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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
13a4eaea9e2402891521cc56201ae27b7976fb0d | 4,794 | py | Python | src/ezdxf/math/bulge.py | dmtvanzanten/ezdxf | 6fe9d0aa961e011c87768aa6511256de21a662dd | [
"MIT"
] | null | null | null | src/ezdxf/math/bulge.py | dmtvanzanten/ezdxf | 6fe9d0aa961e011c87768aa6511256de21a662dd | [
"MIT"
] | null | null | null | src/ezdxf/math/bulge.py | dmtvanzanten/ezdxf | 6fe9d0aa961e011c87768aa6511256de21a662dd | [
"MIT"
] | null | null | null | # Copyright (c) 2018-2021 Manfred Moitzi
# License: MIT License
# source: http://www.lee-mac.com/bulgeconversion.html
# source: http://www.afralisp.net/archive/lisp/Bulges1.htm
from typing import Any, TYPE_CHECKING, Tuple
import math
from ezdxf.math import Vec2
if TYPE_CHECKING:
from ezdxf.eztypes import Vertex
_... | 32.391892 | 79 | 0.629954 | 643 | 4,794 | 4.553655 | 0.169518 | 0.099044 | 0.048839 | 0.093238 | 0.416325 | 0.406421 | 0.338456 | 0.304645 | 0.183743 | 0.183743 | 0 | 0.016676 | 0.261994 | 4,794 | 147 | 80 | 32.612245 | 0.81091 | 0.440968 | 0 | 0.040816 | 0 | 0 | 0.061703 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.163265 | false | 0 | 0.081633 | 0.020408 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13a54ea2fa4b8b8724c32c2f486041ebcedd4707 | 33,005 | py | Python | mypython/keys.py | asmeurer/mypython | ae984926739cc2bb3abe70566762d7b4052ed0ae | [
"MIT"
] | 27 | 2017-02-09T06:18:30.000Z | 2022-02-16T08:32:42.000Z | mypython/keys.py | asmeurer/mypython | ae984926739cc2bb3abe70566762d7b4052ed0ae | [
"MIT"
] | 1 | 2022-01-20T20:23:41.000Z | 2022-01-20T20:23:41.000Z | mypython/keys.py | asmeurer/mypython | ae984926739cc2bb3abe70566762d7b4052ed0ae | [
"MIT"
] | 2 | 2019-12-14T06:45:04.000Z | 2021-10-04T00:28:48.000Z | from prompt_toolkit.key_binding.bindings.named_commands import (accept_line,
self_insert, backward_delete_char, beginning_of_line)
from prompt_toolkit.key_binding.bindings.basic import if_no_repeat
from prompt_toolkit.key_binding.bindings.basic import load_basic_bindings
from prompt_toolkit.key_binding.bindings.ema... | 34.344433 | 117 | 0.676988 | 4,436 | 33,005 | 4.838819 | 0.124211 | 0.071745 | 0.067086 | 0.040531 | 0.475611 | 0.40191 | 0.339716 | 0.308083 | 0.266853 | 0.252923 | 0 | 0.007133 | 0.218391 | 33,005 | 960 | 118 | 34.380208 | 0.824902 | 0.153371 | 0 | 0.360305 | 0 | 0.001527 | 0.050879 | 0.005484 | 0 | 0 | 0 | 0.003125 | 0 | 1 | 0.08855 | false | 0.001527 | 0.041221 | 0.001527 | 0.160305 | 0.006107 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13a5765c2edbddbec6f546bc1dadb0d5693914fe | 10,909 | py | Python | demand/preday_model_estimation/isg.py | gusugusu1018/simmobility-prod | d30a5ba353673f8fd35f4868c26994a0206a40b6 | [
"MIT"
] | 50 | 2018-12-21T08:21:38.000Z | 2022-01-24T09:47:59.000Z | demand/preday_model_estimation/isg.py | gusugusu1018/simmobility-prod | d30a5ba353673f8fd35f4868c26994a0206a40b6 | [
"MIT"
] | 2 | 2018-12-19T13:42:47.000Z | 2019-05-13T04:11:45.000Z | demand/preday_model_estimation/isg.py | gusugusu1018/simmobility-prod | d30a5ba353673f8fd35f4868c26994a0206a40b6 | [
"MIT"
] | 27 | 2018-11-28T07:30:34.000Z | 2022-02-05T02:22:26.000Z | from biogeme import *
from headers import *
from loglikelihood import *
from statistics import *
from nested import *
#import random
cons_work= Beta('cons for work', 0,-10,10,0)
cons_edu = Beta('cons for education',0,-50,10,0)
cons_shopping = Beta('cons for shopping',0,-10,10,0)
cons_... | 26.098086 | 94 | 0.735356 | 2,047 | 10,909 | 3.641426 | 0.06595 | 0.038235 | 0.063724 | 0.049906 | 0.609471 | 0.479206 | 0.294741 | 0.090555 | 0.031393 | 0 | 0 | 0.130453 | 0.121643 | 10,909 | 418 | 95 | 26.098086 | 0.647464 | 0.009533 | 0 | 0 | 0 | 0 | 0.244269 | 0.002023 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.037559 | 0.023474 | 0 | 0.023474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13a8c046daa5c36fb60a09676a0be10c4e57fb9f | 4,227 | py | Python | code/prisonersDilemma.py | ben9583/PrisonersDilemmaTournament | 8227c05f835c93a0b30feb4207a7d7c631e670a0 | [
"MIT"
] | 1 | 2021-09-16T03:38:21.000Z | 2021-09-16T03:38:21.000Z | code/prisonersDilemma.py | ben9583/PrisonersDilemmaTournament | 8227c05f835c93a0b30feb4207a7d7c631e670a0 | [
"MIT"
] | null | null | null | code/prisonersDilemma.py | ben9583/PrisonersDilemmaTournament | 8227c05f835c93a0b30feb4207a7d7c631e670a0 | [
"MIT"
] | null | null | null | import os
import itertools
import importlib
import numpy as np
import random
STRATEGY_FOLDER = "exampleStrats"
RESULTS_FILE = "results.txt"
pointsArray = [[1,5],[0,3]] # The i-j-th element of this array is how many points you receive if you do play i, and your opponent does play j.
moveLabels = ["D","C"]
#... | 37.078947 | 210 | 0.62503 | 543 | 4,227 | 4.813996 | 0.35175 | 0.041316 | 0.013772 | 0.00306 | 0.109411 | 0.085692 | 0.018363 | 0 | 0 | 0 | 0 | 0.018647 | 0.251479 | 4,227 | 113 | 211 | 37.40708 | 0.807522 | 0.178377 | 0 | 0.02439 | 0 | 0 | 0.06844 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073171 | false | 0 | 0.085366 | 0 | 0.207317 | 0.02439 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13aef1dee9a4b31316309780ab660b17ad23d9b2 | 1,285 | py | Python | docs/buildscripts/docs.py | cwlalyy/mongo-c-driver | d771be13bc8f7d8b84d233de6fdc725d9bb337cc | [
"Apache-2.0"
] | 13 | 2016-07-14T16:36:59.000Z | 2018-06-01T18:06:14.000Z | docs/buildscripts/docs.py | cwlalyy/mongo-c-driver | d771be13bc8f7d8b84d233de6fdc725d9bb337cc | [
"Apache-2.0"
] | null | null | null | docs/buildscripts/docs.py | cwlalyy/mongo-c-driver | d771be13bc8f7d8b84d233de6fdc725d9bb337cc | [
"Apache-2.0"
] | 9 | 2015-01-26T09:30:41.000Z | 2016-03-15T14:48:18.000Z | """Build the C client docs.
"""
from __future__ import with_statement
import os
import shutil
import socket
import subprocess
import time
import urllib2
def clean_dir(dir):
try:
shutil.rmtree(dir)
except:
pass
os.makedirs(dir)
def gen_api(dir):
clean_dir(dir)
clean_dir("docs/sourc... | 22.155172 | 79 | 0.636576 | 173 | 1,285 | 4.601156 | 0.369942 | 0.062814 | 0.041457 | 0.035176 | 0.213568 | 0.095477 | 0.095477 | 0.095477 | 0.095477 | 0 | 0 | 0.001974 | 0.211673 | 1,285 | 57 | 80 | 22.54386 | 0.78381 | 0.056031 | 0 | 0.102564 | 0 | 0 | 0.2425 | 0.068333 | 0 | 0 | 0 | 0 | 0 | 1 | 0.128205 | false | 0.025641 | 0.179487 | 0 | 0.333333 | 0.051282 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13afb94123467877efe58458ed4c502384fb753b | 1,921 | py | Python | tilegame/render/rs.py | defgsus/thegame | 38a627d9108f1418b94b08831fd640dd87fbba83 | [
"MIT"
] | 1 | 2021-11-05T11:49:26.000Z | 2021-11-05T11:49:26.000Z | tilegame/render/rs.py | defgsus/thegame | 38a627d9108f1418b94b08831fd640dd87fbba83 | [
"MIT"
] | null | null | null | tilegame/render/rs.py | defgsus/thegame | 38a627d9108f1418b94b08831fd640dd87fbba83 | [
"MIT"
] | null | null | null | import glm
import math
from lib.opengl import RenderSettings
class GameProjection:
def __init__(self, rs: "GameRenderSettings"):
self.rs = rs
self.scale = 10.
self.rotation_deg = 0.
self.location = glm.vec3(0)
self._stack = []
def projection_matrix_4(self) -> glm.mat... | 26.315068 | 90 | 0.563248 | 252 | 1,921 | 4.111111 | 0.261905 | 0.081081 | 0.072394 | 0.027027 | 0.086873 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035503 | 0.2962 | 1,921 | 72 | 91 | 26.680556 | 0.730769 | 0 | 0 | 0.052632 | 0 | 0 | 0.031234 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.175439 | false | 0 | 0.052632 | 0 | 0.350877 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13afbf984a23501bfd2bc3f3a3b28ed6375a3779 | 4,865 | py | Python | tools/stats/export_slow_tests.py | stungkit/pytorch | 0f05e398705bf15406bce79f7ee57d3935ad2abd | [
"Intel"
] | 2 | 2020-03-13T06:57:49.000Z | 2020-05-17T04:18:14.000Z | tools/stats/export_slow_tests.py | ellhe-blaster/pytorch | e5282c3cb8bf6ad8c5161f9d0cc271edb9abed25 | [
"Intel"
] | 1 | 2022-01-10T18:39:28.000Z | 2022-01-10T19:15:57.000Z | tools/stats/export_slow_tests.py | ellhe-blaster/pytorch | e5282c3cb8bf6ad8c5161f9d0cc271edb9abed25 | [
"Intel"
] | 1 | 2022-03-26T14:42:50.000Z | 2022-03-26T14:42:50.000Z | #!/usr/bin/env python3
import argparse
import json
import os
import statistics
from collections import defaultdict
from tools.stats.s3_stat_parser import (
get_previous_reports_for_branch,
Report,
Version2Report,
)
from typing import cast, DefaultDict, Dict, List, Any
from urllib.request import urlopen
SL... | 36.856061 | 127 | 0.658787 | 634 | 4,865 | 4.805994 | 0.318612 | 0.050213 | 0.031506 | 0.029537 | 0.09255 | 0.022973 | 0.022973 | 0.022973 | 0 | 0 | 0 | 0.005426 | 0.242343 | 4,865 | 131 | 128 | 37.137405 | 0.821215 | 0.072148 | 0 | 0.076923 | 0 | 0.038462 | 0.196805 | 0.025072 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067308 | false | 0 | 0.076923 | 0.009615 | 0.211538 | 0.009615 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b0a600d04c4f624b452b2451a329662c1e6704 | 14,128 | py | Python | ml/rl/evaluation/weighted_sequential_doubly_robust_estimator.py | michaeltashman/Horizon | ee310b34adeb807bbae379a6e1703d0f725f26a9 | [
"BSD-3-Clause"
] | 1 | 2020-07-30T06:15:20.000Z | 2020-07-30T06:15:20.000Z | ml/rl/evaluation/weighted_sequential_doubly_robust_estimator.py | michaeltashman/Horizon | ee310b34adeb807bbae379a6e1703d0f725f26a9 | [
"BSD-3-Clause"
] | null | null | null | ml/rl/evaluation/weighted_sequential_doubly_robust_estimator.py | michaeltashman/Horizon | ee310b34adeb807bbae379a6e1703d0f725f26a9 | [
"BSD-3-Clause"
] | 1 | 2019-06-05T15:52:18.000Z | 2019-06-05T15:52:18.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
import itertools
import logging
import numpy as np
import scipy as sp
import torch
from ml.rl.evaluation.cpe import CpeEstimate
from ml.rl.evaluation.evaluation_data_page import EvaluationDataPage
logger = logging.getLogg... | 37.674667 | 106 | 0.613675 | 1,477 | 14,128 | 5.49763 | 0.163846 | 0.098399 | 0.03202 | 0.041872 | 0.41835 | 0.29803 | 0.250739 | 0.22266 | 0.22266 | 0.178941 | 0 | 0.011646 | 0.313208 | 14,128 | 374 | 107 | 37.775401 | 0.825209 | 0.046928 | 0 | 0.232484 | 0 | 0 | 0.001119 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028662 | false | 0 | 0.136943 | 0.003185 | 0.213376 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b20f00d86e94eb5e2fb0079121846394df7d95 | 5,255 | py | Python | src/wspc/feature_selection.py | shakedna1/wspc_rep | f4492af8cec25a3f7b00687c08d30754a1c0c91f | [
"MIT"
] | null | null | null | src/wspc/feature_selection.py | shakedna1/wspc_rep | f4492af8cec25a3f7b00687c08d30754a1c0c91f | [
"MIT"
] | null | null | null | src/wspc/feature_selection.py | shakedna1/wspc_rep | f4492af8cec25a3f7b00687c08d30754a1c0c91f | [
"MIT"
] | null | null | null | import numpy as np
import sklearn
import pandas as pd
import scipy.spatial.distance as ssd
from scipy.cluster import hierarchy
from scipy.stats import chi2_contingency
from sklearn.base import BaseEstimator
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_extraction.text import CountVectorizer
f... | 33.259494 | 120 | 0.664891 | 621 | 5,255 | 5.444444 | 0.297907 | 0.041408 | 0.024845 | 0.024845 | 0.069506 | 0.033126 | 0.033126 | 0.033126 | 0.033126 | 0.033126 | 0 | 0.00536 | 0.254424 | 5,255 | 157 | 121 | 33.471338 | 0.85758 | 0.350714 | 0 | 0 | 0 | 0 | 0.039016 | 0.025902 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135593 | false | 0 | 0.186441 | 0 | 0.440678 | 0.016949 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b2ef5da8cb4bdd6ae2ffffe9632e5405ed5cb0 | 5,985 | py | Python | Python3/PS_scraping_selenium.py | fsj-digital/pages | 8360f27e67974ed2b4f39eb64377f39c0189a224 | [
"MIT"
] | 5 | 2019-10-28T19:09:16.000Z | 2021-08-19T07:44:54.000Z | Python3/PS_scraping_selenium.py | fsj-digital/pages | 8360f27e67974ed2b4f39eb64377f39c0189a224 | [
"MIT"
] | null | null | null | Python3/PS_scraping_selenium.py | fsj-digital/pages | 8360f27e67974ed2b4f39eb64377f39c0189a224 | [
"MIT"
] | 6 | 2020-04-28T22:33:06.000Z | 2021-06-22T15:53:52.000Z | from bs4 import BeautifulSoup
import requests
import re
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.by import By
from selenium import webdriver
from seleni... | 43.057554 | 143 | 0.637594 | 677 | 5,985 | 5.511078 | 0.264402 | 0.028947 | 0.037523 | 0.0394 | 0.491289 | 0.472259 | 0.372018 | 0.372018 | 0.372018 | 0.356741 | 0 | 0.010379 | 0.259482 | 5,985 | 138 | 144 | 43.369565 | 0.831453 | 0.1066 | 0 | 0.46875 | 0 | 0 | 0.162944 | 0.02966 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023438 | false | 0 | 0.101563 | 0 | 0.132813 | 0.085938 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b41f50da86c6a2be3204ada5e6385e678b7b05 | 5,531 | py | Python | AppTest/testTCPserver.py | STRATOLOGIC/SpacePyLibrary | 89fc3873c6d787ad4e391f6080d9dd3218ffc4a2 | [
