 0.15027 | 0 | 0.01418 | 0.225418 | 5,736 | 150 | 171 | 38.24 | 0.818591 | 0.021095 | 0 | 0.132075 | 0 | 0.018868 | 0.166043 | 0.012293 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.037736 | null | null | 0.009434 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a93f6decb1d69c693c140f2129f3cd7e9ea8f5ea | 9,135 | py | Python | client.py | Wh1t3Fox/CS547-Project | 55c60704a4cdced5131bec8784cd4712fd925676 | [
"MIT"
] | null | null | null | client.py | Wh1t3Fox/CS547-Project | 55c60704a4cdced5131bec8784cd4712fd925676 | [
"MIT"
] | null | null | null | client.py | Wh1t3Fox/CS547-Project | 55c60704a4cdced5131bec8784cd4712fd925676 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# Client scrript
# PIR - Goldbergs Protocol
#CS 54701 Project- Craig West & Michael Kouremetis
#Goldbergs Protocol
#Client creates shamir shares, crpto primatives, etc... given parameters passed
#sends to shares to data bases with query emedded
# gets responses from databases and constructs qu... | 50.192308 | 208 | 0.666667 | 1,414 | 9,135 | 4.204385 | 0.234088 | 0.065601 | 0.054331 | 0.071489 | 0.29487 | 0.266106 | 0.23381 | 0.214466 | 0.175442 | 0.159294 | 0 | 0.018201 | 0.163985 | 9,135 | 181 | 209 | 50.469613 | 0.760246 | 0.190476 | 0 | 0.079646 | 0 | 0.088496 | 0.319016 | 0.012369 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.097345 | null | null | 0.19469 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a941ad26bb75df3fda21a3cdfe8e77d0dd2cf3d4 | 4,966 | py | Python | Sketches/MPS/Systems/MulticastTunnel/tunnelcomponents.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 12 | 2015-10-20T10:22:01.000Z | 2021-07-19T10:09:44.000Z | Sketches/MPS/Systems/MulticastTunnel/tunnelcomponents.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 2 | 2015-10-20T10:22:55.000Z | 2017-02-13T11:05:25.000Z | Sketches/MPS/Systems/MulticastTunnel/tunnelcomponents.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 6 | 2015-03-09T12:51:59.000Z | 2020-03-01T13:06:21.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2010 British Broadcasting Corporation and Kamaelia Contributors(1)
#
# (1) Kamaelia Contributors are listed in the AUTHORS file and at
# http://www.kamaelia.org/AUTHORS - please extend this file,
# not this notice.
#
# Licensed under the Apache License, Ve... | 34.013699 | 128 | 0.690294 | 614 | 4,966 | 5.473941 | 0.403909 | 0.004165 | 0.026183 | 0.029753 | 0.122285 | 0.114549 | 0.070812 | 0.046415 | 0.033918 | 0.033918 | 0 | 0.018454 | 0.192509 | 4,966 | 145 | 129 | 34.248276 | 0.819701 | 0 | 0 | 0.295082 | 0 | 0 | 0.050202 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.032787 | 0.04918 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a94242aef7b2de2263225baac50371a4953edf9b | 425 | py | Python | examples/enjoy_sphere_baselines.py | mcaniot/modular_sphere | dcced596fa79f924b361c5f8384e612778e9b360 | [
"Apache-2.0"
] | 1 | 2021-03-24T14:56:58.000Z | 2021-03-24T14:56:58.000Z | examples/enjoy_sphere_baselines.py | mcaniot/modular_sphere | dcced596fa79f924b361c5f8384e612778e9b360 | [
"Apache-2.0"
] | null | null | null | examples/enjoy_sphere_baselines.py | mcaniot/modular_sphere | dcced596fa79f924b361c5f8384e612778e9b360 | [
"Apache-2.0"
] | null | null | null | from baselines_tools import *
import os
def main():
path = None
if os.path.isdir(PATH_MODEL_1):
path = PATH_MODEL_1
elif os.path.isdir(PATH_MODEL_2):
path = PATH_MODEL_2
else:
print("Can't find path to model: %s or %s"
%(PATH_MODEL_1, PATH_MODEL_2))
return ... | 25 | 63 | 0.585882 | 62 | 425 | 3.645161 | 0.5 | 0.238938 | 0.132743 | 0.132743 | 0.176991 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023026 | 0.284706 | 425 | 17 | 64 | 25 | 0.720395 | 0 | 0 | 0 | 0 | 0 | 0.112676 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.266667 | 0.066667 | 0 | 0 | 0 | null | 1 | 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 | 0 | 1 |
a945e46f94eaca5e12237232c6139106a6416a50 | 1,174 | py | Python | Trees and Graphs/subtree_of_another_tree.py | fredricksimi/leetcode | f6352c26914ca77f915f5994746ecf0b36efc89b | [
"MIT"
] | null | null | null | Trees and Graphs/subtree_of_another_tree.py | fredricksimi/leetcode | f6352c26914ca77f915f5994746ecf0b36efc89b | [
"MIT"
] | null | null | null | Trees and Graphs/subtree_of_another_tree.py | fredricksimi/leetcode | f6352c26914ca77f915f5994746ecf0b36efc89b | [
"MIT"
] | 1 | 2021-12-05T12:27:46.000Z | 2021-12-05T12:27:46.000Z | """
Subtree of Another Tree:
Given two non-empty binary trees s and t, check whether tree t has exactly the same structure and node values with a subtree of s.
A subtree of s is a tree consists of a node in s and all of this node's descendants.
The tree s could also be considered as a subtree of itself.
https://leetco... | 30.894737 | 130 | 0.643952 | 182 | 1,174 | 4.131868 | 0.346154 | 0.05984 | 0.039894 | 0.053191 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001156 | 0.263203 | 1,174 | 37 | 131 | 31.72973 | 0.868208 | 0.333901 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0.05 | 0.65 | 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 | 1 | 0 | 0 | 1 |
a94a60d6e42f9f4ccb94fdcc3a05857ebdc62085 | 1,017 | py | Python | MPM/Matrix_Pencil_Method.py | dinrker/Ray_Learning_Methods | bd7cc0e11355aaf9826c97c5d56494946a54859a | [
"MIT"
] | null | null | null | MPM/Matrix_Pencil_Method.py | dinrker/Ray_Learning_Methods | bd7cc0e11355aaf9826c97c5d56494946a54859a | [
"MIT"
] | null | null | null | MPM/Matrix_Pencil_Method.py | dinrker/Ray_Learning_Methods | bd7cc0e11355aaf9826c97c5d56494946a54859a | [
"MIT"
] | null | null | null | import numpy as np
def NtoL(N):
return int(np.ceil(( np.ceil(N/3.0) + np.floor(N/2.0) )/2))
## Matrix Pencil Method
def Matrix_Pencil(y,tol=1e-3,L=0):
sh = y.shape
N = sh[0]
if sh[1]>1:
print 'Error: y should be a column vector'
if tol<0:
print 'Error: tol should be positive'
... | 22.108696 | 63 | 0.46411 | 195 | 1,017 | 2.410256 | 0.348718 | 0.053191 | 0.044681 | 0.042553 | 0.055319 | 0.055319 | 0 | 0 | 0 | 0 | 0 | 0.044978 | 0.344149 | 1,017 | 46 | 64 | 22.108696 | 0.65967 | 0.019666 | 0 | 0 | 0 | 0 | 0.063317 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.025641 | null | null | 0.051282 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a95543e09179498838b358d0db8c99fb12476b51 | 180 | py | Python | Test/6.3 udemy challenge.py | Miamiohlibs/TSscripts | 9d3be8742acfd4e6ec7c7fff944c030c57aff9f7 | [
"MIT"
] | null | null | null | Test/6.3 udemy challenge.py | Miamiohlibs/TSscripts | 9d3be8742acfd4e6ec7c7fff944c030c57aff9f7 | [
"MIT"
] | null | null | null | Test/6.3 udemy challenge.py | Miamiohlibs/TSscripts | 9d3be8742acfd4e6ec7c7fff944c030c57aff9f7 | [
"MIT"
] | null | null | null | name = input("what is your name? ")
age = int(input("how old are you {0}? ".format(name)))
if (18 <= age < 31):
print("welcome to holiday")
else:
print("you are not 18-30") | 30 | 54 | 0.605556 | 31 | 180 | 3.516129 | 0.741935 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 0.2 | 180 | 6 | 55 | 30 | 0.694444 | 0 | 0 | 0 | 0 | 0 | 0.414365 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a9563f23620dd547f48b77c5634810b43335d2fb | 990 | py | Python | nodes/H.6.3c/challenge_code.py | ankit27kh/Xanadu-Quantum-Codebook | 9ba7bbf86c04d53e80c9a2cf5a412f534a3d5756 | [
"Apache-2.0"
] | 31 | 2021-11-16T15:03:18.000Z | 2022-03-04T14:18:25.000Z | nodes/H.6.3c/challenge_code.py | ankit27kh/Xanadu-Quantum-Codebook | 9ba7bbf86c04d53e80c9a2cf5a412f534a3d5756 | [
"Apache-2.0"
] | 26 | 2021-11-16T02:20:17.000Z | 2022-03-07T15:44:28.000Z | nodes/H.6.3c/challenge_code.py | ankit27kh/Xanadu-Quantum-Codebook | 9ba7bbf86c04d53e80c9a2cf5a412f534a3d5756 | [
"Apache-2.0"
] | 17 | 2021-11-17T02:13:58.000Z | 2022-02-20T21:42:48.000Z | """The code template to supply to the front end. This is what the user will
be asked to complete and submit for grading.
Do not include any imports.
This is not a REPL environment so include explicit 'print' statements
for any outputs you want to be displayed back to the user.
Use triple single q... | 20.204082 | 75 | 0.551515 | 130 | 990 | 4.153846 | 0.6 | 0.044444 | 0.061111 | 0.077778 | 0.187037 | 0.187037 | 0.187037 | 0.137037 | 0.137037 | 0 | 0 | 0.005155 | 0.216162 | 990 | 48 | 76 | 20.625 | 0.690722 | 0.342424 | 0 | 0.566667 | 0 | 0 | 0.958333 | 0.043269 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0.1 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a9695e7395406e7493e6a3703e98923537c6c28e | 26,723 | py | Python | mytrading/configs.py | joeledwardson/betfair-browser | b641f134e60307250a0e51bafa849422ecf5264b | [
"MIT"
] | 3 | 2021-11-23T19:03:02.000Z | 2021-11-24T08:44:23.000Z | mytrading/configs.py | joeledwardson/betfair-browser | b641f134e60307250a0e51bafa849422ecf5264b | [
"MIT"
] | 2 | 2021-11-23T18:47:31.000Z | 2021-12-08T15:36:11.000Z | mytrading/configs.py | joeledwardson/betfair-browser | b641f134e60307250a0e51bafa849422ecf5264b | [
"MIT"
] | null | null | null | from typing import List, Dict, Optional
from myutils.registrar import Registrar
from myutils import dictionaries
import os, yaml
from os import path
import json
from .exceptions import FeatureConfigException
reg_plots = Registrar()
reg_features = Registrar()
KEY_SAMPLE = 'smp'
KEY_AVERAGE = 'avg'
KEY_TICKS = 'tck'
K... | 29.269441 | 116 | 0.352468 | 2,025 | 26,723 | 4.363457 | 0.134815 | 0.034857 | 0.044251 | 0.026143 | 0.623812 | 0.56598 | 0.496039 | 0.428701 | 0.405727 | 0.363626 | 0 | 0.010525 | 0.527149 | 26,723 | 912 | 117 | 29.301535 | 0.688192 | 0.035924 | 0 | 0.531175 | 0 | 0 | 0.210291 | 0.00506 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019185 | false | 0 | 0.008393 | 0.004796 | 0.046763 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 0 | 1 |
a969f5c642f00dbee7ccad96ee61cba6a4d60233 | 1,938 | py | Python | 1SiteRanking/Data Collection/create_site_table.py | HCH2CHO/EmotionMap | bc572b4182637dcdd65e9a13c92f2fa0d9a3d680 | [
"MIT"
] | 3 | 2021-07-15T15:58:52.000Z | 2021-07-16T13:22:47.000Z | 1SiteRanking/Data Collection/create_site_table.py | HCH2CHO/EmotionMap | bc572b4182637dcdd65e9a13c92f2fa0d9a3d680 | [
"MIT"
] | null | null | null | 1SiteRanking/Data Collection/create_site_table.py | HCH2CHO/EmotionMap | bc572b4182637dcdd65e9a13c92f2fa0d9a3d680 | [
"MIT"
] | 4 | 2017-08-04T12:41:06.000Z | 2019-01-31T14:55:10.000Z | # coding:utf-8
# version:python3.5.1
# author:kyh
# import geodata csv files to cloud database
import psycopg2
class CloudDatabase(object):
# Init database and input ip
# 初始化数据库并传入ip
def __init__(self, database, user, password, ip="127.0.0.1", port="5432"):
self.database = database
self.u... | 33.413793 | 102 | 0.567079 | 237 | 1,938 | 4.531646 | 0.371308 | 0.032588 | 0.037244 | 0.011173 | 0.083799 | 0.083799 | 0.083799 | 0.083799 | 0.083799 | 0.083799 | 0 | 0.023845 | 0.307534 | 1,938 | 58 | 103 | 33.413793 | 0.776453 | 0.147575 | 0 | 0.216216 | 0 | 0 | 0.086028 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108108 | false | 0.081081 | 0.081081 | 0 | 0.216216 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
a96a6c5f4ad202c1773c6d2bd3f33af6aadd9317 | 2,882 | py | Python | app/cost_assessment.py | EashanKaushik/car-damage-detecting-MaskRCNN | 48c255c6c181a32fb89781f81f6081721f7fc336 | [
"Apache-2.0"
] | 4 | 2021-06-20T14:23:56.000Z | 2022-01-03T07:32:04.000Z | app/cost_assessment.py | EashanKaushik/car-damage-detecting-MaskRCNN | 48c255c6c181a32fb89781f81f6081721f7fc336 | [
"Apache-2.0"
] | null | null | null | app/cost_assessment.py | EashanKaushik/car-damage-detecting-MaskRCNN | 48c255c6c181a32fb89781f81f6081721f7fc336 | [
"Apache-2.0"
] | 1 | 2022-02-12T07:34:07.000Z | 2022-02-12T07:34:07.000Z | import cv2
import numpy as np
def class_name(classid):
id_dict = {1:'Scratch', 2:'Dent', 3:'Shatter', 4:'Dislocation'}
return id_dict[classid]
def damage_cost(classid):
# cost_dict = {1: [800, 1400], 2:[1200, 3000],3:19000, 4:17000}
cost_dict = {1: 900, 2:1600, 3:19000, 4:17000}
return... | 37.921053 | 124 | 0.543373 | 393 | 2,882 | 3.788804 | 0.178117 | 0.104768 | 0.161182 | 0.188046 | 0.380121 | 0.380121 | 0.380121 | 0.380121 | 0.380121 | 0.380121 | 0 | 0.048841 | 0.296669 | 2,882 | 76 | 125 | 37.921053 | 0.685742 | 0.149549 | 0 | 0.296296 | 0 | 0 | 0.079814 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.037037 | 0 | 0.185185 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 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 | 0 | 1 |
a97326685e517e640ba68d0113e05b1a89d5183c | 962 | py | Python | opencv/q8.py | wuwuwuyuanhang/python | eb5ac23cb46c4beeab1638fda963dd154b9db1b7 | [
"MIT"
] | 1 | 2021-08-02T09:22:34.000Z | 2021-08-02T09:22:34.000Z | opencv/q8.py | wuwuwuyuanhang/python | eb5ac23cb46c4beeab1638fda963dd154b9db1b7 | [
"MIT"
] | null | null | null | opencv/q8.py | wuwuwuyuanhang/python | eb5ac23cb46c4beeab1638fda963dd154b9db1b7 | [
"MIT"
] | null | null | null | '''
@Author: wuwuwu
@Date: 2019-10-20 19:41:29
@LastEditors: wuwuwu
@LastEditTime: 2019-10-20 19:48:45
@Description: 最大池化
'''
import cv2 as cv
import numpy as np
def maxPooling(img, kernel_size=3):
"""
最大池化,在kernel_size*kernel_size范围内的像素最大值为该区域像素
:param img: 输入图片
:param kernel_size: 池化核大小
:return:... | 24.05 | 98 | 0.600832 | 145 | 962 | 3.827586 | 0.441379 | 0.234234 | 0.079279 | 0.036036 | 0.169369 | 0.169369 | 0.169369 | 0.169369 | 0.169369 | 0.169369 | 0 | 0.05146 | 0.252599 | 962 | 40 | 99 | 24.05 | 0.720445 | 0.227651 | 0 | 0 | 0 | 0 | 0.039492 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.095238 | 0 | 0.190476 | 0 | 0 | 0 | 0 | null | 1 | 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 | 0 | 1 |
a978d5c31b9f502e8b22f682ed96d9de8f535845 | 28,232 | py | Python | fileCleaner.py | Bostjan24/fileCleaner | 614cda2b262e5770e93b033baddfed5ace60ce13 | [
"MIT"
] | 1 | 2021-03-10T07:56:05.000Z | 2021-03-10T07:56:05.000Z | fileCleaner.py | plankobostjan/fileCleaner | 614cda2b262e5770e93b033baddfed5ace60ce13 | [
"MIT"
] | 8 | 2017-05-05T10:45:07.000Z | 2017-05-19T17:53:37.000Z | fileCleaner.py | Bostjan24/fileCleaner | 614cda2b262e5770e93b033baddfed5ace60ce13 | [
"MIT"
] | null | null | null | import os
import time
import send2trash
import subprocess
import argparse
import sys
import getpass
import mysql.connector
class Bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\0... | 40.04539 | 214 | 0.580264 | 3,171 | 28,232 | 5.098707 | 0.085777 | 0.044904 | 0.025977 | 0.033399 | 0.712024 | 0.628402 | 0.577932 | 0.510453 | 0.468642 | 0.444149 | 0 | 0.005116 | 0.300758 | 28,232 | 704 | 215 | 40.102273 | 0.81389 | 0.013956 | 0 | 0.610084 | 0 | 0.008403 | 0.20609 | 0.004925 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.043697 | 0.013445 | null | null | 0.191597 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a97c00cdc0e84d25e5f2d2b8fa849b4685a3af63 | 412 | py | Python | __Courses__/Python - Introduction to Python Programming - Udacity/C3. Control Flow/{Q}[Zip] Transpose with Zip.py | JUD210/Study-Note | 2add9db3f11d99370f49878f0c19e9caa60d2d02 | [
"MIT"
] | null | null | null | __Courses__/Python - Introduction to Python Programming - Udacity/C3. Control Flow/{Q}[Zip] Transpose with Zip.py | JUD210/Study-Note | 2add9db3f11d99370f49878f0c19e9caa60d2d02 | [
"MIT"
] | null | null | null | __Courses__/Python - Introduction to Python Programming - Udacity/C3. Control Flow/{Q}[Zip] Transpose with Zip.py | JUD210/Study-Note | 2add9db3f11d99370f49878f0c19e9caa60d2d02 | [
"MIT"
] | null | null | null | """
Use zip to transpose data from a 4-by-3 matrix to a 3-by-4 matrix. There's actually a cool trick for this! Feel free to look at the solutions if you can't figure it out.
"""
data = ((0, 1, 2), (3, 4, 5), (6, 7, 8), (9, 10, 11))
# 0 1 2
# 3 4 5
# 6 7 8
# 9 10 11
#
# Transpose : [data]^T
#
# 0 3 6 9
# 1 4... | 20.6 | 169 | 0.587379 | 89 | 412 | 2.696629 | 0.483146 | 0.108333 | 0.025 | 0.033333 | 0.116667 | 0.116667 | 0.116667 | 0.116667 | 0.116667 | 0.116667 | 0 | 0.151815 | 0.264563 | 412 | 19 | 170 | 21.684211 | 0.640264 | 0.628641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 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 | 1 | 0 | 1 |
a97c03a39afb2ffacda4b7cbc36d74356b7d4d73 | 1,266 | py | Python | setup.py | Fonolo/fonolo-python | 2bc8b5bbdaea60f1fad34ead154a1804dcf73746 | [
"MIT"
] | null | null | null | setup.py | Fonolo/fonolo-python | 2bc8b5bbdaea60f1fad34ead154a1804dcf73746 | [
"MIT"
] | null | null | null | setup.py | Fonolo/fonolo-python | 2bc8b5bbdaea60f1fad34ead154a1804dcf73746 | [
"MIT"