"MIT"
] | 22 | 2015-01-22T13:40:22.000Z | 2022-02-19T02:03:12.000Z | AppTest/testTCPserver.py | STRATOLOGIC/SpacePyLibrary | 89fc3873c6d787ad4e391f6080d9dd3218ffc4a2 | [
"MIT"
] | 3 | 2018-09-28T13:14:40.000Z | 2022-02-08T14:19:13.000Z | AppTest/testTCPserver.py | STRATOLOGIC/SpacePyLibrary | 89fc3873c6d787ad4e391f6080d9dd3218ffc4a2 | [
"MIT"
] | 11 | 2016-06-01T11:53:56.000Z | 2022-02-08T14:19:34.000Z | #!/usr/bin/env python3
#******************************************************************************
# (C) 2018, Stefan Korner, Austria *
# *
# The Space Python Library is free software; you can redi... | 39.22695 | 83 | 0.513108 | 529 | 5,531 | 5.3138 | 0.385633 | 0.01921 | 0.019922 | 0.024191 | 0.16471 | 0.139808 | 0.109925 | 0.088225 | 0.088225 | 0.088225 | 0 | 0.007203 | 0.246972 | 5,531 | 140 | 84 | 39.507143 | 0.667707 | 0.503526 | 0 | 0.164384 | 0 | 0 | 0.088224 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082192 | false | 0.013699 | 0.041096 | 0 | 0.178082 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b42a597f46ffd75065d8212ea8951934240d0a | 9,253 | py | Python | tests/clientlib_test.py | yoavcaspi/pre-commit | 77947f212e7b88a479dbe6feebc60a9f773e8c13 | [
"MIT"
] | null | null | null | tests/clientlib_test.py | yoavcaspi/pre-commit | 77947f212e7b88a479dbe6feebc60a9f773e8c13 | [
"MIT"
] | null | null | null | tests/clientlib_test.py | yoavcaspi/pre-commit | 77947f212e7b88a479dbe6feebc60a9f773e8c13 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import logging
import cfgv
import pytest
import pre_commit.constants as C
from pre_commit.clientlib import check_type_tag
from pre_commit.clientlib import CONFIG_HOOK_DICT
from pre_commit.clientlib import CONFIG_REPO_DICT
from pre_commit.clientlib import CONFIG_SCHEMA
from pre... | 29.189274 | 78 | 0.556576 | 1,016 | 9,253 | 4.84252 | 0.201772 | 0.04939 | 0.02378 | 0.040244 | 0.511382 | 0.394715 | 0.321138 | 0.263211 | 0.204675 | 0.172561 | 0 | 0.015342 | 0.302605 | 9,253 | 316 | 79 | 29.281646 | 0.747094 | 0.041392 | 0 | 0.433594 | 0 | 0 | 0.18262 | 0.041926 | 0 | 0 | 0 | 0 | 0.070313 | 1 | 0.089844 | false | 0.007813 | 0.058594 | 0 | 0.15625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b520f65af9148fce1413d5d355fa797126e985 | 5,494 | py | Python | ikalog/ui/options.py | fetus-hina/IkaLog | bd476da541fcc296f792d4db76a6b9174c4777ad | [
"Apache-2.0"
] | 285 | 2015-08-15T14:38:38.000Z | 2022-02-18T15:00:06.000Z | ikalog/ui/options.py | fetus-hina/IkaLog | bd476da541fcc296f792d4db76a6b9174c4777ad | [
"Apache-2.0"
] | 323 | 2015-09-24T12:21:34.000Z | 2018-05-06T16:34:54.000Z | ikalog/ui/options.py | fetus-hina/IkaLog | bd476da541fcc296f792d4db76a6b9174c4777ad | [
"Apache-2.0"
] | 72 | 2015-08-22T00:18:54.000Z | 2022-02-18T14:44:20.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# IkaLog
# ======
# Copyright (C) 2015 Takeshi HASEGAWA
#
# 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/l... | 32.508876 | 80 | 0.630142 | 697 | 5,494 | 4.760402 | 0.278336 | 0.03255 | 0.047016 | 0.018083 | 0.157324 | 0.118445 | 0.118445 | 0.066004 | 0.0434 | 0.0434 | 0 | 0.007323 | 0.279214 | 5,494 | 168 | 81 | 32.702381 | 0.830556 | 0.167455 | 0 | 0.083333 | 0 | 0 | 0.014741 | 0.005941 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064815 | false | 0 | 0.074074 | 0 | 0.157407 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b61f77d9db0538ba6a1a1c9673544d53143882 | 584 | py | Python | setup.py | CyberTKR/Simple-LINELIB | 8596afb6b201b13675a0ed6314b3151f6bbf208b | [
"BSD-3-Clause"
] | 4 | 2022-02-20T11:27:29.000Z | 2022-03-05T00:50:05.000Z | setup.py | CyberTKR/Simple-LINELIB | 8596afb6b201b13675a0ed6314b3151f6bbf208b | [
"BSD-3-Clause"
] | null | null | null | setup.py | CyberTKR/Simple-LINELIB | 8596afb6b201b13675a0ed6314b3151f6bbf208b | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup, find_packages
with open("README.md", 'r',encoding="utf-8") as f:
long_description = f.read()
setup(
name='LineBot',
version='0.1.0',
description='Simple-LINELIB',
long_description=long_description,
author='Tolg KR',
author_email='tolgkr@cybertkr.com',
url=... | 25.391304 | 61 | 0.628425 | 68 | 584 | 5.279412 | 0.705882 | 0.125348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01919 | 0.196918 | 584 | 22 | 62 | 26.545455 | 0.746269 | 0 | 0 | 0 | 0 | 0 | 0.294521 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05 | 0 | 0.05 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b64cfd2fd1152628636d4313ba611c18b0ee8d | 4,552 | py | Python | lib/SeparateDriver/CgwshDeviceDriverSetParameterECDB.py | multi-service-fabric/element-manager | e550d1b5ec9419f1fb3eb6e058ce46b57c92ee2f | [
"Apache-2.0"
] | null | null | null | lib/SeparateDriver/CgwshDeviceDriverSetParameterECDB.py | multi-service-fabric/element-manager | e550d1b5ec9419f1fb3eb6e058ce46b57c92ee2f | [
"Apache-2.0"
] | null | null | null | lib/SeparateDriver/CgwshDeviceDriverSetParameterECDB.py | multi-service-fabric/element-manager | e550d1b5ec9419f1fb3eb6e058ce46b57c92ee2f | [
"Apache-2.0"
] | 1 | 2020-04-02T01:17:43.000Z | 2020-04-02T01:17:43.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright(c) 2019 Nippon Telegraph and Telephone Corporation
# Filename: CgwshDeviceDriverSetParameterECDB.py
'''
Parameter module for Cgwsh driver configuration
'''
import GlobalModule
from EmCommonLog import decorater_log
from DriverSetParameterECDB import Dr... | 32.985507 | 79 | 0.530097 | 450 | 4,552 | 5.051111 | 0.228889 | 0.055433 | 0.040035 | 0.039595 | 0.273647 | 0.195337 | 0.133304 | 0.051474 | 0.051474 | 0.051474 | 0 | 0.00173 | 0.364895 | 4,552 | 137 | 80 | 33.226277 | 0.784504 | 0.185413 | 0 | 0.315068 | 0 | 0 | 0.138828 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082192 | false | 0.027397 | 0.041096 | 0 | 0.191781 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b73188b11fd452c2465eac91ddbc3efbb01c8c | 13,767 | py | Python | scripts/common_lib/build_lib.py | Bhaskers-Blu-Org1/wc-devops-utilities | d8131261cb3d67ce872b541c5e2d8ff22fcbf614 | [
"Apache-2.0"
] | 15 | 2018-06-26T19:48:08.000Z | 2021-01-18T13:29:16.000Z | scripts/common_lib/build_lib.py | Bhaskers-Blu-Org1/wc-devops-utilities | d8131261cb3d67ce872b541c5e2d8ff22fcbf614 | [
"Apache-2.0"
] | 16 | 2018-05-29T08:12:38.000Z | 2022-02-15T15:25:14.000Z | scripts/common_lib/build_lib.py | IBM/wc-devops-utilities | d8131261cb3d67ce872b541c5e2d8ff22fcbf614 | [
"Apache-2.0"
] | 21 | 2018-05-29T11:54:05.000Z | 2021-12-20T06:42:54.000Z | #!/usr/bin/env python3.6
import os
import subprocess
import json
import argparse
import zipfile
import shutil
import requests
import datetime
import re
import operator
import unicodedata
# global list of error messages to keep track of all error msgs
errorMessages = []
"""
Collection of Common Functions used by Buil... | 36.81016 | 145 | 0.648217 | 1,591 | 13,767 | 5.547454 | 0.226273 | 0.011897 | 0.01133 | 0.006798 | 0.220032 | 0.143666 | 0.116021 | 0.088149 | 0.081351 | 0.060956 | 0 | 0.001673 | 0.261713 | 13,767 | 373 | 146 | 36.908847 | 0.866686 | 0.39108 | 0 | 0.242775 | 0 | 0 | 0.09839 | 0.017772 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086705 | false | 0 | 0.063584 | 0 | 0.225434 | 0.023121 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b7df8dc09a874c18b0de4987e789a5a8c1dfcd | 10,035 | py | Python | src/static_grasp_kt.py | ivalab/GraspKpNet | d4b6186d74ac82a745d778892742d52a204bd1cf | [
"MIT"
] | 16 | 2021-05-04T23:08:47.000Z | 2022-01-19T08:33:14.000Z | src/static_grasp_kt.py | ivalab/GraspKpNet | d4b6186d74ac82a745d778892742d52a204bd1cf | [
"MIT"
] | 2 | 2021-06-22T22:54:44.000Z | 2021-10-04T19:23:35.000Z | src/static_grasp_kt.py | ivalab/GraspKpNet | d4b6186d74ac82a745d778892742d52a204bd1cf | [
"MIT"
] | 2 | 2021-07-10T12:51:29.000Z | 2022-02-17T06:45:54.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import _init_paths
import os
import json
import cv2
import cv2.aruco as aruco
import numpy as np
import sys
import rospy
from std_msgs.msg import Bool
from std_msgs.msg import Float64MultiArray
from sensor_ms... | 34.249147 | 107 | 0.623019 | 1,558 | 10,035 | 3.801027 | 0.22914 | 0.010132 | 0.006079 | 0.006079 | 0.174941 | 0.125971 | 0.114488 | 0.050321 | 0.018575 | 0.018575 | 0 | 0.066293 | 0.252915 | 10,035 | 293 | 108 | 34.249147 | 0.723623 | 0.163528 | 0 | 0.059459 | 0 | 0 | 0.017741 | 0.009776 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037838 | false | 0 | 0.124324 | 0 | 0.210811 | 0.016216 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b8dc2efbc6e5399774e3bdb1583b1ec3d22dca | 13,278 | py | Python | source/utils/augmentations.py | dovietchinh/multi-task-classification | 23a70300a7a800bc982f87902b6aa1faaf91b489 | [
"RSA-MD"
] | null | null | null | source/utils/augmentations.py | dovietchinh/multi-task-classification | 23a70300a7a800bc982f87902b6aa1faaf91b489 | [
"RSA-MD"
] | null | null | null | source/utils/augmentations.py | dovietchinh/multi-task-classification | 23a70300a7a800bc982f87902b6aa1faaf91b489 | [
"RSA-MD"
] | null | null | null | import numpy as np
import cv2
import random
def preprocess(img,img_size,padding=True):
"""[summary]
Args:
img (np.ndarray): images
img_size (int,list,tuple): target size. eg: 224 , (224,224) or [224,224]
padding (bool): padding img before resize. Prevent from image distortion. Default... | 42.694534 | 131 | 0.581865 | 1,689 | 13,278 | 4.407934 | 0.141504 | 0.07683 | 0.081666 | 0.045937 | 0.391135 | 0.324513 | 0.292814 | 0.292814 | 0.289993 | 0.285158 | 0 | 0.043883 | 0.279184 | 13,278 | 311 | 132 | 42.694534 | 0.733988 | 0.076141 | 0 | 0.348361 | 0 | 0 | 0.082111 | 0.002622 | 0 | 0 | 0 | 0 | 0 | 1 | 0.094262 | false | 0 | 0.016393 | 0.004098 | 0.204918 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13b9d127851e263bb83cf946e93cc967e190ce5a | 453 | py | Python | CalculatingPi/pi_linear_plot.py | davidmallasen/Hello_MPI | 8a5b5694ffc1515d2bb2dee45355f92f1b68fbed | [
"MIT"
] | null | null | null | CalculatingPi/pi_linear_plot.py | davidmallasen/Hello_MPI | 8a5b5694ffc1515d2bb2dee45355f92f1b68fbed | [
"MIT"
] | null | null | null | CalculatingPi/pi_linear_plot.py | davidmallasen/Hello_MPI | 8a5b5694ffc1515d2bb2dee45355f92f1b68fbed | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
# Read data
size = []
time = []
with open("pi_linear.txt") as file:
for line in file.readlines():
x, y = line.split(',')
size.append(int(x.strip()))
time.append(float(y.strip()))
# Plot data
fig, ax = plt.subplots()
ax.plot(size, tim... | 19.695652 | 50 | 0.611479 | 69 | 453 | 3.985507 | 0.623188 | 0.087273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.207506 | 453 | 22 | 51 | 20.590909 | 0.766017 | 0.06181 | 0 | 0 | 0 | 0 | 0.137767 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13bd80e7104701ce224a3004f95e9aa8f8c681e9 | 2,293 | py | Python | myapp/processes/plotter.py | cp4cds/cp4cds-wps-template | ed170fcee72146dc07c64f76ec71cc289672fd32 | [
"Apache-2.0"
] | null | null | null | myapp/processes/plotter.py | cp4cds/cp4cds-wps-template | ed170fcee72146dc07c64f76ec71cc289672fd32 | [
"Apache-2.0"
] | null | null | null | myapp/processes/plotter.py | cp4cds/cp4cds-wps-template | ed170fcee72146dc07c64f76ec71cc289672fd32 | [
"Apache-2.0"
] | null | null | null |
from pywps import Process, LiteralInput, ComplexInput, ComplexOutput
from pywps import Format
import logging
LOGGER = logging.getLogger('PYWPS')
import matplotlib
# no X11 server ... must be run first
# https://github.com/matplotlib/matplotlib/issues/3466/
matplotlib.use('Agg')
import matplotlib.pylab as plt
import... | 32.295775 | 115 | 0.613171 | 250 | 2,293 | 5.524 | 0.508 | 0.050688 | 0.021723 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011905 | 0.267335 | 2,293 | 70 | 116 | 32.757143 | 0.810119 | 0.038814 | 0 | 0 | 0 | 0.017544 | 0.175909 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.122807 | 0 | 0.22807 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13beebf4acd9b21bb28b852b68ff91457137cd72 | 9,767 | py | Python | backend/social_quiz.py | jmigual/socialQuiz | 3d9d0980961619b555732899121d8ce6366fa96f | [
"MIT"
] | null | null | null | backend/social_quiz.py | jmigual/socialQuiz | 3d9d0980961619b555732899121d8ce6366fa96f | [
"MIT"
] | null | null | null | backend/social_quiz.py | jmigual/socialQuiz | 3d9d0980961619b555732899121d8ce6366fa96f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import json
import os.path
import random
import re
from flask import Flask, send_from_directory
from flask import request, abort
from flaskrun.flaskrun import flask_run
import datab.social_database as db
app = Flask(__name__)