] | null | null | null | #
# This file is part of the Fonolo Python Wrapper package.
#
# (c) Foncloud, Inc.
#
# For the full copyright and license information, please view the LICENSE
# file that was distributed with this source code.
#
import os
import sys
try:
from setuptools import setup
except ImportError:
from distutils.core imp... | 26.375 | 73 | 0.608215 | 144 | 1,266 | 5.333333 | 0.611111 | 0.123698 | 0.16276 | 0.101563 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02139 | 0.261453 | 1,266 | 47 | 74 | 26.93617 | 0.8 | 0.154028 | 0 | 0.055556 | 0 | 0 | 0.526365 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.138889 | 0 | 0.138889 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a980240fa263dbb460603819aa7046d97ae19bc1 | 1,854 | py | Python | courier/elements/statistics.py | inidun/unesco_data_collection | 6157883ea391f370d350eaaed038dfde6ad7a8fe | [
"MIT"
] | 1 | 2021-04-06T16:27:57.000Z | 2021-04-06T16:27:57.000Z | courier/elements/statistics.py | humlab-unesco/unesco_data_collection | 7c49b8c61e52007f507a426582e164c82c7fe67d | [
"MIT"
] | 65 | 2020-06-09T13:27:18.000Z | 2022-03-23T14:29:59.000Z | courier/elements/statistics.py | inidun/unesco_data_collection | 6157883ea391f370d350eaaed038dfde6ad7a8fe | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
from typing import Any, Dict, List, Tuple
from courier.config import get_config
from courier.utils import flatten
from .elements import CourierIssue
CONFIG = get_config()
@dataclass
class IssueStatistics:
issue: CourierIssue
total_pages: int = field(init=False)
... | 37.08 | 112 | 0.679072 | 260 | 1,854 | 4.657692 | 0.253846 | 0.066061 | 0.115607 | 0.126342 | 0.314616 | 0.174236 | 0.117258 | 0.067713 | 0.067713 | 0.067713 | 0 | 0.00203 | 0.202805 | 1,854 | 49 | 113 | 37.836735 | 0.817321 | 0.033981 | 0 | 0 | 0 | 0 | 0.005031 | 0 | 0 | 0 | 0 | 0.020408 | 0 | 1 | 0.026316 | false | 0.026316 | 0.131579 | 0 | 0.473684 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a98ea17eff95ad99d570f2a892b2b4fe93e0a307 | 2,643 | py | Python | setup.py | weaverba137/comparator | 4f9e77ac7b6128ce74ef20c753720218b7335c50 | [
"BSD-3-Clause"
] | null | null | null | setup.py | weaverba137/comparator | 4f9e77ac7b6128ce74ef20c753720218b7335c50 | [
"BSD-3-Clause"
] | 1 | 2022-03-23T18:57:57.000Z | 2022-03-23T18:57:57.000Z | setup.py | weaverba137/comparator | 4f9e77ac7b6128ce74ef20c753720218b7335c50 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# Licensed under a 3-clause BSD style license - see LICENSE.rst
#
# Imports
#
import sys
from os.path import exists
#
# setuptools' sdist command ignores MANIFEST.in
#
from distutils.command.sdist import sdist as DistutilsSdist
# from ez_setup import use_setuptools
# use_setuptools()
from setuptoo... | 31.843373 | 99 | 0.705638 | 311 | 2,643 | 5.784566 | 0.475884 | 0.209561 | 0.028349 | 0.046693 | 0.033352 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005811 | 0.153613 | 2,643 | 82 | 100 | 32.231707 | 0.798391 | 0.25577 | 0 | 0 | 0 | 0 | 0.402174 | 0.040373 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.148936 | 0 | 0.148936 | 0 | 0 | 0 | 0 | null | 1 | 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 | 0 | 1 |
a994e104b2812745682faafd359769c4d80c73b0 | 845 | py | Python | app/models.py | HaeckelK/journal-api | 1764a8b8489e15c343053c03852c5bbda0e70182 | [
"MIT"
] | null | null | null | app/models.py | HaeckelK/journal-api | 1764a8b8489e15c343053c03852c5bbda0e70182 | [
"MIT"
] | null | null | null | app/models.py | HaeckelK/journal-api | 1764a8b8489e15c343053c03852c5bbda0e70182 | [
"MIT"
] | null | null | null | from sqlalchemy import Column, ForeignKey, Integer, String, DateTime
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
from .database import Base
class TimestampMixin(object):
created_at = Column(DateTime, default=func.now())
modified_at = Column(DateTime, default=func.now())
source... | 27.258065 | 68 | 0.730178 | 99 | 845 | 6.080808 | 0.383838 | 0.059801 | 0.074751 | 0.076412 | 0.225914 | 0.225914 | 0.126246 | 0.126246 | 0 | 0 | 0 | 0 | 0.15858 | 845 | 30 | 69 | 28.166667 | 0.846695 | 0 | 0 | 0.105263 | 0 | 0 | 0.053254 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.210526 | 0 | 1 | 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 | 1 | 0 | 0 | 1 |
a99eca71b378f7ad96043c81fd2c18208c46d34a | 3,101 | py | Python | gas_webscraper/google_maps_api.py | iggy12345/Private_Wont_Make_Sense_If_You_Download | aef983be6ac05e0d6d36446cb10350c6003ef2d1 | [
"MIT"
] | null | null | null | gas_webscraper/google_maps_api.py | iggy12345/Private_Wont_Make_Sense_If_You_Download | aef983be6ac05e0d6d36446cb10350c6003ef2d1 | [
"MIT"
] | null | null | null | gas_webscraper/google_maps_api.py | iggy12345/Private_Wont_Make_Sense_If_You_Download | aef983be6ac05e0d6d36446cb10350c6003ef2d1 | [