# Regular expression to only accept certain files
fileChecker = r... | 33.221088 | 115 | 0.61288 | 1,377 | 9,767 | 4.109659 | 0.130719 | 0.04241 | 0.053013 | 0.033928 | 0.449549 | 0.35766 | 0.291571 | 0.241739 | 0.186605 | 0.176003 | 0 | 0.008184 | 0.249411 | 9,767 | 293 | 116 | 33.334471 | 0.763743 | 0.031535 | 0 | 0.228972 | 0 | 0.004673 | 0.233887 | 0.006667 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084112 | false | 0 | 0.037383 | 0.009346 | 0.228972 | 0.018692 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13bef8558df71652db939d620d20eb4457b48c53 | 10,282 | py | Python | astacus/node/snapshotter.py | aiven/astacus | 2d64e1f33e01d50a41127f41d9da3d1ab0ce0387 | [
"Apache-2.0"
] | 19 | 2020-06-22T12:17:59.000Z | 2022-02-18T00:12:17.000Z | astacus/node/snapshotter.py | aiven/astacus | 2d64e1f33e01d50a41127f41d9da3d1ab0ce0387 | [
"Apache-2.0"
] | 7 | 2020-06-24T05:16:20.000Z | 2022-02-28T07:35:31.000Z | astacus/node/snapshotter.py | aiven/astacus | 2d64e1f33e01d50a41127f41d9da3d1ab0ce0387 | [
"Apache-2.0"
] | 2 | 2020-09-05T21:23:08.000Z | 2022-02-17T15:02:37.000Z | """
Copyright (c) 2020 Aiven Ltd
See LICENSE for details
"""
from astacus.common import magic, utils
from astacus.common.ipc import SnapshotFile, SnapshotHash, SnapshotState
from astacus.common.progress import increase_worth_reporting, Progress
from pathlib import Path
from typing import Optional
import base64
impo... | 41.128 | 122 | 0.642774 | 1,236 | 10,282 | 5.134304 | 0.243528 | 0.054838 | 0.022691 | 0.022691 | 0.228175 | 0.19272 | 0.150173 | 0.12953 | 0.081311 | 0.03057 | 0 | 0.006134 | 0.28652 | 10,282 | 249 | 123 | 41.293173 | 0.858915 | 0.181288 | 0 | 0.25731 | 0 | 0 | 0.025354 | 0 | 0 | 0 | 0 | 0 | 0.02924 | 1 | 0.093567 | false | 0 | 0.05848 | 0 | 0.22807 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13c016b99333655007d9a8cc82e9391a0d3526d8 | 6,671 | py | Python | colcon_gradle/task/gradle/build.py | richiware/colcon-gradle | 00b121def8c15abd1dca310d0ea4e1f34f98f4d1 | [
"Apache-2.0"
] | null | null | null | colcon_gradle/task/gradle/build.py | richiware/colcon-gradle | 00b121def8c15abd1dca310d0ea4e1f34f98f4d1 | [
"Apache-2.0"
] | null | null | null | colcon_gradle/task/gradle/build.py | richiware/colcon-gradle | 00b121def8c15abd1dca310d0ea4e1f34f98f4d1 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Esteve Fernandez
# Licensed under the Apache License, Version 2.0
from distutils import dir_util
import glob
import os
from pathlib import Path
import shutil
from colcon_core.environment import create_environment_scripts
from colcon_core.logging import colcon_logger
from colcon_core.plugin_system imp... | 37.268156 | 95 | 0.644431 | 822 | 6,671 | 4.984185 | 0.244526 | 0.027825 | 0.034171 | 0.023432 | 0.388089 | 0.299243 | 0.269465 | 0.211862 | 0.188919 | 0.188919 | 0 | 0.005739 | 0.268625 | 6,671 | 178 | 96 | 37.477528 | 0.833982 | 0.098486 | 0 | 0.186047 | 0 | 0 | 0.076936 | 0.003505 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0.007752 | 0.116279 | 0 | 0.186047 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13c18896742aca9b72a3db6ff3b991575fad3170 | 5,092 | py | Python | model_compression_toolkit/keras/quantizer/gradient_ptq/utils.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | model_compression_toolkit/keras/quantizer/gradient_ptq/utils.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | model_compression_toolkit/keras/quantizer/gradient_ptq/utils.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Sony Semiconductors Israel, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 34.876712 | 125 | 0.626866 | 706 | 5,092 | 4.36119 | 0.23796 | 0.049367 | 0.045469 | 0.041572 | 0.460864 | 0.405002 | 0.326405 | 0.298474 | 0.298474 | 0.286457 | 0 | 0.008041 | 0.267282 | 5,092 | 145 | 126 | 35.117241 | 0.817207 | 0.430676 | 0 | 0.404255 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.191489 | false | 0 | 0.042553 | 0 | 0.425532 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13c2b5d7ceaee0819464ed2dba5f6801b590f3e0 | 9,421 | py | Python | pygments/lexers/tnt.py | btashton/pygments | ceaad0372055ed0064121020fea032fdda429779 | [
"BSD-2-Clause"
] | 1 | 2020-05-04T00:34:41.000Z | 2020-05-04T00:34:41.000Z | pygments/lexers/tnt.py | btashton/pygments | ceaad0372055ed0064121020fea032fdda429779 | [
"BSD-2-Clause"
] | 1 | 2019-03-08T20:01:19.000Z | 2019-03-08T20:01:19.000Z | pygments/lexers/tnt.py | btashton/pygments | ceaad0372055ed0064121020fea032fdda429779 | [
"BSD-2-Clause"
] | 1 | 2019-03-08T19:44:02.000Z | 2019-03-08T19:44:02.000Z | # -*- coding: utf-8 -*-
"""
pygments.lexers.tnt
~~~~~~~~~~~~~~~~~~~
Lexer for Typographic Number Theory.
:copyright: Copyright 2019-2020 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
from pygments.lexer import Lexer
from pygments.token import Text, Commen... | 37.987903 | 85 | 0.519478 | 1,070 | 9,421 | 4.558879 | 0.194393 | 0.077491 | 0.071956 | 0.084871 | 0.523575 | 0.415334 | 0.365724 | 0.324313 | 0.241287 | 0.210742 | 0 | 0.011373 | 0.346672 | 9,421 | 247 | 86 | 38.1417 | 0.779854 | 0.128224 | 0 | 0.433673 | 0 | 0 | 0.066263 | 0 | 0 | 0 | 0 | 0 | 0.086735 | 1 | 0.040816 | false | 0 | 0.015306 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13c2bfaf0d362a6c304791ee3c1accf9f548727b | 1,233 | py | Python | contacts/urls.py | cheradenine/Django-CRM | 692572ced050d314c1f880af8b4000c97cbf7440 | [
"MIT"
] | 2 | 2019-08-30T14:42:45.000Z | 2019-09-01T01:49:38.000Z | contacts/urls.py | cheradenine/Django-CRM | 692572ced050d314c1f880af8b4000c97cbf7440 | [
"MIT"
] | 8 | 2020-06-05T20:58:52.000Z | 2022-03-11T23:48:48.000Z | contacts/urls.py | gthreepwood/Django-CRM | 12de7e6c622d9d7483c210212c8b7fe3dbde2739 | [
"MIT"
] | 1 | 2019-05-31T16:06:24.000Z | 2019-05-31T16:06:24.000Z | from django.urls import path
from contacts.views import (
ContactsListView, CreateContactView, ContactDetailView,
UpdateContactView, RemoveContactView,
GetContactsView, AddCommentView, UpdateCommentView,
DeleteCommentView, AddAttachmentsView, DeleteAttachmentsView)
app_name = 'contacts'
urlpatterns =... | 36.264706 | 77 | 0.691809 | 123 | 1,233 | 6.756098 | 0.284553 | 0.079422 | 0.132371 | 0.046931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.152474 | 1,233 | 33 | 78 | 37.363636 | 0.795215 | 0 | 0 | 0 | 0 | 0 | 0.226277 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.074074 | 0 | 0.074074 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13c55ddf22e3a453950de6b6142214790512cd06 | 4,269 | py | Python | LIM_scripts/func_curry.py | Bhare8972/LOFAR-LIM | 89f25be8c02cb8980c2e237da3eaac279d40a06a | [
"MIT"
] | 3 | 2019-04-21T13:13:02.000Z | 2020-10-15T12:44:23.000Z | LIM_scripts/func_curry.py | Bhare8972/LOFAR-LIM | 89f25be8c02cb8980c2e237da3eaac279d40a06a | [
"MIT"
] | null | null | null | LIM_scripts/func_curry.py | Bhare8972/LOFAR-LIM | 89f25be8c02cb8980c2e237da3eaac279d40a06a | [
"MIT"
] | 2 | 2018-11-06T18:34:33.000Z | 2019-04-04T14:16:57.000Z | #!/usr/bin/env python3
# Coded by Massimiliano Tomassoli, 2012.
#
# - Thanks to b49P23TIvg for suggesting that I should use a set operation
# instead of repeated membership tests.
# - Thanks to Ian Kelly for pointing out that
# - "minArgs = None" is better than "minArgs = -1",
# - "if args" is better than ... | 38.809091 | 84 | 0.444601 | 517 | 4,269 | 3.655706 | 0.31528 | 0.007407 | 0.009524 | 0.026455 | 0.166138 | 0.141799 | 0.115344 | 0.092593 | 0.062963 | 0.043386 | 0 | 0.056203 | 0.437339 | 4,269 | 110 | 85 | 38.809091 | 0.730641 | 0.369876 | 0 | 0.12069 | 0 | 0 | 0.033397 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.155172 | false | 0 | 0 | 0.034483 | 0.275862 | 0.189655 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13c625629058a335547038a4cdc3550a5d9f78a2 | 3,572 | py | Python | Prediction.py | khayam-hafezi/CRNN-keras-persian | 3f99838e5b3b0e0ca79899e25b0648940b7fdfac | [
"MIT"
] | null | null | null | Prediction.py | khayam-hafezi/CRNN-keras-persian | 3f99838e5b3b0e0ca79899e25b0648940b7fdfac | [
"MIT"
] | null | null | null | Prediction.py | khayam-hafezi/CRNN-keras-persian | 3f99838e5b3b0e0ca79899e25b0648940b7fdfac | [
"MIT"
] | null | null | null | import cv2
import itertools, os, time
import numpy as np
from Model import get_Model
from parameter import letters
import argparse
from keras import backend as K
K.set_learning_phase(0)
Region = {"A": "서울 ", "B": "경기 ", "C": "인천 ", "D": "강원 ", "E": "충남 ", "F": "대전 ",
"G": "충북 ", "H": "부산 ", "I": "울산 ", "J": ... | 32.472727 | 129 | 0.555151 | 550 | 3,572 | 3.463636 | 0.436364 | 0.047769 | 0.020997 | 0.023622 | 0.102887 | 0.075591 | 0.056693 | 0.056693 | 0 | 0 | 0 | 0.033309 | 0.235162 | 3,572 | 109 | 130 | 32.770642 | 0.663982 | 0.119821 | 0 | 0.096386 | 0 | 0 | 0.124241 | 0.007665 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024096 | false | 0.024096 | 0.084337 | 0 | 0.13253 | 0.060241 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13c705bea50bc8d33e8f2c2e57d0e51683dbf67b | 8,038 | py | Python | torcharrow/_interop.py | OswinC/torcharrow | 45a57c45afeffee488c51e3387179292b3504a6c | [
"BSD-3-Clause"
] | null | null | null | torcharrow/_interop.py | OswinC/torcharrow | 45a57c45afeffee488c51e3387179292b3504a6c | [
"BSD-3-Clause"
] | null | null | null | torcharrow/_interop.py | OswinC/torcharrow | 45a57c45afeffee488c51e3387179292b3504a6c | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List, Optional, cast
# Skipping analyzing 'numpy': found module but no type hints or library stubs
import numpy as np # type: ignore
import numpy.ma as ma # type: ignore
# Skipping analyzing 'pandas': found module but no type hints or library stu... | 31.155039 | 99 | 0.61682 | 1,115 | 8,038 | 4.336323 | 0.162332 | 0.009928 | 0.022337 | 0.027301 | 0.508583 | 0.396898 | 0.312099 | 0.273216 | 0.264736 | 0.255429 | 0 | 0.010431 | 0.272456 | 8,038 | 257 | 100 | 31.276265 | 0.816347 | 0.24098 | 0 | 0.363636 | 0 | 0 | 0.029337 | 0 | 0 | 0 | 0 | 0.003891 | 0.064935 | 1 | 0.071429 | false | 0 | 0.045455 | 0.012987 | 0.292208 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13c7d55115d132308c18e527238726863764f8de | 3,883 | py | Python | research/gan/image_compression/eval.py | jdavidagudelo/tensorflow-models | 6f019beec73b01861363bf717706e27f4210b979 | [
"Apache-2.0"
] | 1 | 2021-05-17T01:42:29.000Z | 2021-05-17T01:42:29.000Z | research/gan/image_compression/eval.py | jdavidagudelo/tensorflow-models | 6f019beec73b01861363bf717706e27f4210b979 | [
"Apache-2.0"
] | null | null | null | research/gan/image_compression/eval.py | jdavidagudelo/tensorflow-models | 6f019beec73b01861363bf717706e27f4210b979 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 38.83 | 80 | 0.702807 | 509 | 3,883 | 5.121807 | 0.373281 | 0.037975 | 0.034522 | 0.023015 | 0.135788 | 0.11239 | 0 | 0 | 0 | 0 | 0 | 0.010473 | 0.188514 | 3,883 | 99 | 81 | 39.222222 | 0.816884 | 0.235385 | 0 | 0 | 0 | 0 | 0.196671 | 0.008492 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017241 | false | 0 | 0.137931 | 0 | 0.155172 | 0.017241 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13ca0867e3b5094c9f6e2eb05d9af7e3c93bd96a | 16,159 | py | Python | kivy/loader.py | geojeff/kivy | 25ab20e5b0e87269531abe1f8cc76bf270bcc755 | [
"MIT"
] | 1 | 2017-11-15T08:59:23.000Z | 2017-11-15T08:59:23.000Z | kivy/loader.py | 5y/kivy | 6bee66946f5434ca92921a8bc9559d82ec955896 | [
"MIT"
] | null | null | null | kivy/loader.py | 5y/kivy | 6bee66946f5434ca92921a8bc9559d82ec955896 | [
"MIT"
] | 3 | 2015-07-18T11:03:59.000Z | 2018-03-17T01:32:42.000Z | '''
Asynchronous data loader
========================
This is the Asynchronous Loader. You can use it to load an image
and use it, even if data are not yet available. You must specify a default
loading image for using a such loader::
from kivy import *
image = Loader.image('mysprite.png')
You can also load i... | 31.684314 | 80 | 0.590692 | 1,972 | 16,159 | 4.659736 | 0.20284 | 0.027424 | 0.019806 | 0.0222 | 0.140929 | 0.085972 | 0.041136 | 0.018718 | 0.008924 | 0 | 0 | 0.005843 | 0.322173 | 16,159 | 509 | 81 | 31.746562 | 0.833105 | 0.219444 | 0 | 0.242537 | 0 | 0 | 0.046848 | 0.004407 | 0 | 0 | 0 | 0.001965 | 0 | 1 | 0.119403 | false | 0.018657 | 0.067164 | 0.007463 | 0.276119 | 0.003731 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13caf57909dc254d637b57702b6b442c435e3b48 | 2,327 | py | Python | buildsettings.py | randomizax/polygon-label | 5091bd54aee5166d418b240f34d7a5c336685c06 | [
"MIT"
] | null | null | null | buildsettings.py | randomizax/polygon-label | 5091bd54aee5166d418b240f34d7a5c336685c06 | [
"MIT"
] | null | null | null | buildsettings.py | randomizax/polygon-label | 5091bd54aee5166d418b240f34d7a5c336685c06 | [
"MIT"
] | null | null | null | # settings file for builds.
# if you want to have custom builds, copy this file to "localbuildsettings.py" and make changes there.
# possible fields:
# resourceBaseUrl - optional - the URL base for external resources (all resources embedded in standard IITC)
# distUrlBase - optional - the base URL to use for update c... | 42.309091 | 151 | 0.701762 | 323 | 2,327 | 5.055728 | 0.486068 | 0.007348 | 0.007348 | 0.013472 | 0.051439 | 0.051439 | 0.051439 | 0 | 0 | 0 | 0 | 0.013065 | 0.210572 | 2,327 | 54 | 152 | 43.092593 | 0.875885 | 0.784272 | 0 | 0.266667 | 0 | 0 | 0.389474 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13cc4a79cdbfb09ff64440ffca1bacc5cc651798 | 4,192 | py | Python | thesis/pettingzoo/butterfly/cooperative_pong/cake_paddle.py | heavenlysf/thesis | 646553c45860f337c91a48ab7f666a174784472f | [
"MIT"
] | null | null | null | thesis/pettingzoo/butterfly/cooperative_pong/cake_paddle.py | heavenlysf/thesis | 646553c45860f337c91a48ab7f666a174784472f | [
"MIT"
] | null | null | null | thesis/pettingzoo/butterfly/cooperative_pong/cake_paddle.py | heavenlysf/thesis | 646553c45860f337c91a48ab7f666a174784472f | [
"MIT"
] | null | null | null | import os
os.environ["PYGAME_HIDE_SUPPORT_PROMPT"] = "hide"
import pygame
RENDER_RATIO = 2
class CakePaddle(pygame.sprite.Sprite):
def __init__(self, speed=12):
# surf is the right-most (largest) tier of the cake
self.surf = pygame.Surface((30 // RENDER_RATIO, 120 // RENDER_RATIO))
self.... | 34.644628 | 77 | 0.530057 | 550 | 4,192 | 3.881818 | 0.167273 | 0.08993 | 0.052459 | 0.029977 | 0.499297 | 0.450585 | 0.427166 | 0.427166 | 0.36534 | 0.36534 | 0 | 0.051666 | 0.362834 | 4,192 | 120 | 78 | 34.933333 | 0.74766 | 0.103053 | 0 | 0.372093 | 0 | 0 | 0.008226 | 0.007129 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05814 | false | 0 | 0.023256 | 0 | 0.151163 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13cd2bb4addf837c7a09ba721bc230b691ca3e1b | 2,080 | py | Python | src/internal_representation_analysis/decoder/StateDataset.py | aidkilda/understanding-drl-navigation | 0d637c2390a935ec1182d4f2d5165644d98d6404 | [
"MIT"
] | null | null | null | src/internal_representation_analysis/decoder/StateDataset.py | aidkilda/understanding-drl-navigation | 0d637c2390a935ec1182d4f2d5165644d98d6404 | [
"MIT"
] | null | null | null | src/internal_representation_analysis/decoder/StateDataset.py | aidkilda/understanding-drl-navigation | 0d637c2390a935ec1182d4f2d5165644d98d6404 | [
"MIT"
] | null | null | null | import random
from internal_representation_analysis.network import ActorCriticFFNetwork
from internal_representation_analysis.scene_loader import THORDiscreteEnvironment as Environment
from internal_representation_analysis.constants import MINI_BATCH_SIZE
class StateDataset(object):
def __init__(self, states):
... | 38.518519 | 96 | 0.669712 | 307 | 2,080 | 4.214984 | 0.218241 | 0.139104 | 0.097372 | 0.034776 | 0.316074 | 0.230294 | 0.210974 | 0.167697 | 0.127512 | 0.127512 | 0 | 0.0114 | 0.240865 | 2,080 | 53 | 97 | 39.245283 | 0.808106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.1 | 0.05 | 0.325 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13cd2ed4d981d4b892a318dfe3960eb2c118e4ce | 3,147 | py | Python | test_dataset_model.py | ferrine/PerceptualSimilarity | 2ff66e86b12dbfbc337991def71b09e3b86d4b12 | [
"BSD-2-Clause"
] | null | null | null | test_dataset_model.py | ferrine/PerceptualSimilarity | 2ff66e86b12dbfbc337991def71b09e3b86d4b12 | [
"BSD-2-Clause"
] | null | null | null | test_dataset_model.py | ferrine/PerceptualSimilarity | 2ff66e86b12dbfbc337991def71b09e3b86d4b12 | [
"BSD-2-Clause"
] | null | null | null | import numpy as np
from models import dist_model as dm
from data import data_loader as dl
import argparse
from IPython import embed
parser = argparse.ArgumentParser()
parser.add_argument("--dataset_mode", type=str, default="2afc", help="[2afc,jnd]")
parser.add_argument(
"--datasets",
type=str,
nargs="+",
... | 30.553398 | 218 | 0.67048 | 439 | 3,147 | 4.687927 | 0.28246 | 0.048105 | 0.090865 | 0.029155 | 0.237123 | 0.122449 | 0.122449 | 0.122449 | 0.093294 | 0.093294 | 0 | 0.008846 | 0.173816 | 3,147 | 102 | 219 | 30.852941 | 0.782692 | 0.064188 | 0 | 0.170455 | 0 | 0.022727 | 0.36079 | 0.065351 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.056818 | 0 | 0.056818 | 0.034091 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13cde4f4ec9916ff8a799bc071fde32fd8bf29b3 | 2,461 | py | Python | plotter.py | StrangeTcy/pathnet-pytorch | 58c8088b992ad2f36b843186d93edc872d547c7b | [
"BSD-3-Clause"
] | 86 | 2017-04-05T13:03:13.000Z | 2022-03-28T12:38:48.000Z | plotter.py | StrangeTcy/pathnet-pytorch | 58c8088b992ad2f36b843186d93edc872d547c7b | [
"BSD-3-Clause"
] | 7 | 2017-04-30T20:59:46.000Z | 2019-02-09T10:56:40.000Z | plotter.py | StrangeTcy/pathnet-pytorch | 58c8088b992ad2f36b843186d93edc872d547c7b | [
"BSD-3-Clause"
] | 21 | 2017-04-05T23:42:39.000Z | 2021-11-17T21:17:22.000Z | import argparse
import os
import pickle
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('ggplot')
parser = argparse.ArgumentParser(description='PyTorch MNIST Example')
parser.add_argument('--mnist', action='store_true', default=False,
help='open mnist result')
args = parser.parse_a... | 28.952941 | 95 | 0.603007 | 356 | 2,461 | 4 | 0.323034 | 0.029494 | 0.023174 | 0.031601 | 0.205056 | 0.078652 | 0.078652 | 0 | 0 | 0 | 0 | 0.035928 | 0.253555 | 2,461 | 84 | 96 | 29.297619 | 0.739249 | 0 | 0 | 0.220588 | 0 | 0 | 0.101178 | 0.024787 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014706 | false | 0 | 0.073529 | 0 | 0.088235 | 0.014706 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13ce147cc376d9100195efcbf75606622c35be95 | 2,805 | py | Python | platypus/tests/test_operators.py | sctiwari/EZFF_ASE | 94710d4cf778ff2db5e6df0cd6d10d92e1b98afe | [
"MIT"
] | 2 | 2021-05-10T16:28:50.000Z | 2021-12-15T04:03:34.000Z | platypus/tests/test_operators.py | sctiwari/EZFF_ASE | 94710d4cf778ff2db5e6df0cd6d10d92e1b98afe | [
"MIT"
] | null | null | null | platypus/tests/test_operators.py | sctiwari/EZFF_ASE | 94710d4cf778ff2db5e6df0cd6d10d92e1b98afe | [
"MIT"
] | null | null | null | # Copyright 2015-2018 David Hadka
#
# This file is part of Platypus, a Python module for designing and using
# evolutionary algorithms (EAs) and multiobjective evolutionary algorithms
# (MOEAs).
#
# Platypus is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License a... | 35.961538 | 74 | 0.636364 | 362 | 2,805 | 4.90884 | 0.325967 | 0.073157 | 0.082724 | 0.118177 | 0.58188 | 0.549803 | 0.460889 | 0.44063 | 0.384356 | 0.384356 | 0 | 0.039962 | 0.250624 | 2,805 | 78 | 75 | 35.961538 | 0.805423 | 0.278788 | 0 | 0.465116 | 0 | 0 | 0.03192 | 0 | 0 | 0 | 0 | 0 | 0.209302 | 1 | 0.093023 | false | 0 | 0.116279 | 0 | 0.232558 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13cea3eb1b8257abf1a1958d34086a311a9082d4 | 6,241 | py | Python | fusion_net/bilinear_sampler.py | ClovisChen/LearningCNN | cd9102a3d71f602024558d818039f5b759c92fa5 | [
"Apache-2.0"
] | null | null | null | fusion_net/bilinear_sampler.py | ClovisChen/LearningCNN | cd9102a3d71f602024558d818039f5b759c92fa5 | [
"Apache-2.0"
] | null | null | null | fusion_net/bilinear_sampler.py | ClovisChen/LearningCNN | cd9102a3d71f602024558d818039f5b759c92fa5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-are not covered by the UCLB ACP-A Licence,
from __future__ import absolute_import, division, print_function
import tensorflow as tf
def bilinear_sampler_1d_h(input_images, x_offset, wrap_mode='border', name='bilinear_sampler', **kwargs):
'''
一维双线性采样: x_offset--输入X上... | 41.331126 | 155 | 0.497196 | 890 | 6,241 | 3.250562 | 0.198876 | 0.027653 | 0.034221 | 0.035949 | 0.298652 | 0.256481 | 0.192879 | 0.17214 | 0.155202 | 0.140339 | 0 | 0.074531 | 0.324948 | 6,241 | 150 | 156 | 41.606667 | 0.612153 | 0.387438 | 0 | 0.063492 | 0 | 0 | 0.019802 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063492 | false | 0 | 0.031746 | 0 | 0.174603 | 0.015873 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13cebdf8d097569317951da787d81aebd898d39b | 7,125 | py | Python | Supernovae.py | adamamiller/iptf16hvw-1 | d674114e94b5b20398d2e4208b55eb8e2394dce9 | [
"MIT"
] | null | null | null | Supernovae.py | adamamiller/iptf16hvw-1 | d674114e94b5b20398d2e4208b55eb8e2394dce9 | [
"MIT"
] | null | null | null | Supernovae.py | adamamiller/iptf16hvw-1 | d674114e94b5b20398d2e4208b55eb8e2394dce9 | [
"MIT"
] | 1 | 2018-08-21T15:17:48.000Z | 2018-08-21T15:17:48.000Z | #import relevant libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from astropy.io import ascii
import json
from IPython.display import display, Image
from specutils import Spectrum1D
from astropy import units
from scipy.optimize import curve_fit
from scipy.interpolate import interp1d
imp... | 28.27381 | 108 | 0.629474 | 890 | 7,125 | 4.958427 | 0.22809 | 0.027419 | 0.021754 | 0.007478 | 0.065715 | 0.046 | 0.026966 | 0.026966 | 0.019941 | 0.019941 | 0 | 0.007921 | 0.291228 | 7,125 | 251 | 109 | 28.386454 | 0.865941 | 0.386667 | 0 | 0.090909 | 0 | 0 | 0.022652 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0.011364 | 0.147727 | 0 | 0.386364 | 0.022727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13d20c58618bae1fd9184241e64ff9b913dd727d | 9,313 | py | Python | connector/ADBConnector.py | qiutongxue/ArknightsAutoHelper | 6b97b289e9ea4e5e3f39561ef8c2217657f6ff60 | [
"MIT"
] | 1 | 2020-12-16T06:19:02.000Z | 2020-12-16T06:19:02.000Z | connector/ADBConnector.py | qiutongxue/ArknightsAutoHelper | 6b97b289e9ea4e5e3f39561ef8c2217657f6ff60 | [
"MIT"
] | null | null | null | connector/ADBConnector.py | qiutongxue/ArknightsAutoHelper | 6b97b289e9ea4e5e3f39561ef8c2217657f6ff60 | [
"MIT"
] | null | null | null | import os
import logging.config
from random import randint
import zlib
import struct
import socket
import time
from PIL import Image
import config
# from config import ADB_ROOT, ADB_HOST, SCREEN_SHOOT_SAVE_PATH, ShellColor, CONFIG_PATH,enable_adb_host_auto_detect, ADB_SERVER
from .ADBClientSession import ADBClientSes... | 36.521569 | 163 | 0.57962 | 1,101 | 9,313 | 4.722979 | 0.228883 | 0.040385 | 0.034615 | 0.041538 | 0.200192 | 0.125192 | 0.120385 | 0.096538 | 0.062308 | 0.062308 | 0 | 0.017618 | 0.311285 | 9,313 | 254 | 164 | 36.665354 | 0.793109 | 0.040696 | 0 | 0.186603 | 0 | 0 | 0.080036 | 0.012028 | 0 | 0 | 0 | 0 | 0.009569 | 1 | 0.08134 | false | 0.014354 | 0.062201 | 0.004785 | 0.253589 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13d2e35293cf4b36df0d8aa584ec383e80a8a174 | 263 | py | Python | main.py | Gloriel621/MgallManager | 7d5c02ab6bdc2f6c6922d4a7e021faef33d868bb | [
"MIT"
] | 9 | 2021-12-22T11:37:23.000Z | 2022-03-09T02:25:35.000Z | main.py | Gloriel621/MgallManager | 7d5c02ab6bdc2f6c6922d4a7e021faef33d868bb | [
"MIT"
] | 4 | 2021-12-16T14:26:01.000Z | 2022-02-16T02:05:41.000Z | main.py | Gloriel621/MgallManager | 7d5c02ab6bdc2f6c6922d4a7e021faef33d868bb | [
"MIT"
] | 1 | 2021-12-22T12:59:57.000Z | 2021-12-22T12:59:57.000Z | import sys
from PyQt5.QtWidgets import QApplication
from gui import MgallManager
def main():
app = QApplication(sys.argv)
ex = MgallManager()
app.aboutToQuit.connect(ex.ExitHandler)
sys.exit(app.exec_())
if __name__ == "__main__":
main()
| 16.4375 | 43 | 0.69962 | 32 | 263 | 5.46875 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004695 | 0.190114 | 263 | 15 | 44 | 17.533333 | 0.816901 | 0 | 0 | 0 | 0 | 0 | 0.030418 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.3 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
13d3859368c4908cf2a507d1bd62d989795acc1a | 54,009 | py | Python | pysc2/lib/actions.py | javierrcc522/starcraft2_api_machineLear | 5833ba1344ab5445c4f09fafc33e6058070ebe6c | [
"Apache-2.0"
] | 2 | 2020-04-30T09:07:25.000Z | 2021-03-21T22:58:22.000Z | pysc2/lib/actions.py | javierrcc522/starcraft2_api_machineLear | 5833ba1344ab5445c4f09fafc33e6058070ebe6c | [
"Apache-2.0"
] | null | null | null | pysc2/lib/actions.py | javierrcc522/starcraft2_api_machineLear | 5833ba1344ab5445c4f09fafc33e6058070ebe6c | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 57.825482 | 100 | 0.750745 | 6,942 | 54,009 | 5.553011 | 0.229473 | 0.199227 | 0.108589 | 0.003736 | 0.043296 | 0.029573 | 0.01681 | 0.012971 | 0.011103 | 0.007627 | 0 | 0.090114 | 0.1317 | 54,009 | 933 | 101 | 57.88746 | 0.731896 | 0.09317 | 0 | 0.03794 | 0 | 0 | 0.283394 | 0.226535 | 0 | 0 | 0 | 0 | 0.001355 | 1 | 0.04607 | false | 0.001355 | 0.012195 | 0.00813 | 0.097561 | 0.001355 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13d4be5ff6607a768ff6f008bc6f55355c95eab1 | 3,209 | py | Python | pywick/meters/aucmeter.py | ashishpatel26/pywick | 1afffd1c21c2b188836d3599e802146182757bb5 | [
"MIT"
] | 2 | 2020-11-28T07:56:09.000Z | 2021-11-08T09:30:39.000Z | pywick/meters/aucmeter.py | ashishpatel26/pywick | 1afffd1c21c2b188836d3599e802146182757bb5 | [
"MIT"
] | null | null | null | pywick/meters/aucmeter.py | ashishpatel26/pywick | 1afffd1c21c2b188836d3599e802146182757bb5 | [
"MIT"
] | null | null | null | import numbers
from . import meter
import numpy as np
import torch
class AUCMeter(meter.Meter):
"""
The AUCMeter measures the area under the receiver-operating characteristic
(ROC) curve for binary classification problems. The area under the curve (AUC)
can be interpreted as the probability that, give... | 38.662651 | 91 | 0.606108 | 440 | 3,209 | 4.386364 | 0.318182 | 0.034197 | 0.017098 | 0.015544 | 0.057513 | 0.048705 | 0.038342 | 0.038342 | 0.038342 | 0 | 0 | 0.022097 | 0.280773 | 3,209 | 82 | 92 | 39.134146 | 0.814125 | 0.308507 | 0 | 0 | 0 | 0 | 0.063426 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.211538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13d60376951a923005fa671870c17c7889bfb96b | 6,140 | py | Python | pf/queue.py | PiRAT4/py-pf | 7ffdd0a283d4a36fc4c473433d5f79a84eeb5d31 | [
"BSD-3-Clause"
] | null | null | null | pf/queue.py | PiRAT4/py-pf | 7ffdd0a283d4a36fc4c473433d5f79a84eeb5d31 | [
"BSD-3-Clause"
] | null | null | null | pf/queue.py | PiRAT4/py-pf | 7ffdd0a283d4a36fc4c473433d5f79a84eeb5d31 | [
"BSD-3-Clause"
] | null | null | null | """Classes to represent Packet Filter's queueing schedulers and statistics."""