"MIT"
] | null | null | null | from WebsiteDescriptor import *
import googlemaps
from googlemaps import places
from tqdm import tqdm
import time
gmaps = googlemaps.Client(key='AIzaSyAFjRuP86SUl9EtuNOjjr12rY646RSp2Vo')
def find_station(browser, place_id: str) -> Website:
"""Finds a single station given a place_id and returns a website"""
... | 31.642857 | 118 | 0.600451 | 377 | 3,101 | 4.793103 | 0.35809 | 0.019369 | 0.009961 | 0.022136 | 0.123962 | 0.081904 | 0.081904 | 0.081904 | 0.081904 | 0.081904 | 0 | 0.028246 | 0.292164 | 3,101 | 97 | 119 | 31.969072 | 0.794989 | 0.079652 | 0 | 0.126761 | 0 | 0 | 0.170543 | 0.032065 | 0 | 0 | 0 | 0.010309 | 0 | 1 | 0.042254 | false | 0 | 0.084507 | 0 | 0.169014 | 0.098592 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a9a3943b42bb280bbe28f3a9c139acd35f536a02 | 525 | py | Python | src/quartile.py | kemingy/techie-delight | 886e2da8c95d0ea596b902b37f95f55f0f1c5053 | [
"FTL"
] | 2 | 2019-08-19T06:06:44.000Z | 2021-05-09T14:00:59.000Z | src/quartile.py | kemingy/techie-delight | 886e2da8c95d0ea596b902b37f95f55f0f1c5053 | [
"FTL"
] | null | null | null | src/quartile.py | kemingy/techie-delight | 886e2da8c95d0ea596b902b37f95f55f0f1c5053 | [
"FTL"
] | null | null | null | # Write an algorithm to generate 0 and 1 with 75% and 25% probability
# respectively using a specified function which produces either 0 or 1 each with
# 50% probability
from random import randint
def generate_quartile():
return randint(0, 1) & randint(0, 1)
if __name__ == '__main__':
n = 1000
... | 25 | 81 | 0.580952 | 72 | 525 | 4.083333 | 0.625 | 0.108844 | 0.061224 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063361 | 0.308571 | 525 | 20 | 82 | 26.25 | 0.746556 | 0.310476 | 0 | 0 | 1 | 0 | 0.094675 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0.083333 | 0.25 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
a9a3d1c59ebb5c2ef01a533d8ad5e914a2ece948 | 2,273 | py | Python | comet/utility/test/test_endpoint.py | dneise/Comet | abaa0da65d69f90a5262d81416477b4e71deb2ad | [
"BSD-2-Clause"
] | 15 | 2015-11-29T18:53:58.000Z | 2022-03-09T15:47:30.000Z | comet/utility/test/test_endpoint.py | dneise/Comet | abaa0da65d69f90a5262d81416477b4e71deb2ad | [
"BSD-2-Clause"
] | 29 | 2016-01-21T18:10:45.000Z | 2021-10-01T16:41:12.000Z | comet/utility/test/test_endpoint.py | dneise/Comet | abaa0da65d69f90a5262d81416477b4e71deb2ad | [
"BSD-2-Clause"
] | 11 | 2016-01-22T14:05:51.000Z | 2022-03-09T17:49:56.000Z | from twisted.internet import reactor
from twisted.trial import unittest
from comet.utility import coerce_to_client_endpoint, coerce_to_server_endpoint
class coerce_to_client_endpoint_TestCase(unittest.TestCase):
HOST, PORT, DEFAULT_PORT = "test", 1234, 4321
def test_good_tcp_parse(self):
ep = coerce... | 33.925373 | 86 | 0.679278 | 294 | 2,273 | 4.94898 | 0.142857 | 0.087973 | 0.140206 | 0.120962 | 0.764948 | 0.734021 | 0.692784 | 0.608935 | 0.593814 | 0.497595 | 0 | 0.006738 | 0.216454 | 2,273 | 66 | 87 | 34.439394 | 0.810219 | 0 | 0 | 0.431373 | 0 | 0 | 0.064672 | 0.021997 | 0 | 0 | 0 | 0 | 0.27451 | 1 | 0.196078 | false | 0 | 0.058824 | 0 | 0.313725 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 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 | 0 | 1 |
8d1101104a95a283e1985e3cb6d731d4ec8fe531 | 283 | py | Python | insta/migrations/0002_delete_picture.py | kiptoo-097/instagram | ba764cd8d56e7a006940f0a04b25bc84baadccda | [
"MIT"
] | 1 | 2020-11-25T00:29:55.000Z | 2020-11-25T00:29:55.000Z | insta/migrations/0002_delete_picture.py | kiptoo-097/instagram | ba764cd8d56e7a006940f0a04b25bc84baadccda | [
"MIT"
] | null | null | null | insta/migrations/0002_delete_picture.py | kiptoo-097/instagram | ba764cd8d56e7a006940f0a04b25bc84baadccda | [
"MIT"
] | null | null | null | # Generated by Django 3.1.3 on 2020-11-22 22:47
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('insta', '0001_initial'),
]
operations = [
migrations.DeleteModel(
name='Picture',
),
]
| 16.647059 | 47 | 0.586572 | 30 | 283 | 5.5 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.095477 | 0.29682 | 283 | 16 | 48 | 17.6875 | 0.733668 | 0.159011 | 0 | 0 | 1 | 0 | 0.101695 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.4 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8d14a1e169ead0f42962466667da0b42d17288fa | 5,171 | py | Python | utils/weight.py | AdamChristiansen/text-summarizer | 44dcb61650f946f1dc63cd78c65b7ce581b2a2a0 | [
"MIT"
] | null | null | null | utils/weight.py | AdamChristiansen/text-summarizer | 44dcb61650f946f1dc63cd78c65b7ce581b2a2a0 | [
"MIT"
] | null | null | null | utils/weight.py | AdamChristiansen/text-summarizer | 44dcb61650f946f1dc63cd78c65b7ce581b2a2a0 | [
"MIT"
] | null | null | null | """
This module defines functions used for assigning sentence weights.
"""
import numpy as np
def __normalize(ws, xs, normalize):
"""
Normalize an array by its sum.
# Arguments
* `ws` (np.array<num>): The original array.
* `xs` (np.array<num>): The array to be normalized.
* `normalize` (bool... | 27.359788 | 79 | 0.660027 | 718 | 5,171 | 4.668524 | 0.199164 | 0.0358 | 0.046539 | 0.038186 | 0.527446 | 0.495227 | 0.438246 | 0.428401 | 0.405728 | 0.405728 | 0 | 0.00385 | 0.246567 | 5,171 | 188 | 80 | 27.505319 | 0.85652 | 0.650551 | 0 | 0.071429 | 0 | 0 | 0.027542 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.02381 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8d1de3ac718aaa1ac7fbf60e1d1ee1c78dad733c | 1,775 | py | Python | RSA_keys.py | davarbri/jpegForensics | 66f20b861655481c4575430858977a80afddff65 | [
"CC0-1.0"
] | null | null | null | RSA_keys.py | davarbri/jpegForensics | 66f20b861655481c4575430858977a80afddff65 | [
"CC0-1.0"
] | null | null | null | RSA_keys.py | davarbri/jpegForensics | 66f20b861655481c4575430858977a80afddff65 | [
"CC0-1.0"
] | null | null | null | # !/usr/bin/python3
# RSA_keys.py
# David Arboledas Brihuega
# January 2022
# usage: python RSA_keys.py <bitslenght>
# --------------------------------------------
# The script generates a public and private
# RSA key pair of the desired length.
# Only 1024, 2048 and 4096 bits are possible
# ----------------... | 29.098361 | 72 | 0.55493 | 211 | 1,775 | 4.530806 | 0.379147 | 0.043933 | 0.028243 | 0.037657 | 0.322176 | 0.286611 | 0.175732 | 0.175732 | 0.175732 | 0 | 0 | 0.024642 | 0.291268 | 1,775 | 61 | 73 | 29.098361 | 0.735294 | 0.208451 | 0 | 0.325 | 1 | 0 | 0.267267 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.1 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8d2f2f5e18113aaf63c87db249598bb1950842ba | 358 | py | Python | swappingFiles.py | anudhatgithub/Functions | 59b4d477b3e75b9e5570d700efec3f215e3f1ea9 | [
"MIT"
] | null | null | null | swappingFiles.py | anudhatgithub/Functions | 59b4d477b3e75b9e5570d700efec3f215e3f1ea9 | [
"MIT"
] | null | null | null | swappingFiles.py | anudhatgithub/Functions | 59b4d477b3e75b9e5570d700efec3f215e3f1ea9 | [
"MIT"
] | null | null | null | def changecode():
file1=input("Enter your file name1")
file2=input("Enter your file name2")
with open(file1,"r") as a:
data_a = a.read()
with open(file2,"r") as b:
data_b = b.read()
with open(file1,"w") as a:
a.write(data_b)
with open(file2,"w") as b:
b.... | 19.888889 | 40 | 0.539106 | 55 | 358 | 3.436364 | 0.363636 | 0.169312 | 0.148148 | 0.190476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03252 | 0.312849 | 358 | 17 | 41 | 21.058824 | 0.735772 | 0 | 0 | 0 | 0 | 0 | 0.128852 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0 | 0 | 0.083333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 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 | 0 | 1 |
8d39b2e7c4c6d28467cd90a6c89c36fd06f29dcb | 358 | py | Python | src/ali.py | sivanWu0222/GithubApiVi | 58662b18f3bd816a7da34206548ce88895c31820 | [
"Apache-2.0"
] | null | null | null | src/ali.py | sivanWu0222/GithubApiVi | 58662b18f3bd816a7da34206548ce88895c31820 | [
"Apache-2.0"
] | null | null | null | src/ali.py | sivanWu0222/GithubApiVi | 58662b18f3bd816a7da34206548ce88895c31820 | [
"Apache-2.0"
] | null | null | null | import requests
import matplotlib.pyplot as plt
URL = "https://api.github.com/orgs/alibaba/repos"
repos_json = requests.get(URL).json()
star_data_repos = {}
for repo in repos_json:
star_data_repos[repo['name']] = repo['stargazers_count']
print(star_data_repos)
fig = plt.figure()
plt.bar(star_data_repos.keys()... | 27.538462 | 60 | 0.74581 | 56 | 358 | 4.535714 | 0.553571 | 0.15748 | 0.255906 | 0.133858 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106145 | 358 | 13 | 61 | 27.538462 | 0.79375 | 0 | 0 | 0 | 0 | 0 | 0.169916 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 0.090909 | 0 | 0 | 0 | null | 0 | 1 | 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 | 0 | 1 |
8d40b02bd2d67ebb5929d16cb373530d236ccb53 | 3,521 | py | Python | mocasin/platforms/mppa_coolidge.py | tud-ccc/mocasin | 6cf0a169e24d65d0fc859398f181dd500f928340 | [
"0BSD"
] | 1 | 2022-03-13T19:27:50.000Z | 2022-03-13T19:27:50.000Z | mocasin/platforms/mppa_coolidge.py | tud-ccc/mocasin | 6cf0a169e24d65d0fc859398f181dd500f928340 | [
"0BSD"
] | null | null | null | mocasin/platforms/mppa_coolidge.py | tud-ccc/mocasin | 6cf0a169e24d65d0fc859398f181dd500f928340 | [
"0BSD"
] | null | null | null | # Copyright (C) 2020 TU Dresden
# Licensed under the ISC license (see LICENSE.txt)
#
# Authors: Felix Teweleit, Andres Goens
from mocasin.common.platform import Platform, Processor
from mocasin.platforms.topologies import fullyConnectedTopology
from mocasin.platforms.platformDesigner import PlatformDesigner
from mocas... | 33.855769 | 86 | 0.518035 | 327 | 3,521 | 5.422018 | 0.373089 | 0.067118 | 0.162437 | 0.171461 | 0.283136 | 0 | 0 | 0 | 0 | 0 | 0 | 0.073756 | 0.372337 | 3,521 | 103 | 87 | 34.184466 | 0.728507 | 0.086055 | 0 | 0.121951 | 0 | 0 | 0.118417 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012195 | false | 0 | 0.060976 | 0 | 0.085366 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 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 | 0 | 1 |
8d40eb69956d8f0c5683fa9538d66271e929306f | 2,506 | py | Python | radiomicsfeatureextractionpipeline/backend/test/mock_ups/logic/dicom_file_reader/dicom_file_reader.py | Maastro-CDS-Imaging-Group/SQLite4Radiomics | e3a7afc181eec0fe04c18da00edc3772064e6758 | [
"Apache-2.0"