import pf._struct
from pf._base import PFObject
from pf.constants import *
from pf._utils import rate2str
__all__ = ["ServiceCurve",
"FlowQueue",
"PFQueue",
"PFQueueStats"]
class ServiceCurve(PFObject):
... | 29.95122 | 79 | 0.548534 | 703 | 6,140 | 4.607397 | 0.14367 | 0.046311 | 0.030874 | 0.027786 | 0.143563 | 0.029021 | 0.020377 | 0 | 0 | 0 | 0 | 0.014562 | 0.317752 | 6,140 | 204 | 80 | 30.098039 | 0.758654 | 0.011726 | 0 | 0.09589 | 0 | 0.013699 | 0.065776 | 0.004396 | 0 | 0 | 0 | 0 | 0 | 1 | 0.116438 | false | 0 | 0.027397 | 0 | 0.260274 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13d981ac5c1effe03cfb8f11663b3250b5130bd2 | 4,546 | py | Python | dumpcode/npzbdt.py | gkfthddk/keras | 46d96c65d69c39df298800336bbb4d867a2561fb | [
"MIT"
] | null | null | null | dumpcode/npzbdt.py | gkfthddk/keras | 46d96c65d69c39df298800336bbb4d867a2561fb | [
"MIT"
] | null | null | null | dumpcode/npzbdt.py | gkfthddk/keras | 46d96c65d69c39df298800336bbb4d867a2561fb | [
"MIT"
] | null | null | null | import numpy as np
from sklearn.model_selection import RandomizedSearchCV, GridSearchCV
from sklearn.metrics import roc_auc_score
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import KFold
import scipy.stats as sts
import xgboost as xgb
from xiter import *
import pandas as pd
import a... | 38.525424 | 167 | 0.720853 | 713 | 4,546 | 4.475456 | 0.307153 | 0.042306 | 0.079912 | 0.056409 | 0.339079 | 0.278283 | 0.185522 | 0.164212 | 0.099342 | 0.052648 | 0 | 0.026696 | 0.101848 | 4,546 | 117 | 168 | 38.854701 | 0.754837 | 0.095029 | 0 | 0.104167 | 0 | 0 | 0.212823 | 0.018284 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010417 | false | 0 | 0.125 | 0 | 0.145833 | 0.09375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13dbe7e355868c585eddb2ca7609fa83a2860aed | 12,384 | py | Python | rlenv/StockTradingEnv0.py | watchsea/RL-Stock | 53bd13a1bd1760e082c6db2ad9b010adbc3a767b | [
"MIT"
] | null | null | null | rlenv/StockTradingEnv0.py | watchsea/RL-Stock | 53bd13a1bd1760e082c6db2ad9b010adbc3a767b | [
"MIT"
] | null | null | null | rlenv/StockTradingEnv0.py | watchsea/RL-Stock | 53bd13a1bd1760e082c6db2ad9b010adbc3a767b | [
"MIT"
] | null | null | null | import random
import json
import gym
from gym import spaces
import pandas as pd
import numpy as np
MAX_ACCOUNT_BALANCE = 2147483647
MAX_NUM_SHARES = 2147483647
MAX_SHARE_PRICE = 5000
MAX_VOLUME = 1000e8
MAX_AMOUNT = 3e10
MAX_OPEN_POSITIONS = 5
MAX_STEPS = 20000
MAX_DAY_CHANGE = 1
INITIAL_ACCOUNT_BALANCE = 10000
DATA... | 41.69697 | 127 | 0.581476 | 1,571 | 12,384 | 4.385742 | 0.144494 | 0.039187 | 0.054427 | 0.028737 | 0.437881 | 0.38389 | 0.324238 | 0.296226 | 0.264296 | 0.235414 | 0 | 0.02345 | 0.321625 | 12,384 | 296 | 128 | 41.837838 | 0.796691 | 0.202196 | 0 | 0.368932 | 0 | 0.004854 | 0.047221 | 0.007241 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033981 | false | 0 | 0.029126 | 0 | 0.097087 | 0.043689 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13dd331f73864377a1d0952e862e552f50ab90bf | 2,053 | py | Python | processing/manager.py | mrfleap/us-population-heatmap | e3f1c5d8294716ff491c7b8b40adb77929f9aeee | [
"MIT"
] | null | null | null | processing/manager.py | mrfleap/us-population-heatmap | e3f1c5d8294716ff491c7b8b40adb77929f9aeee | [
"MIT"
] | null | null | null | processing/manager.py | mrfleap/us-population-heatmap | e3f1c5d8294716ff491c7b8b40adb77929f9aeee | [
"MIT"
] | null | null | null | import json
import os
import pathlib
import time
from tqdm import tqdm
from aggregator import aggregate
from download import DOWNLOAD_PATH, download_files, unzip_files
from tqdm.contrib.concurrent import process_map
def main():
start = time.time()
# print("Downloading files...")
# download_files()
#... | 27.013158 | 103 | 0.632245 | 283 | 2,053 | 4.342756 | 0.310954 | 0.071603 | 0.032547 | 0.058584 | 0.262815 | 0.158666 | 0.056957 | 0.056957 | 0.056957 | 0.056957 | 0 | 0.012579 | 0.225524 | 2,053 | 75 | 104 | 27.373333 | 0.760377 | 0.096931 | 0 | 0.043478 | 0 | 0 | 0.156013 | 0.042254 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.173913 | 0.021739 | 0.282609 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
13ddb1c02b1ed46330b061450969494a2a48af52 | 794 | py | Python | gen_data.py | kshoji6011/vehicleai | 135de71cce65f4a61b42c49493ed356f2d512d6c | [
"MIT"
] | null | null | null | gen_data.py | kshoji6011/vehicleai | 135de71cce65f4a61b42c49493ed356f2d512d6c | [
"MIT"
] | null | null | null | gen_data.py | kshoji6011/vehicleai | 135de71cce65f4a61b42c49493ed356f2d512d6c | [
"MIT"
] | null | null | null | from PIL import Image
import os, glob
import numpy as np
from sklearn import model_selection
classes = ["car", "bycycle", "motorcycle", "pedestrian"]
num_class = len(classes)
image_size = 50
# 画像の読み込み
X = []
Y = []
for index, classlabel in enumerate(classes):
photos_dir = "./" + classlabel
files = glob.glob... | 24.8125 | 73 | 0.644836 | 119 | 794 | 4.151261 | 0.462185 | 0.054656 | 0.02834 | 0.044534 | 0.089069 | 0.089069 | 0.089069 | 0.089069 | 0 | 0 | 0 | 0.012821 | 0.214106 | 794 | 32 | 74 | 24.8125 | 0.778846 | 0.008816 | 0 | 0 | 0 | 0 | 0.068702 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.16 | 0 | 0.16 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13de3e4f691cb4b36cd9750b30e5106c02f72fb9 | 724 | py | Python | app/main.py | immortel32/Sword_Sorcery_Story_Generator | 7978dfc335813362b2d94c455b970f58421123c8 | [
"MIT"
] | 2 | 2021-04-01T00:50:22.000Z | 2021-04-01T02:18:45.000Z | app/main.py | immortel32/Sword_Sorcery_Story_Generator | 7978dfc335813362b2d94c455b970f58421123c8 | [
"MIT"
] | 1 | 2021-04-01T21:39:44.000Z | 2021-04-01T21:39:44.000Z | app/main.py | immortel32/Sword_Sorcery_Story_Generator | 7978dfc335813362b2d94c455b970f58421123c8 | [
"MIT"
] | 1 | 2021-04-01T01:03:33.000Z | 2021-04-01T01:03:33.000Z | from services import waypoint_scenarios, quest_scenarios
from services.build_campaign import Campaign
from log_setup import log
if __name__ == "__main__":
number_waypoint_scenario = waypoint_scenarios.get_number_of_waypoint_scenarios()
log.info(f"We have {number_waypoint_scenario} waypoint available")
numb... | 42.588235 | 84 | 0.809392 | 92 | 724 | 5.880435 | 0.293478 | 0.125693 | 0.133087 | 0.110906 | 0.240296 | 0.107209 | 0.107209 | 0 | 0 | 0 | 0 | 0.004747 | 0.127072 | 724 | 16 | 85 | 45.25 | 0.851266 | 0 | 0 | 0 | 0 | 0 | 0.153315 | 0.070442 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13defa0932ab990d6739afd72d573b29bcd8a6e3 | 2,473 | py | Python | distill.py | Lukeming-tsinghua/Interpretable-NN-for-IBD-diagnosis | 5fb0fae774e010cdd6b63ff487a4528f0397647d | [
"MIT"
] | null | null | null | distill.py | Lukeming-tsinghua/Interpretable-NN-for-IBD-diagnosis | 5fb0fae774e010cdd6b63ff487a4528f0397647d | [
"MIT"
] | null | null | null | distill.py | Lukeming-tsinghua/Interpretable-NN-for-IBD-diagnosis | 5fb0fae774e010cdd6b63ff487a4528f0397647d | [
"MIT"
] | null | null | null | import os
from collections import namedtuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from sklearn.metrics import classification_report
from torch.optim import Adam
from tqdm import tqdm
from data import DataIteratorDistill
from loss import FocalLoss
from model import CNN
from torchtext impo... | 34.347222 | 89 | 0.632835 | 306 | 2,473 | 4.996732 | 0.352941 | 0.041857 | 0.031393 | 0.020929 | 0.049706 | 0.049706 | 0.049706 | 0.049706 | 0.049706 | 0 | 0 | 0.010977 | 0.263243 | 2,473 | 71 | 90 | 34.830986 | 0.828211 | 0.014557 | 0 | 0.032787 | 0 | 0 | 0.019704 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.262295 | 0 | 0.262295 | 0.065574 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13df4c0e986f7c76ecd11c6a6721e985d305104d | 7,597 | py | Python | tests/TALTests/HTMLTests/TALAttributesTestCases.py | janbrohl/SimpleTAL | f5a3ddd9a74cf9af7356bb431513e3534717802d | [
"BSD-3-Clause"
] | 5 | 2015-11-20T12:17:04.000Z | 2021-03-19T13:49:33.000Z | tests/TALTests/HTMLTests/TALAttributesTestCases.py | mar10/SimpleTAL | f5a3ddd9a74cf9af7356bb431513e3534717802d | [
"BSD-3-Clause"
] | 5 | 2015-09-20T12:55:23.000Z | 2018-05-12T10:34:20.000Z | tests/TALTests/HTMLTests/TALAttributesTestCases.py | mar10/SimpleTAL | f5a3ddd9a74cf9af7356bb431513e3534717802d | [
"BSD-3-Clause"
] | 1 | 2022-01-24T13:37:38.000Z | 2022-01-24T13:37:38.000Z | #!/usr/bin/python
# -*- coding: iso-8859-1 -*-
# Copyright (c) 2016, Jan Brohl <janbrohl@t-online.de>
# All rights reserved.
# See LICENSE.txt
# Copyright (c) 2004 Colin Stewart (http://www.owlfish.com/)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# ... | 46.042424 | 162 | 0.65618 | 881 | 7,597 | 5.609535 | 0.30193 | 0.045528 | 0.039458 | 0.053824 | 0.441319 | 0.416026 | 0.374545 | 0.374545 | 0.36038 | 0.29138 | 0 | 0.003002 | 0.210741 | 7,597 | 164 | 163 | 46.323171 | 0.821214 | 0.252863 | 0 | 0.26 | 0 | 0.15 | 0.488528 | 0.162184 | 0 | 0 | 0 | 0 | 0.01 | 1 | 0.15 | false | 0.01 | 0.07 | 0 | 0.23 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13dfb252487b62555c998999e6abd56dcb22612c | 562 | py | Python | iseq_prof/fasta.py | EBI-Metagenomics/iseq-prof | ca41a0f3aa1e70e59648bdc08b36da1ec76220ad | [
"MIT"
] | null | null | null | iseq_prof/fasta.py | EBI-Metagenomics/iseq-prof | ca41a0f3aa1e70e59648bdc08b36da1ec76220ad | [
"MIT"
] | null | null | null | iseq_prof/fasta.py | EBI-Metagenomics/iseq-prof | ca41a0f3aa1e70e59648bdc08b36da1ec76220ad | [
"MIT"
] | null | null | null | from pathlib import Path
from typing import List
from fasta_reader import FASTAItem, FASTAWriter, read_fasta
__all__ = ["downsample"]
def downsample(infile: Path, outfile: Path, size: int, random):
targets: List[FASTAItem] = list(read_fasta(infile))
if size > len(targets):
raise ValueError("Size is ... | 29.578947 | 71 | 0.715302 | 72 | 562 | 5.472222 | 0.611111 | 0.045685 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190391 | 562 | 18 | 72 | 31.222222 | 0.865934 | 0 | 0 | 0 | 0 | 0 | 0.094306 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.25 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13e04df35258103610f99481901f9649956a3c76 | 209 | py | Python | src/data_settings.py | DhruvSrikanth/TSLA-React | 2ce4edb6b21ec1a301047124cfda5bb30deb3a90 | [
"MIT"
] | null | null | null | src/data_settings.py | DhruvSrikanth/TSLA-React | 2ce4edb6b21ec1a301047124cfda5bb30deb3a90 | [
"MIT"
] | null | null | null | src/data_settings.py | DhruvSrikanth/TSLA-React | 2ce4edb6b21ec1a301047124cfda5bb30deb3a90 | [
"MIT"
] | null | null | null | # API keys
# YF_API_KEY = "YRVHVLiFAt3ANYZf00BXr2LHNfZcgKzdWVmsZ9Xi" # yahoo finance api key
TICKER = "TSLA"
INTERVAL = "1m"
PERIOD = "1d"
LOOK_BACK = 30 # hard limit to not reach rate limit of 100 per day | 20.9 | 81 | 0.732057 | 30 | 209 | 5 | 0.866667 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.070588 | 0.186603 | 209 | 10 | 82 | 20.9 | 0.811765 | 0.655502 | 0 | 0 | 0 | 0 | 0.117647 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13e0ca25df4bf90f8ba82de1f47aa08f14078d33 | 5,304 | py | Python | numba/roc/tests/hsapy/test_gufuncbuilding.py | luk-f-a/numba | 3a682bd827e416335e3574bc7b10f0ec69adb701 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 76 | 2020-07-06T14:44:05.000Z | 2022-02-14T15:30:21.000Z | numba/roc/tests/hsapy/test_gufuncbuilding.py | luk-f-a/numba | 3a682bd827e416335e3574bc7b10f0ec69adb701 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 108 | 2020-08-17T22:38:26.000Z | 2021-12-06T09:44:14.000Z | numba/roc/tests/hsapy/test_gufuncbuilding.py | luk-f-a/numba | 3a682bd827e416335e3574bc7b10f0ec69adb701 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 11 | 2020-07-12T16:18:07.000Z | 2022-02-05T16:48:35.000Z | import numpy as np
from numba.roc.vectorizers import HsaGUFuncVectorize
from numba.roc.dispatch import HSAGenerializedUFunc
from numba import guvectorize
import unittest
def ufunc_add_core(a, b, c):
for i in range(c.size):
c[i] = a[i] + b[i]
class TestGUFuncBuilding(unittest.TestCase):
def test_guf... | 31.951807 | 75 | 0.532805 | 760 | 5,304 | 3.672368 | 0.117105 | 0.060193 | 0.09029 | 0.064493 | 0.701182 | 0.653171 | 0.631673 | 0.59871 | 0.59871 | 0.59871 | 0 | 0.047554 | 0.310143 | 5,304 | 165 | 76 | 32.145455 | 0.715223 | 0.026961 | 0 | 0.658537 | 0 | 0 | 0.047527 | 0 | 0 | 0 | 0 | 0 | 0.186992 | 1 | 0.065041 | false | 0 | 0.04065 | 0 | 0.121951 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13e1722808236b6aeebbdaf4b408b6e5d0b9cadb | 738 | py | Python | control-flow/solution/file_hosts.py | giserh/book-python | ebd4e70cea1dd56986aa8efbae3629ba3f1ba087 | [
"MIT"
] | 1 | 2019-01-02T15:04:08.000Z | 2019-01-02T15:04:08.000Z | control-flow/solution/file_hosts.py | giserh/book-python | ebd4e70cea1dd56986aa8efbae3629ba3f1ba087 | [
"MIT"
] | null | null | null | control-flow/solution/file_hosts.py | giserh/book-python | ebd4e70cea1dd56986aa8efbae3629ba3f1ba087 | [
"MIT"
] | null | null | null | FILE = r'../src/etc-hosts.txt'
hostnames = []
try:
with open(FILE, encoding='utf-8') as file:
content = file.readlines()
except FileNotFoundError:
print('File does not exist')
except PermissionError:
print('Permission denied')
for line in content:
if line.startswith('#'):
continue
... | 19.421053 | 56 | 0.550136 | 83 | 738 | 4.891566 | 0.554217 | 0.029557 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009785 | 0.307588 | 738 | 37 | 57 | 19.945946 | 0.784736 | 0 | 0 | 0.071429 | 0 | 0 | 0.136856 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.107143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13e274ea10a3039f67d424845564d23d8affb74d | 2,875 | py | Python | algo/test/test_maximum_cut.py | ssavinash1/Algorithm_stanford | f2588b6bcac2b0858e78b819e6e8402109e80ee2 | [
"MIT"
] | 24 | 2016-03-21T07:53:54.000Z | 2020-06-29T12:16:36.000Z | algo/test/test_maximum_cut.py | ssavinash1/Algorithm_stanford | f2588b6bcac2b0858e78b819e6e8402109e80ee2 | [
"MIT"
] | 5 | 2015-09-29T17:12:36.000Z | 2020-03-26T20:51:56.000Z | algo/test/test_maximum_cut.py | ssavinash1/Algorithm_stanford | f2588b6bcac2b0858e78b819e6e8402109e80ee2 | [
"MIT"
] | 12 | 2016-05-24T16:48:32.000Z | 2020-10-02T12:22:09.000Z | # -*- coding: utf-8 -*-
import unittest
from src.graph import Graph
from src.maximum_cut import maximum_cut, maximum_cut_for_bipartite_graph
class MaximumCut(unittest.TestCase):
def test_maximum_cut_for_bipartite_graphs(self):
""" Given the following bipartite graph.
(a)-----(b)
... | 33.823529 | 79 | 0.420522 | 322 | 2,875 | 3.65528 | 0.226708 | 0.093458 | 0.055225 | 0.074766 | 0.371283 | 0.314359 | 0.253186 | 0.13254 | 0.13254 | 0.105353 | 0 | 0.013684 | 0.364522 | 2,875 | 84 | 80 | 34.22619 | 0.630542 | 0.151304 | 0 | 0.27027 | 0 | 0 | 0.138389 | 0 | 0 | 0 | 0 | 0 | 0.297297 | 1 | 0.108108 | false | 0 | 0.081081 | 0 | 0.216216 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13e34fac65209ea50100d76fe6090282f3d8e3b4 | 5,788 | py | Python | gdb/print-avs-rbtree.py | kemonats/avs_commons | ecce4edf5376d132e3686af227c9adf22ce1090e | [
"Apache-2.0"
] | 4 | 2016-11-04T12:55:32.000Z | 2019-03-21T15:07:58.000Z | gdb/print-avs-rbtree.py | kemonats/avs_commons | ecce4edf5376d132e3686af227c9adf22ce1090e | [
"Apache-2.0"
] | 5 | 2015-02-11T09:34:36.000Z | 2021-04-19T08:51:50.000Z | gdb/print-avs-rbtree.py | kemonats/avs_commons | ecce4edf5376d132e3686af227c9adf22ce1090e | [
"Apache-2.0"
] | 17 | 2015-12-17T10:32:09.000Z | 2022-02-14T10:58:39.000Z | # -*- coding: utf-8 -*-
#
# Copyright 2021 AVSystem <avsystem@avsystem.com>
#
# 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 requi... | 37.102564 | 146 | 0.593988 | 729 | 5,788 | 4.506173 | 0.226337 | 0.030137 | 0.034094 | 0.027397 | 0.53516 | 0.499543 | 0.473973 | 0.416134 | 0.382648 | 0.301065 | 0 | 0.011541 | 0.281444 | 5,788 | 155 | 147 | 37.341935 | 0.778312 | 0.114029 | 0 | 0.396226 | 0 | 0 | 0.141487 | 0.013503 | 0 | 0 | 0 | 0.006452 | 0 | 1 | 0.075472 | false | 0 | 0.009434 | 0 | 0.188679 | 0.254717 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13e3573ef0ab92fc261e9835b12be4ef8345103f | 1,372 | py | Python | hour17/PythonGroup.py | sampx/mongodb-practice | 0698b21b7da57693ba4146384c8ad65530b0066b | [
"MIT"
] | null | null | null | hour17/PythonGroup.py | sampx/mongodb-practice | 0698b21b7da57693ba4146384c8ad65530b0066b | [
"MIT"
] | null | null | null | hour17/PythonGroup.py | sampx/mongodb-practice | 0698b21b7da57693ba4146384c8ad65530b0066b | [
"MIT"
] | null | null | null | from pymongo import MongoClient
def displayGroup(results):
for result in results:
print (result)
def firstIsALastIsVowel(collection):
key = {'first' : True, "last" : True}
cond = {'first' : 'a', 'last' :
{'$in' : ["a","e","i","o","u"]}}
initial = {'count' : 0}
red... | 39.2 | 69 | 0.54519 | 138 | 1,372 | 5.355072 | 0.427536 | 0.077131 | 0.048714 | 0.05954 | 0.184032 | 0.184032 | 0.113667 | 0 | 0 | 0 | 0 | 0.008282 | 0.295918 | 1,372 | 35 | 70 | 39.2 | 0.756729 | 0 | 0 | 0.114286 | 0 | 0 | 0.294249 | 0.035101 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0 | 0.028571 | 0 | 0.114286 | 0.085714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13e4eede3d6e6a6be8776d50a9b969b677e1d046 | 5,115 | py | Python | packnet_sfm/models/model_utils.py | pection/packnet-sfm | d5673567b649e6bfda292c894cacdeb06aa80913 | [
"MIT"
] | 1 | 2022-02-22T06:19:02.000Z | 2022-02-22T06:19:02.000Z | packnet_sfm/models/model_utils.py | pection/packnet-sfm | d5673567b649e6bfda292c894cacdeb06aa80913 | [
"MIT"
] | null | null | null | packnet_sfm/models/model_utils.py | pection/packnet-sfm | d5673567b649e6bfda292c894cacdeb06aa80913 | [
"MIT"
] | null | null | null | # Copyright 2020 Toyota Research Institute. All rights reserved.
from packnet_sfm.utils.image import flip_lr, interpolate_scales
from packnet_sfm.utils.misc import filter_dict
from packnet_sfm.utils.types import is_tensor, is_list, is_numpy
def flip(tensor, flip_fn):
"""
Flip tensors or list of tensors base... | 28.259669 | 93 | 0.585728 | 634 | 5,115 | 4.605678 | 0.250789 | 0.035616 | 0.019178 | 0.023973 | 0.205137 | 0.170205 | 0.158562 | 0.115753 | 0.093151 | 0.093151 | 0 | 0.00671 | 0.300684 | 5,115 | 180 | 94 | 28.416667 | 0.809617 | 0.352884 | 0 | 0.242857 | 0 | 0 | 0.144675 | 0.007368 | 0 | 0 | 0 | 0 | 0.042857 | 1 | 0.085714 | false | 0 | 0.042857 | 0 | 0.242857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13e8cb3c3e9246762451e5cb22ca74f1dccc3db7 | 2,656 | py | Python | predict_recognition.py | yeyupiaoling/Kersa-Speaker-Recognition | 7ccf42c006f42ff6074ad3937e44a0dfa68c6d33 | [
"Apache-2.0"
] | 42 | 2020-07-12T13:21:13.000Z | 2021-07-01T01:06:12.000Z | predict_recognition.py | yeyupiaoling/VoiceprintRecognition-Keras | 7ccf42c006f42ff6074ad3937e44a0dfa68c6d33 | [
"Apache-2.0"
] | 3 | 2020-08-19T06:16:02.000Z | 2020-11-02T02:16:56.000Z | predict_recognition.py | yeyupiaoling/Kersa-Speaker-Recognition | 7ccf42c006f42ff6074ad3937e44a0dfa68c6d33 | [
"Apache-2.0"
] | 12 | 2020-07-15T14:33:51.000Z | 2021-05-24T03:55:04.000Z | import argparse
import os
import shutil
import time
import numpy as np
from utils import model, utils
from utils.record import RecordAudio
parser = argparse.ArgumentParser()
parser.add_argument('--audio_db', default='audio_db/', type=str, help='音频库的路径')
parser.add_argument('--threshold', default=... | 28.255319 | 103 | 0.628765 | 343 | 2,656 | 4.676385 | 0.35277 | 0.039277 | 0.031796 | 0.017456 | 0.074813 | 0.037406 | 0 | 0 | 0 | 0 | 0 | 0.012935 | 0.243223 | 2,656 | 93 | 104 | 28.55914 | 0.785075 | 0.017696 | 0 | 0.115942 | 0 | 0 | 0.093041 | 0.01807 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057971 | false | 0 | 0.101449 | 0 | 0.188406 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13e90500b4879323474a6761d01dbd32906a8b6c | 6,853 | py | Python | cubedash/_product.py | vconrado/datacube-explorer | ccb9a9a42e5dd16e2b0325a1f881b080bb2806e6 | [
"Apache-2.0"
] | null | null | null | cubedash/_product.py | vconrado/datacube-explorer | ccb9a9a42e5dd16e2b0325a1f881b080bb2806e6 | [
"Apache-2.0"
] | null | null | null | cubedash/_product.py | vconrado/datacube-explorer | ccb9a9a42e5dd16e2b0325a1f881b080bb2806e6 | [
"Apache-2.0"
] | null | null | null | import logging
from datetime import timedelta
from flask import Blueprint, Response, abort, redirect, url_for
from cubedash import _model, _utils, _utils as utils
_LOG = logging.getLogger(__name__)
bp = Blueprint("product", __name__)
@bp.route("/about.csv")
def legacy_about_csv():
return redirect(".storage_csv... | 27.522088 | 86 | 0.620604 | 828 | 6,853 | 4.881643 | 0.188406 | 0.07719 | 0.025977 | 0.021029 | 0.502969 | 0.435675 | 0.388669 | 0.320139 | 0.287976 | 0.264226 | 0 | 0.017357 | 0.260178 | 6,853 | 248 | 87 | 27.633065 | 0.779882 | 0.094119 | 0 | 0.241758 | 0 | 0 | 0.144533 | 0.049047 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093407 | false | 0 | 0.021978 | 0.043956 | 0.208791 | 0.010989 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13e960260e528ba2d92aa2f22ba8b6f12cf5bbfe | 1,923 | py | Python | litex_boards/platforms/sipeed_tang_nano.py | ozbenh/litex-boards | f18b10d1edb4e162a77972e2e9c5bad54ca00788 | [
"BSD-2-Clause"
] | null | null | null | litex_boards/platforms/sipeed_tang_nano.py | ozbenh/litex-boards | f18b10d1edb4e162a77972e2e9c5bad54ca00788 | [
"BSD-2-Clause"
] | null | null | null | litex_boards/platforms/sipeed_tang_nano.py | ozbenh/litex-boards | f18b10d1edb4e162a77972e2e9c5bad54ca00788 | [
"BSD-2-Clause"