] | null | null | null | radiomicsfeatureextractionpipeline/backend/test/mock_ups/logic/dicom_file_reader/dicom_file_reader.py | Maastro-CDS-Imaging-Group/SQLite4Radiomics | e3a7afc181eec0fe04c18da00edc3772064e6758 | [
"Apache-2.0"
] | 6 | 2021-06-09T19:39:27.000Z | 2021-09-30T16:41:40.000Z | radiomicsfeatureextractionpipeline/backend/test/mock_ups/logic/dicom_file_reader/dicom_file_reader.py | Maastro-CDS-Imaging-Group/SQLite4Radiomics | e3a7afc181eec0fe04c18da00edc3772064e6758 | [
"Apache-2.0"
] | null | null | null | from typing import Optional, List, Any, Dict
from logic.dicom_file_reader.dicom_file_reader import DicomFileReader
from logic.entities.image import Image
class DicomFileReaderMockUp(DicomFileReader):
def __init__(self, dicom_data_directory: str) -> None:
super().__init__(dicom_data_directory)
s... | 40.419355 | 101 | 0.728252 | 321 | 2,506 | 5.186916 | 0.11215 | 0.118919 | 0.144144 | 0.118919 | 0.715916 | 0.6997 | 0.575976 | 0.356757 | 0.27988 | 0.165766 | 0 | 0 | 0.19593 | 2,506 | 61 | 102 | 41.081967 | 0.826303 | 0 | 0 | 0 | 0 | 0 | 0.01237 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.066667 | 0.066667 | 0.444444 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8d42811e1cbbb7d86be081fd839b6057f89a1aae | 6,531 | py | Python | tests/test_cli.py | mverteuil/mig3-client | 2603e78ac37b76dcd1e162ff3a0a042ab1d77269 | [
"MIT"
] | 3 | 2019-04-26T19:43:47.000Z | 2019-05-04T02:23:36.000Z | tests/test_cli.py | mverteuil/mig3-client | 2603e78ac37b76dcd1e162ff3a0a042ab1d77269 | [
"MIT"
] | 32 | 2019-05-04T02:22:46.000Z | 2021-07-14T10:22:05.000Z | tests/test_cli.py | mverteuil/mig3-client | 2603e78ac37b76dcd1e162ff3a0a042ab1d77269 | [
"MIT"
] | 2 | 2019-05-02T20:49:31.000Z | 2019-05-04T02:20:55.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import json
import mock
from mig3_client import ICON_FAILURE, ICON_SUCCESS, Regression, RequestError, mig3
ALL_ARGUMENTS = {"target": "--target t", "build": "--build b", "endpoint": "--endpoint e", "token": "--... | 38.64497 | 116 | 0.693309 | 841 | 6,531 | 5.222354 | 0.162901 | 0.098361 | 0.098816 | 0.100182 | 0.725638 | 0.680328 | 0.598816 | 0.578552 | 0.557149 | 0.557149 | 0 | 0.007464 | 0.179452 | 6,531 | 168 | 117 | 38.875 | 0.812092 | 0.068443 | 0 | 0.550459 | 0 | 0 | 0.170594 | 0.064388 | 0 | 0 | 0 | 0 | 0.422018 | 1 | 0.100917 | false | 0 | 0.036697 | 0 | 0.146789 | 0.009174 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8d44f10969abd10ae8c91814b9f8761f3d137efd | 2,583 | py | Python | ingest_askfm.py | eugene-yang/TAR-Content-Moderation | 33a06a5beae98be6bea882caf82d0cee66948321 | [
"Apache-2.0"
] | null | null | null | ingest_askfm.py | eugene-yang/TAR-Content-Moderation | 33a06a5beae98be6bea882caf82d0cee66948321 | [
"Apache-2.0"
] | null | null | null | ingest_askfm.py | eugene-yang/TAR-Content-Moderation | 33a06a5beae98be6bea882caf82d0cee66948321 | [
"Apache-2.0"
] | null | null | null | from tqdm import tqdm
import pandas as pd
import numpy as np
from pathlib import Path
from hashlib import md5
from sklearn.feature_extraction.text import TfidfVectorizer
from scipy import sparse as sp
import argparse
def break_text(raw):
return np.array([ i for i, t in enumerate(raw) if t == '¶' ][::2])
def ma... | 36.380282 | 108 | 0.602787 | 366 | 2,583 | 4.092896 | 0.396175 | 0.03271 | 0.032043 | 0.026702 | 0.098798 | 0.078772 | 0.036048 | 0.036048 | 0.036048 | 0 | 0 | 0.008052 | 0.230739 | 2,583 | 71 | 109 | 36.380282 | 0.744841 | 0.022455 | 0 | 0.035714 | 0 | 0 | 0.119651 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 1 | 0.035714 | false | 0.071429 | 0.142857 | 0.017857 | 0.196429 | 0.035714 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
8d4a19311c10bbf266b1e5c19c569215c87f596f | 1,219 | py | Python | src/devicetree.py | hstarmans/py-uio | 9cfbbef5eb96709685c9d32a2079e41cd5669b9b | [
"MIT"
] | null | null | null | src/devicetree.py | hstarmans/py-uio | 9cfbbef5eb96709685c9d32a2079e41cd5669b9b | [
"MIT"
] | null | null | null | src/devicetree.py | hstarmans/py-uio | 9cfbbef5eb96709685c9d32a2079e41cd5669b9b | [
"MIT"
] | null | null | null | import pathlib
import os
from struct import unpack_from as unpack
class Path( pathlib.PosixPath ):
__slots__ = ()
def bytes( path, prop ):
return (path/prop).read_bytes()
def u32( path, prop ):
return unpack( '>I', path.bytes( prop ) )[0]
def strs( path, prop ):
s = path.byte... | 24.38 | 73 | 0.528302 | 158 | 1,219 | 4.012658 | 0.310127 | 0.07571 | 0.066246 | 0.056782 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015682 | 0.319934 | 1,219 | 49 | 74 | 24.877551 | 0.749095 | 0 | 0 | 0.05 | 0 | 0 | 0.09434 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.175 | false | 0 | 0.075 | 0.1 | 0.6 | 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 | 1 | 0 | 0 | 1 |
8d4c4cfc64bcc6f2c988c295958cc04b5ffd1813 | 881 | py | Python | gst/views.py | ps96068/gg | 926c73bcb6c1a2b0999e760bd71d2b1a604e4d88 | [
"MIT"
] | null | null | null | gst/views.py | ps96068/gg | 926c73bcb6c1a2b0999e760bd71d2b1a604e4d88 | [
"MIT"
] | 6 | 2020-06-05T22:38:37.000Z | 2022-02-10T08:56:03.000Z | gst/views.py | ps96068/gg | 926c73bcb6c1a2b0999e760bd71d2b1a604e4d88 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
from django.contrib.auth import login, authenticate, logout
from .forms import UserLoginForm
def home_view(request):
context = {'name': 'Dave'}
return render(request, 'home.html',context)
def login_view(request):
form = UserLoginForm(request.POST or None)