] | null | null | null | #
# This file is part of LiteX-Boards.
#
# Copyright (c) 2021 Florent Kermarrec <florent@enjoy-digital.fr>
# SPDX-License-Identifier: BSD-2-Clause
# Board diagram/pinout:
# https://user-images.githubusercontent.com/1450143/133655492-532d5e9a-0635-4889-85c9-68683d06cae0.png
# http://dl.sipeed.com/TANG/Nano/HDK/Tang-NAN... | 32.05 | 115 | 0.573583 | 200 | 1,923 | 5.36 | 0.57 | 0.117537 | 0.039179 | 0.037313 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066463 | 0.147166 | 1,923 | 59 | 116 | 32.59322 | 0.587195 | 0.339054 | 0 | 0 | 0 | 0 | 0.149004 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.137931 | 0.034483 | 0.37931 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13eaaea3944207924e8d3d8e8f4c1a6a0ee51732 | 10,525 | py | Python | nm_cavia/rl/metalearner.py | anon-6994/nm-metarl | 45c8798c2139d8c200cc7a398331c1b98a0dccec | [
"MIT"
] | null | null | null | nm_cavia/rl/metalearner.py | anon-6994/nm-metarl | 45c8798c2139d8c200cc7a398331c1b98a0dccec | [
"MIT"
] | null | null | null | nm_cavia/rl/metalearner.py | anon-6994/nm-metarl | 45c8798c2139d8c200cc7a398331c1b98a0dccec | [
"MIT"
] | null | null | null | import torch
from torch.distributions.kl import kl_divergence
from torch.nn.utils.convert_parameters import (vector_to_parameters,
parameters_to_vector)
from rl_utils.optimization import conjugate_gradient
from rl_utils.torch_utils import (weighted_mean, detach_distributi... | 40.171756 | 120 | 0.624323 | 1,296 | 10,525 | 4.907407 | 0.200617 | 0.033019 | 0.018868 | 0.017296 | 0.270912 | 0.221855 | 0.207233 | 0.202044 | 0.186635 | 0.178931 | 0 | 0.013286 | 0.284846 | 10,525 | 261 | 121 | 40.325671 | 0.831673 | 0.230974 | 0 | 0.275168 | 0 | 0 | 0.004312 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073826 | false | 0 | 0.033557 | 0 | 0.174497 | 0.033557 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13eac7b96baca5f54a52331a42d7e035d905943e | 2,321 | py | Python | request/management/commands/purgerequests.py | hramezani/django-request | 4b9c7b22f26338d2c93110477aa44041b1c5ddb4 | [
"BSD-2-Clause"
] | 373 | 2016-04-22T21:18:41.000Z | 2022-03-31T23:13:31.000Z | request/management/commands/purgerequests.py | hramezani/django-request | 4b9c7b22f26338d2c93110477aa44041b1c5ddb4 | [
"BSD-2-Clause"
] | 128 | 2016-04-22T21:30:55.000Z | 2022-03-08T20:24:44.000Z | request/management/commands/purgerequests.py | hramezani/django-request | 4b9c7b22f26338d2c93110477aa44041b1c5ddb4 | [
"BSD-2-Clause"
] | 79 | 2016-04-25T08:44:56.000Z | 2022-03-17T01:41:27.000Z | from datetime import timedelta
from dateutil.relativedelta import relativedelta
from django.core.management.base import BaseCommand, CommandError
from django.utils import timezone
from ...models import Request
DURATION_OPTIONS = {
'hours': lambda amount: timezone.now() - timedelta(hours=amount),
'days': lamb... | 30.142857 | 88 | 0.623007 | 269 | 2,321 | 5.315985 | 0.475836 | 0.052448 | 0.06993 | 0.08042 | 0.117483 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004706 | 0.267557 | 2,321 | 76 | 89 | 30.539474 | 0.836471 | 0.04567 | 0 | 0.084746 | 0 | 0 | 0.212574 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033898 | false | 0.016949 | 0.084746 | 0 | 0.169492 | 0.033898 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13ec7c22478f599c0c77b64f3478dbd3b142fa61 | 8,135 | py | Python | cdci_data_analysis/analysis/plot_tools.py | andreatramacere/cdci_data_analysis | 8ae34a7252d6baf011a3b99fbe4f6e624b63d7df | [
"MIT"
] | null | null | null | cdci_data_analysis/analysis/plot_tools.py | andreatramacere/cdci_data_analysis | 8ae34a7252d6baf011a3b99fbe4f6e624b63d7df | [
"MIT"
] | null | null | null | cdci_data_analysis/analysis/plot_tools.py | andreatramacere/cdci_data_analysis | 8ae34a7252d6baf011a3b99fbe4f6e624b63d7df | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division, print_function
from builtins import (bytes, str, open, super, range,
zip, round, input, int, pow, object, map, zip)
__author__ = "Andrea Tramacere"
import numpy as np
from astropy import wcs
from bokeh.layouts import row, widgetbox,gridplot
... | 31.288462 | 132 | 0.547019 | 1,071 | 8,135 | 3.966387 | 0.225957 | 0.006591 | 0.014124 | 0.021186 | 0.250235 | 0.202448 | 0.130885 | 0.118644 | 0.09887 | 0.073446 | 0 | 0.012397 | 0.315796 | 8,135 | 259 | 133 | 31.409266 | 0.750808 | 0.153534 | 0 | 0.125 | 0 | 0 | 0.076158 | 0.024704 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078125 | false | 0 | 0.070313 | 0 | 0.195313 | 0.007813 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13edd551b75e71fd96ef5d443c0c54bbec028a56 | 844 | py | Python | test/unit/test_testaid_unit_pathlist.py | RebelCodeBase/testaid | 998c827b826fe4374ecf0a234fef61a975e2fcd7 | [
"Apache-2.0"
] | 17 | 2019-08-04T09:29:19.000Z | 2020-05-16T02:25:20.000Z | test/unit/test_testaid_unit_pathlist.py | RebelCodeBase/testaid | 998c827b826fe4374ecf0a234fef61a975e2fcd7 | [
"Apache-2.0"
] | 12 | 2019-07-19T22:20:42.000Z | 2020-01-20T06:45:38.000Z | test/unit/test_testaid_unit_pathlist.py | RebelCodeBase/testaid | 998c827b826fe4374ecf0a234fef61a975e2fcd7 | [
"Apache-2.0"
] | 3 | 2019-08-08T18:18:13.000Z | 2019-10-07T13:46:03.000Z | from pathlib import Path
from testaid.pathlist import PathList
def test_testaid_unit_pathlist_roles_blacklist(testvars_roles_blacklist):
assert testvars_roles_blacklist is not None
def test_testaid_unit_pathlist_roles_whitelist(testvars_roles_whitelist):
assert testvars_roles_whitelist is not None
def tes... | 29.103448 | 73 | 0.726303 | 112 | 844 | 5.196429 | 0.3125 | 0.089347 | 0.072165 | 0.092784 | 0.182131 | 0.182131 | 0.120275 | 0.120275 | 0 | 0 | 0 | 0.034532 | 0.17654 | 844 | 28 | 74 | 30.142857 | 0.802878 | 0 | 0 | 0 | 0 | 0 | 0.099526 | 0.058057 | 0 | 0 | 0 | 0 | 0.136364 | 1 | 0.136364 | false | 0 | 0.090909 | 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 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13ee6c7b533dc2afb81ce7087fea00c547679671 | 22,147 | py | Python | tests/unit/zhmcclient/test_hba.py | vkpro-forks/python-zhmcclient | eab2dca37cb417d03411450dabf72805214b5ca0 | [
"Apache-2.0"
] | null | null | null | tests/unit/zhmcclient/test_hba.py | vkpro-forks/python-zhmcclient | eab2dca37cb417d03411450dabf72805214b5ca0 | [
"Apache-2.0"
] | null | null | null | tests/unit/zhmcclient/test_hba.py | vkpro-forks/python-zhmcclient | eab2dca37cb417d03411450dabf72805214b5ca0 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016-2017 IBM Corp. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 34.658842 | 77 | 0.557457 | 2,608 | 22,147 | 4.547546 | 0.128451 | 0.018887 | 0.013491 | 0.015346 | 0.592074 | 0.52403 | 0.490051 | 0.426391 | 0.391062 | 0.350422 | 0 | 0.01895 | 0.325687 | 22,147 | 638 | 78 | 34.713166 | 0.775211 | 0.192441 | 0 | 0.532864 | 0 | 0 | 0.149692 | 0.01476 | 0 | 0 | 0 | 0.001567 | 0.084507 | 1 | 0.030516 | false | 0 | 0.016432 | 0 | 0.053991 | 0.002347 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13ef6d428251649b315fbe8757c2d7336d7471a8 | 367 | py | Python | compiler-rt/test/asan/TestCases/Windows/lit.local.cfg.py | medismailben/llvm-project | e334a839032fe500c3bba22bf976ab7af13ce1c1 | [
"Apache-2.0"
] | 2,338 | 2018-06-19T17:34:51.000Z | 2022-03-31T11:00:37.000Z | compiler-rt/test/asan/TestCases/Windows/lit.local.cfg.py | medismailben/llvm-project | e334a839032fe500c3bba22bf976ab7af13ce1c1 | [
"Apache-2.0"
] | 3,740 | 2019-01-23T15:36:48.000Z | 2022-03-31T22:01:13.000Z | compiler-rt/test/asan/TestCases/Windows/lit.local.cfg.py | medismailben/llvm-project | e334a839032fe500c3bba22bf976ab7af13ce1c1 | [
"Apache-2.0"
] | 500 | 2019-01-23T07:49:22.000Z | 2022-03-30T02:59:37.000Z | def getRoot(config):
if not config.parent:
return config
return getRoot(config.parent)
root = getRoot(config)
# We only run a small set of tests on Windows for now.
# Override the parent directory's "unsupported" decision until we can handle
# all of its tests.
if root.host_os in ['Windows']:
config.unsuppo... | 24.466667 | 76 | 0.73842 | 56 | 367 | 4.821429 | 0.660714 | 0.144444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179837 | 367 | 14 | 77 | 26.214286 | 0.89701 | 0.395095 | 0 | 0 | 0 | 0 | 0.03211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13f22ca29da54a0f4486e1f8539ee236d259fc1e | 5,960 | py | Python | efetch_server/plugins/fa_sqlite/fa_sqlite_ajax.py | Syrkadian/efetch | 120ac963507d54998beecfd8b8cd85ad123e6e54 | [
"Apache-2.0"
] | 38 | 2015-08-18T00:29:16.000Z | 2021-12-06T15:53:47.000Z | efetch_server/plugins/fa_sqlite/fa_sqlite_ajax.py | Syrkadian/efetch | 120ac963507d54998beecfd8b8cd85ad123e6e54 | [
"Apache-2.0"
] | 20 | 2016-03-18T02:20:27.000Z | 2020-04-09T22:16:42.000Z | efetch_server/plugins/fa_sqlite/fa_sqlite_ajax.py | Syrkadian/efetch | 120ac963507d54998beecfd8b8cd85ad123e6e54 | [
"Apache-2.0"
] | 8 | 2016-08-23T14:59:15.000Z | 2020-04-09T21:43:25.000Z | """
AJAX for SQLite Viewer plugin
"""
from yapsy.IPlugin import IPlugin
from flask import Response, jsonify
import json
import logging
import sqlite3
class FaSqliteAjax(IPlugin):
def __init__(self):
self.display_name = 'SQLite Ajax'
self.popularity = 0
self.cache = True
self.fast ... | 35.266272 | 133 | 0.51896 | 620 | 5,960 | 4.882258 | 0.217742 | 0.025768 | 0.042947 | 0.041625 | 0.428477 | 0.358441 | 0.346878 | 0.286092 | 0.267592 | 0.169805 | 0 | 0.007055 | 0.357886 | 5,960 | 169 | 134 | 35.266272 | 0.783904 | 0.08104 | 0 | 0.308943 | 0 | 0 | 0.158011 | 0 | 0 | 0 | 0 | 0.005917 | 0 | 1 | 0.081301 | false | 0 | 0.04065 | 0 | 0.219512 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13f2af320410f86bedc3a6ddc8c44eb547f14053 | 252 | py | Python | raspagem/random/lista_cidades.py | sslppractice/propython | fa470c3bf0dcfbb26037146d77c7491596cabb26 | [
"MIT"
] | null | null | null | raspagem/random/lista_cidades.py | sslppractice/propython | fa470c3bf0dcfbb26037146d77c7491596cabb26 | [
"MIT"
] | null | null | null | raspagem/random/lista_cidades.py | sslppractice/propython | fa470c3bf0dcfbb26037146d77c7491596cabb26 | [
"MIT"
] | null | null | null | import requests, json
url = 'http://educacao.dadosabertosbr.com/api/cidades/ce'
cidades = requests.get(url).content
cidades = cidades.decode('utf-8')
cidades = json.loads(cidades)
for cidade in cidades:
codigo, nome = cidade.split(':')
print(nome)
| 22.909091 | 57 | 0.734127 | 35 | 252 | 5.285714 | 0.685714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004464 | 0.111111 | 252 | 10 | 58 | 25.2 | 0.821429 | 0 | 0 | 0 | 0 | 0 | 0.218254 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13f3a6d9012ba4c4473a1ffb1f1db1418326ee1f | 7,566 | py | Python | src/autonomous/purepursuit.py | Sloomey/DeepSpace2019 | dda035c0ac100209b03a2ff04d86df09c6de9a85 | [
"MIT"
] | null | null | null | src/autonomous/purepursuit.py | Sloomey/DeepSpace2019 | dda035c0ac100209b03a2ff04d86df09c6de9a85 | [
"MIT"
] | null | null | null | src/autonomous/purepursuit.py | Sloomey/DeepSpace2019 | dda035c0ac100209b03a2ff04d86df09c6de9a85 | [
"MIT"
] | null | null | null | import math
from constants import Constants
from utils import vector2d
from wpilib import SmartDashboard as Dash
from autonomous import pursuitpoint
class PurePursuit():
"""An implementation of the Pure Pursuit path tracking algorithm."""
def __init__(self, path):
self.path = path
self.pursui... | 50.10596 | 178 | 0.655432 | 886 | 7,566 | 5.455982 | 0.216704 | 0.045511 | 0.070335 | 0.029789 | 0.235416 | 0.195283 | 0.13736 | 0.081092 | 0.055027 | 0.033099 | 0 | 0.014137 | 0.252049 | 7,566 | 150 | 179 | 50.44 | 0.840078 | 0.266191 | 0 | 0.086538 | 0 | 0 | 0.00977 | 0 | 0 | 0 | 0 | 0.006667 | 0 | 1 | 0.105769 | false | 0 | 0.048077 | 0 | 0.211538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13f4c5d6b839fc74a59e3720afa044833541c6ea | 8,661 | py | Python | esphome/voluptuous_schema.py | TheEggi/esphomeyaml | 98e8cc1edc7b29891e8100eb484922e5c2d4fc33 | [
"MIT"
] | null | null | null | esphome/voluptuous_schema.py | TheEggi/esphomeyaml | 98e8cc1edc7b29891e8100eb484922e5c2d4fc33 | [
"MIT"
] | null | null | null | esphome/voluptuous_schema.py | TheEggi/esphomeyaml | 98e8cc1edc7b29891e8100eb484922e5c2d4fc33 | [
"MIT"
] | null | null | null | import difflib
import itertools
import voluptuous as vol
from esphome.py_compat import string_types
class ExtraKeysInvalid(vol.Invalid):
def __init__(self, *arg, **kwargs):
self.candidates = kwargs.pop('candidates')
vol.Invalid.__init__(self, *arg, **kwargs)
def ensure_multiple_invalid(err):
... | 43.305 | 99 | 0.564831 | 992 | 8,661 | 4.792339 | 0.240927 | 0.018511 | 0.008414 | 0.015145 | 0.12032 | 0.089188 | 0.053429 | 0.037863 | 0.037863 | 0.017669 | 0 | 0.000362 | 0.362776 | 8,661 | 199 | 100 | 43.522613 | 0.861026 | 0.205173 | 0 | 0.090226 | 0 | 0 | 0.033017 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06015 | false | 0 | 0.030075 | 0 | 0.172932 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13f5928fe05ccf64858c18af5eff2188153c32e0 | 20,738 | py | Python | semisupervised/DensityPeaks.py | dpr1005/Semisupervised-learning-and-instance-selection-methods | 646d9e729c85322e859928e71a3241f2aec6d93d | [
"MIT"
] | 3 | 2021-12-10T09:04:18.000Z | 2022-01-22T15:03:19.000Z | semisupervised/DensityPeaks.py | dpr1005/Semisupervised-learning-and-instance-selection-methods | 646d9e729c85322e859928e71a3241f2aec6d93d | [
"MIT"
] | 107 | 2021-12-02T07:43:11.000Z | 2022-03-31T11:02:46.000Z | semisupervised/DensityPeaks.py | dpr1005/Semisupervised-learning-and-instance-selection-methods | 646d9e729c85322e859928e71a3241f2aec6d93d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Filename: DensityPeaks.py
# @Author: Daniel Puente Ramírez
# @Time: 5/3/22 09:55
# @Version: 4.0
import math
from collections import defaultdict
import numpy as np
import pandas as pd
from sklearn.neighbors import KNeighborsClassifier, NearestNeighbor... | 35.268707 | 86 | 0.580384 | 2,615 | 20,738 | 4.456597 | 0.142639 | 0.014158 | 0.011412 | 0.013214 | 0.252703 | 0.20671 | 0.165866 | 0.136005 | 0.12485 | 0.120817 | 0 | 0.009857 | 0.3347 | 20,738 | 587 | 87 | 35.32879 | 0.834819 | 0.264876 | 0 | 0.165192 | 0 | 0 | 0.020728 | 0 | 0 | 0 | 0 | 0 | 0.00295 | 1 | 0.064897 | false | 0 | 0.032448 | 0 | 0.138643 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13f713d62e74a1cd787ec98b134812d16f5287ea | 933 | py | Python | N-aryTreeLevelOrderTraversal429.py | Bit64L/LeetCode-Python- | 64847cbb1adcaca4561b949e8acc52e8e031a6cb | [
"MIT"
] | null | null | null | N-aryTreeLevelOrderTraversal429.py | Bit64L/LeetCode-Python- | 64847cbb1adcaca4561b949e8acc52e8e031a6cb | [
"MIT"
] | null | null | null | N-aryTreeLevelOrderTraversal429.py | Bit64L/LeetCode-Python- | 64847cbb1adcaca4561b949e8acc52e8e031a6cb | [
"MIT"
] | null | null | null | """