... | 35.24 | 59 | 0.666288 | 105 | 881 | 5.495238 | 0.352381 | 0.076257 | 0.07279 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.212259 | 881 | 25 | 60 | 35.24 | 0.831412 | 0 | 0 | 0 | 0 | 0 | 0.07483 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0.090909 | 0.136364 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
8d58db0f8f0fce915b650aceaf49301e55883449 | 5,263 | py | Python | hopper_face_detection/src/vision/vision_utils.py | CreedyNZ/Hopper_ROS | 1e6354109f034a7d1d41a5b39ddcb632cfee64b2 | [
"MIT"
] | 36 | 2018-12-19T18:03:08.000Z | 2022-02-21T16:20:12.000Z | hopper_face_detection/src/vision/vision_utils.py | CreedyNZ/Hopper_ROS | 1e6354109f034a7d1d41a5b39ddcb632cfee64b2 | [
"MIT"
] | null | null | null | hopper_face_detection/src/vision/vision_utils.py | CreedyNZ/Hopper_ROS | 1e6354109f034a7d1d41a5b39ddcb632cfee64b2 | [
"MIT"
] | 7 | 2019-08-11T20:31:27.000Z | 2021-09-19T04:34:18.000Z | from __future__ import division
import os
import cv2 as cv
import numpy as np
from cv_bridge import CvBridge
def map_linear(value, in_min, in_max, out_min, out_max):
return (value - in_min) * (out_max - out_min) / (in_max - in_min) + out_min
def process_image(img, equalize_hist=False):
gray = cv.cvtColor(... | 37.592857 | 128 | 0.589778 | 716 | 5,263 | 4.079609 | 0.234637 | 0.038343 | 0.04519 | 0.053406 | 0.353304 | 0.312564 | 0.221842 | 0.187607 | 0.187607 | 0.169805 | 0 | 0.031619 | 0.308949 | 5,263 | 139 | 129 | 37.863309 | 0.771515 | 0.026031 | 0 | 0.207207 | 0 | 0 | 0.015421 | 0.012883 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.045045 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8d5ea5207a0e26d41a9f1fd1992a42bc27329e3d | 9,713 | py | Python | Utils.py | shalommmitz/vue-bootstrap-site-template | c3a292406c48eeff9684f214e80478a8ed404aa5 | [
"MIT"
] | null | null | null | Utils.py | shalommmitz/vue-bootstrap-site-template | c3a292406c48eeff9684f214e80478a8ed404aa5 | [
"MIT"
] | null | null | null | Utils.py | shalommmitz/vue-bootstrap-site-template | c3a292406c48eeff9684f214e80478a8ed404aa5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# functions currently not in use:
# def add_EXAMPLE_DATA(self, x, y_1, y_2):
# def delete_EXAMPLE_DATA(self, x):
# def get_interpolated_EXAMPLE_VAR(self, x):
# def get_EXAMPLE_VAR(self):
# def gen_axis_graph(self, short_axis, full_axis):
import serial, sys, time, datetime, os, ya... | 37.072519 | 109 | 0.583239 | 1,299 | 9,713 | 4.091609 | 0.189376 | 0.076576 | 0.009595 | 0.010536 | 0.342803 | 0.242897 | 0.177422 | 0.108749 | 0.07714 | 0.063594 | 0 | 0.016827 | 0.284155 | 9,713 | 261 | 110 | 37.214559 | 0.747591 | 0.040049 | 0 | 0.195122 | 0 | 0 | 0.173523 | 0.003131 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.009756 | null | null | 0.02439 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8d606a25db9b21aba44409fa477e09d63ae52bdb | 3,707 | py | Python | post/views.py | vis7/connection | 10f39dcc232887ad2f8af155bd685bd536a80a2d | [
"MIT"
] | 1 | 2021-07-02T04:45:29.000Z | 2021-07-02T04:45:29.000Z | post/views.py | vis7/connection | 10f39dcc232887ad2f8af155bd685bd536a80a2d | [
"MIT"
] | null | null | null | post/views.py | vis7/connection | 10f39dcc232887ad2f8af155bd685bd536a80a2d | [
"MIT"
] | null | null | null | from django.shortcuts import render, get_object_or_404
from django.contrib.auth.mixins import LoginRequiredMixin
from django.urls import reverse_lazy
from django.views.generic import (
CreateView,
UpdateView,
DeleteView,
DetailView,
ListView
)
from .models import Post, Comment
from .forms import Po... | 35.304762 | 104 | 0.713245 | 493 | 3,707 | 5.204868 | 0.25355 | 0.046765 | 0.062354 | 0.038971 | 0.368277 | 0.339829 | 0.192518 | 0.170694 | 0.112237 | 0.112237 | 0 | 0.003036 | 0.200432 | 3,707 | 104 | 105 | 35.644231 | 0.862686 | 0.230375 | 0 | 0.435897 | 0 | 0 | 0.095625 | 0.071277 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.74359 | 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 | 1 | 0 | 0 | 1 |
8d6f9843b6769717305f59238b0a9391750d1ec5 | 1,030 | py | Python | silver/migrations/0045_auto_20180402_1402.py | patelpritesh/Silver | 3e67ae15d494c4cd022f5ce0f60a0fbc298e854e | [
"Apache-2.0"
] | 1 | 2020-03-03T07:45:08.000Z | 2020-03-03T07:45:08.000Z | silver/migrations/0045_auto_20180402_1402.py | patelpritesh/Silver | 3e67ae15d494c4cd022f5ce0f60a0fbc298e854e | [
"Apache-2.0"
] | 1 | 2021-03-19T22:01:48.000Z | 2021-03-19T22:01:48.000Z | silver/migrations/0045_auto_20180402_1402.py | patelpritesh/Silver | 3e67ae15d494c4cd022f5ce0f60a0fbc298e854e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('silver', '0044_auto_20171115_1809'),
]
operations = [
migrations.AlterField(
model_name='customer',
... | 29.428571 | 114 | 0.587379 | 104 | 1,030 | 5.634615 | 0.451923 | 0.136519 | 0.170648 | 0.197952 | 0.476109 | 0.426621 | 0.343003 | 0.343003 | 0.343003 | 0.343003 | 0 | 0.039456 | 0.286408 | 1,030 | 34 | 115 | 30.294118 | 0.757823 | 0.020388 | 0 | 0.5 | 0 | 0 | 0.136048 | 0.02284 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 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 | 0 | 1 |
8d7060a9a744f1507510303cc85a19006f42c7bb | 994 | py | Python | crosshair/libimpl/randomlib_test.py | samuelchassot/CrossHair | 4eac7a23e470567cc23e6d0916ce6dd6820eacd8 | [
"MIT"
] | 785 | 2019-09-28T14:47:48.000Z | 2022-03-24T15:04:03.000Z | crosshair/libimpl/randomlib_test.py | samuelchassot/CrossHair | 4eac7a23e470567cc23e6d0916ce6dd6820eacd8 | [
"MIT"
] | 111 | 2019-10-19T14:43:03.000Z | 2022-03-29T07:23:32.000Z | crosshair/libimpl/randomlib_test.py | samuelchassot/CrossHair | 4eac7a23e470567cc23e6d0916ce6dd6820eacd8 | [
"MIT"
] | 36 | 2018-05-12T03:31:29.000Z | 2022-03-02T14:07:16.000Z | import copy
import random
from crosshair.core_and_libs import proxy_for_type, standalone_statespace
from crosshair.libimpl.randomlib import ExplicitRandom
def test_ExplicitRandom():
rng = ExplicitRandom([1, 2])
assert rng.randrange(0, 10) == 1
assert rng.choice(["a", "b", "c"]) == "c"
assert rng.choi... | 30.121212 | 84 | 0.643863 | 144 | 994 | 4.333333 | 0.305556 | 0.086538 | 0.057692 | 0.076923 | 0.290064 | 0.137821 | 0 | 0 | 0 | 0 | 0 | 0.045455 | 0.203219 | 994 | 32 | 85 | 31.0625 | 0.742424 | 0 | 0 | 0.08 | 0 | 0 | 0.069417 | 0.046278 | 0 | 0 | 0 | 0 | 0.48 | 1 | 0.12 | false | 0 | 0.16 | 0 | 0.28 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8d745c5f26a9f97101b244e534de872f3219bad5 | 542 | py | Python | openbook_posts/migrations/0031_postcomment_parent_comment.py | TamaraAbells/okuna-api | f87d8e80d2f182c01dbce68155ded0078ee707e4 | [
"MIT"
] | 164 | 2019-07-29T17:59:06.000Z | 2022-03-19T21:36:01.000Z | openbook_posts/migrations/0031_postcomment_parent_comment.py | TamaraAbells/okuna-api | f87d8e80d2f182c01dbce68155ded0078ee707e4 | [
"MIT"
] | 188 | 2019-03-16T09:53:25.000Z | 2019-07-25T14:57:24.000Z | openbook_posts/migrations/0031_postcomment_parent_comment.py | TamaraAbells/okuna-api | f87d8e80d2f182c01dbce68155ded0078ee707e4 | [
"MIT"
] | 80 | 2019-08-03T17:49:08.000Z | 2022-02-28T16:56:33.000Z | # Generated by Django 2.2 on 2019-05-02 17:34
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('openbook_posts', '0030_post_is_closed'),
]
operations = [
migrations.AddField(
model_name='postco... | 27.1 | 161 | 0.667897 | 63 | 542 | 5.603175 | 0.666667 | 0.067989 | 0.07932 | 0.124646 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042353 | 0.215867 | 542 | 19 | 162 | 28.526316 | 0.788235 | 0.079336 | 0 | 0 | 1 | 0 | 0.183099 | 0.052314 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.384615 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8d79aa1e1ed5c5f3beb4f99c6a64ef2309e9a25b | 1,420 | py | Python | app/oauth2.py | AKASHCS50/FastAPI | 2adf498c4b024a5b23710d509700128bafa36941 | [
"MIT"
] | 1 | 2021-11-12T11:42:52.000Z | 2021-11-12T11:42:52.000Z | app/oauth2.py | AKASHCS50/FastAPI | 2adf498c4b024a5b23710d509700128bafa36941 | [
"MIT"
] | null | null | null | app/oauth2.py | AKASHCS50/FastAPI | 2adf498c4b024a5b23710d509700128bafa36941 | [
"MIT"
] | null | null | null | from fastapi import Depends, status, HTTPException
from fastapi.exceptions import HTTPException
from fastapi.security import OAuth2PasswordBearer
from jose import JWTError, jwt
from datetime import datetime, timedelta
from . import schemas
SECRET_KEY = "u7x!A%D*G-KaPdSgUkXp2s5v8y/B?E(H+MbQeThWmYq3t6w9z$C&F)J@NcRfUjXn... | 30.212766 | 123 | 0.733099 | 174 | 1,420 | 5.781609 | 0.488506 | 0.054672 | 0.047714 | 0.04175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016351 | 0.18169 | 1,420 | 46 | 124 | 30.869565 | 0.849398 | 0 | 0 | 0.066667 | 0 | 0.033333 | 0.095775 | 0.04507 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0.066667 | 0.2 | 0 | 0.4 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
8d7e4fd56f80d000be05c4a34e70f9e63df4e32b | 4,664 | py | Python | post_processing/compute_dumbbell_acf.py | gwpark-git/dynamics_of_networks_and_colloids | 0b0a3687533379ec75171ae6b906aeff5bedfbba | [
"MIT"
] | null | null | null | post_processing/compute_dumbbell_acf.py | gwpark-git/dynamics_of_networks_and_colloids | 0b0a3687533379ec75171ae6b906aeff5bedfbba | [
"MIT"
] | null | null | null | post_processing/compute_dumbbell_acf.py | gwpark-git/dynamics_of_networks_and_colloids | 0b0a3687533379ec75171ae6b906aeff5bedfbba | [
"MIT"
] | null | null | null |
from numpy import *
from acf_fcn import *
import sys
def tauij_acf_con(dat):
tau_12 = dat[:, 21]
tau_13 = dat[:, 22]
tau_23 = dat[:, 23]
return (corr_FFT(tau_12, tau_12) + corr_FFT(tau_13, tau_13) + corr_FFT(tau_23, tau_23))/5.
def Nij_con(dat, i, j):
con_st = 17
tau_ii = dat[:, con_st + i]
... | 45.281553 | 168 | 0.565395 | 797 | 4,664 | 3.050188 | 0.134253 | 0.065817 | 0.034965 | 0.025915 | 0.447552 | 0.380502 | 0.358289 | 0.346771 | 0.336487 | 0.303579 | 0 | 0.044285 | 0.283448 | 4,664 | 102 | 169 | 45.72549 | 0.683124 | 0.302316 | 0 | 0.089552 | 0 | 0.014925 | 0.203038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.044776 | null | null | 0.208955 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8d80038825e3401bfa5bc2a57fb4f398ed64eb0f | 8,340 | py | Python | add_to_files.py | cdutsov/meteo | 4aed1af2fb8b4e3762e453d0d66f921aa2dc3f7b | [
"MIT"
] | 1 | 2017-06-06T05:27:25.000Z | 2017-06-06T05:27:25.000Z | add_to_files.py | cdutsov/meteo | 4aed1af2fb8b4e3762e453d0d66f921aa2dc3f7b | [
"MIT"
] | null | null | null | add_to_files.py | cdutsov/meteo | 4aed1af2fb8b4e3762e453d0d66f921aa2dc3f7b | [
"MIT"
] | null | null | null | import json
import os
import datetime
import threading
import gpxpy
import gpxpy.gpx
from Adafruit_BME280 import *
import paho.mqtt.client as paho
import veml6070
import time
from external_tracker import post_update, TRACKER_URL
from read_serial import get_dust_particles, GPS, get_emf
import pickle
import serial
fr... | 34.46281 | 119 | 0.602518 | 1,029 | 8,340 | 4.688047 | 0.216715 | 0.007463 | 0.00995 | 0.011609 | 0.229892 | 0.19859 | 0.153814 | 0.135572 | 0.100746 | 0.100746 | 0 | 0.020445 | 0.261031 | 8,340 | 241 | 120 | 34.605809 | 0.762291 | 0.06211 | 0 | 0.2 | 0 | 0.017143 | 0.14531 | 0.023962 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.005714 | 0.085714 | null | null | 0.022857 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
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