# Definition for a Node.
"""
class TreeNode(object):
def __init__(self, val, children):
self.val = val
self.children = children
class Solution(object):
def levelOrder(self, root):
"""
:type root: Node
:rtype: List[List[int]]
"""
if root is None:
... | 20.733333 | 39 | 0.485531 | 103 | 933 | 4.359223 | 0.436893 | 0.040089 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022569 | 0.382637 | 933 | 44 | 40 | 21.204545 | 0.756944 | 0.069668 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.034483 | 0 | 0.241379 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13f7593938a4204f0e27844ca0c493ca0b47ec5f | 16,444 | py | Python | plugin.video.team.milhanos/websocket/_core.py | akuala/REPO.KUALA | ea9a157025530d2ce8fa0d88431c46c5352e89d4 | [
"Apache-2.0"
] | 2 | 2018-11-02T19:55:30.000Z | 2020-08-14T02:22:20.000Z | venv/lib/python3.5/site-packages/websocket/_core.py | dukakisxyz/wifiportal21-map | 1f1917c2f3c2987f7a88cc537d7c50449d144ea0 | [
"MIT"
] | null | null | null | venv/lib/python3.5/site-packages/websocket/_core.py | dukakisxyz/wifiportal21-map | 1f1917c2f3c2987f7a88cc537d7c50449d144ea0 | [
"MIT"
] | 3 | 2019-12-17T20:47:00.000Z | 2021-02-11T19:03:59.000Z | """
websocket - WebSocket client library for Python
Copyright (C) 2010 Hiroki Ohtani(liris)
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, ... | 33.490835 | 90 | 0.589698 | 1,909 | 16,444 | 4.964379 | 0.199057 | 0.021948 | 0.020893 | 0.007386 | 0.385037 | 0.357497 | 0.305476 | 0.281629 | 0.257993 | 0.224755 | 0 | 0.006302 | 0.324495 | 16,444 | 490 | 91 | 33.559184 | 0.846867 | 0.43189 | 0 | 0.325 | 0 | 0 | 0.027961 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.14 | false | 0.01 | 0.08 | 0.025 | 0.37 | 0.005 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13f9663c3671ee791e1374fc1c550b7438edff48 | 1,033 | py | Python | tests/base_tests/polygon_tests/test_contains.py | lycantropos/gon | b3f811ece5989d1623b17d633a84071fbff6dd69 | [
"MIT"
] | 10 | 2020-07-18T12:55:52.000Z | 2022-03-20T07:09:10.000Z | tests/base_tests/polygon_tests/test_contains.py | lycantropos/gon | b3f811ece5989d1623b17d633a84071fbff6dd69 | [
"MIT"
] | 52 | 2019-07-11T16:59:01.000Z | 2022-03-29T19:41:59.000Z | tests/base_tests/polygon_tests/test_contains.py | lycantropos/gon | b3f811ece5989d1623b17d633a84071fbff6dd69 | [
"MIT"
] | 1 | 2020-03-22T12:56:07.000Z | 2020-03-22T12:56:07.000Z | from typing import Tuple
from hypothesis import given
from gon.base import (Point,
Polygon)
from tests.utils import (equivalence,
implication)
from . import strategies
@given(strategies.polygons)
def test_vertices(polygon: Polygon) -> None:
assert all(vertex in pol... | 26.487179 | 72 | 0.708616 | 127 | 1,033 | 5.598425 | 0.283465 | 0.101266 | 0.090014 | 0.04782 | 0.371308 | 0.371308 | 0.295359 | 0.182841 | 0.182841 | 0.182841 | 0 | 0 | 0.224589 | 1,033 | 38 | 73 | 27.184211 | 0.88764 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 1 | 0.12 | false | 0 | 0.2 | 0 | 0.32 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9141fcf42d65abf107a484255f641db4d6e639b | 3,249 | py | Python | examples/canvas/bezier.py | sirpercival/kivy | 29ef854a200e6764aae60ea29324379c69d271a3 | [
"MIT"
] | 2 | 2015-10-26T12:35:37.000Z | 2020-11-26T12:06:09.000Z | examples/canvas/bezier.py | sirpercival/kivy | 29ef854a200e6764aae60ea29324379c69d271a3 | [
"MIT"
] | null | null | null | examples/canvas/bezier.py | sirpercival/kivy | 29ef854a200e6764aae60ea29324379c69d271a3 | [
"MIT"
] | 3 | 2015-07-18T11:03:59.000Z | 2018-03-17T01:32:42.000Z | #!/usr/bin/env python
from kivy.app import App
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.slider import Slider
from kivy.graphics import Color, Bezier, Line
class BezierTest(FloatLayout):
def __init__(self, points=[], loop=False, *args, **kwargs):
super(BezierTest, self).__init__(*args, *... | 33.84375 | 82 | 0.544783 | 434 | 3,249 | 3.926267 | 0.221198 | 0.070423 | 0.056338 | 0.035211 | 0.461854 | 0.394953 | 0.326878 | 0.290493 | 0.216549 | 0.216549 | 0 | 0.038763 | 0.333026 | 3,249 | 95 | 83 | 34.2 | 0.747577 | 0.037242 | 0 | 0.136986 | 0 | 0 | 0.003202 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09589 | false | 0 | 0.068493 | 0 | 0.287671 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b918984647c67e09bce945847905654d35530277 | 15,886 | py | Python | tests/test_pyclipper.py | odidev/pyclipper | 3de54fa4c4d5b8efeede364fbe69336f935f88f2 | [
"MIT"
] | null | null | null | tests/test_pyclipper.py | odidev/pyclipper | 3de54fa4c4d5b8efeede364fbe69336f935f88f2 | [
"MIT"
] | null | null | null | tests/test_pyclipper.py | odidev/pyclipper | 3de54fa4c4d5b8efeede364fbe69336f935f88f2 | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""
Tests for Pyclipper wrapper library.
"""
from __future__ import print_function
from unittest2 import TestCase, main
import sys
if sys.version_info < (3,):
integer_types = (int, long)
else:
integer_types = (int,)
import pyclipper
# Example polygons from http://www.angusj.com/delphi/clip... | 34.914286 | 111 | 0.660078 | 1,990 | 15,886 | 5.080905 | 0.149246 | 0.032539 | 0.021363 | 0.008901 | 0.485808 | 0.419147 | 0.325784 | 0.265849 | 0.235189 | 0.209277 | 0 | 0.029281 | 0.234672 | 15,886 | 454 | 112 | 34.991189 | 0.802352 | 0.045701 | 0 | 0.330247 | 0 | 0 | 0.026948 | 0.002913 | 0 | 0 | 0 | 0 | 0.231481 | 1 | 0.197531 | false | 0 | 0.021605 | 0 | 0.274691 | 0.003086 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b919ab13ac46e733a617fc950c062280033c20b8 | 439 | py | Python | MAEnv/env_SingleCatchPigs/test_SingleCatchPigs.py | Abluceli/Multi-agent-Reinforcement-Learning-Algorithms | 15810a559e2f2cf9e5fcb158c083f9e9dd6012fc | [
"MIT"
] | 5 | 2020-05-25T03:08:09.000Z | 2022-02-27T05:57:28.000Z | MAEnv/env_SingleCatchPigs/test_SingleCatchPigs.py | Abluceli/Multi-agent-Reinforcement-Learning-Algorithms | 15810a559e2f2cf9e5fcb158c083f9e9dd6012fc | [
"MIT"
] | 1 | 2020-12-22T01:35:36.000Z | 2022-01-28T01:51:06.000Z | MAEnv/env_SingleCatchPigs/test_SingleCatchPigs.py | Abluceli/Multi-agent-Reinforcement-Learning-Algorithms | 15810a559e2f2cf9e5fcb158c083f9e9dd6012fc | [
"MIT"
] | 1 | 2020-05-06T01:56:55.000Z | 2020-05-06T01:56:55.000Z | from env_SingleCatchPigs import EnvSingleCatchPigs
import random
env = EnvSingleCatchPigs(7)
max_iter = 10000
env.set_agent_at([2, 2], 0)
env.set_pig_at([4, 4], 0)
for i in range(max_iter):
print("iter= ", i)
env.render()
action = random.randint(0, 4)
print('action is', action)
reward, done = env.s... | 24.388889 | 50 | 0.658314 | 66 | 439 | 4.272727 | 0.484848 | 0.106383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042735 | 0.200456 | 439 | 17 | 51 | 25.823529 | 0.760684 | 0 | 0 | 0 | 0 | 0 | 0.086758 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 0.266667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b91c1523d70c0416c1afa5a4c6a25a3d2f1e426b | 3,417 | py | Python | eust/tables/data.py | rasmuse/eust | 2138076d52c0ffa20fba10e4e0319dd50c4e8a91 | [
"MIT"
] | 1 | 2021-03-14T04:06:02.000Z | 2021-03-14T04:06:02.000Z | eust/tables/data.py | rasmuse/eust | 2138076d52c0ffa20fba10e4e0319dd50c4e8a91 | [
"MIT"
] | 9 | 2019-04-29T09:01:39.000Z | 2021-11-15T17:48:36.000Z | eust/tables/data.py | rasmuse/eust | 2138076d52c0ffa20fba10e4e0319dd50c4e8a91 | [
"MIT"
] | 1 | 2019-10-23T08:56:33.000Z | 2019-10-23T08:56:33.000Z | # -*- coding: utf-8 -*-
import re
import gzip
import pandas as pd
import numpy as np
from eust.core import _download_file, conf
_DIMENSION_NAME_RE = re.compile(r"^[a-z_0-9]+$")
_YEAR_RE = re.compile(r"^(1|2)[0-9]{3}$")
def _is_valid_dimension_name(s: str) -> bool:
return bool(_DIMENSION_NAME_RE.match(s))
d... | 26.695313 | 78 | 0.654375 | 514 | 3,417 | 4.070039 | 0.315175 | 0.021511 | 0.040631 | 0.011472 | 0.060229 | 0.021033 | 0 | 0 | 0 | 0 | 0 | 0.006379 | 0.220076 | 3,417 | 127 | 79 | 26.905512 | 0.778612 | 0.125549 | 0 | 0 | 0 | 0 | 0.047731 | 0 | 0 | 0 | 0 | 0 | 0.064103 | 1 | 0.089744 | false | 0 | 0.064103 | 0.012821 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b91ce0003a23729f5cf4b45b783933c9e0cd6696 | 22,196 | py | Python | utils.py | fatemehtd/Echo-SyncNet | ebb280e83a67b31436c4cfa420f9c06a92ac8c12 | [
"MIT"
] | 6 | 2021-03-19T16:55:30.000Z | 2022-03-15T08:41:56.000Z | utils.py | matiasmolinas/Echo-SyncNet | f7f81ead7a24d7574c0668df3765ef58fd71d54d | [
"MIT"
] | 3 | 2021-10-01T22:15:44.000Z | 2022-03-25T03:12:47.000Z | utils.py | matiasmolinas/Echo-SyncNet | f7f81ead7a24d7574c0668df3765ef58fd71d54d | [
"MIT"
] | 3 | 2021-03-19T16:55:35.000Z | 2022-02-03T10:40:48.000Z |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from config import CONFIG
import json
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt # pylint: disable=g-import-not-at-top
import io
import math
import os
import time
from absl i... | 36.748344 | 113 | 0.621193 | 2,947 | 22,196 | 4.45979 | 0.163217 | 0.02313 | 0.011869 | 0.015826 | 0.297877 | 0.227574 | 0.182987 | 0.160846 | 0.146238 | 0.125618 | 0 | 0.007998 | 0.278969 | 22,196 | 603 | 114 | 36.809287 | 0.813234 | 0.128807 | 0 | 0.202765 | 0 | 0 | 0.060903 | 0 | 0 | 0 | 0 | 0 | 0.011521 | 1 | 0.080645 | false | 0.004608 | 0.036866 | 0.018433 | 0.182028 | 0.004608 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b91d0a28a2d3c169f55ef3fbe14306db5438a499 | 8,468 | py | Python | UnityPy/classes/Sprite.py | dblack2056/UnityPy | 303291e46ddfbf266131237e59e6b1b5c46a9ca4 | [
"MIT"
] | null | null | null | UnityPy/classes/Sprite.py | dblack2056/UnityPy | 303291e46ddfbf266131237e59e6b1b5c46a9ca4 | [
"MIT"
] | null | null | null | UnityPy/classes/Sprite.py | dblack2056/UnityPy | 303291e46ddfbf266131237e59e6b1b5c46a9ca4 | [
"MIT"
] | null | null | null | from enum import IntEnum
from .Mesh import BoneWeights4, SubMesh, VertexData
from .NamedObject import NamedObject
from .PPtr import PPtr, save_ptr
from ..export import SpriteHelper
from ..enums import SpriteMeshType
from ..streams import EndianBinaryWriter
class Sprite(NamedObject):
@property
def image(self)... | 34.563265 | 90 | 0.599906 | 1,003 | 8,468 | 4.879362 | 0.155533 | 0.051083 | 0.026972 | 0.039232 | 0.380057 | 0.263997 | 0.231099 | 0.190437 | 0.087045 | 0.069473 | 0 | 0.042114 | 0.296174 | 8,468 | 244 | 91 | 34.704918 | 0.779027 | 0.05633 | 0 | 0.319372 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000378 | 0 | 0 | 1 | 0.068063 | false | 0 | 0.036649 | 0.010471 | 0.188482 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b91e27e8ce2a32cb1f2fa0c55d35f35399d00f99 | 11,123 | py | Python | eazy/filters.py | albertfxwang/eazy-py | bcfd8a1e49f077adc794202871345542ab29800b | [
"MIT"
] | null | null | null | eazy/filters.py | albertfxwang/eazy-py | bcfd8a1e49f077adc794202871345542ab29800b | [
"MIT"
] | null | null | null | eazy/filters.py | albertfxwang/eazy-py | bcfd8a1e49f077adc794202871345542ab29800b | [
"MIT"
] | null | null | null | import numpy as np
import os
from astropy.table import Table
from . import utils
__all__ = ["FilterDefinition", "FilterFile", "ParamFilter"]
VEGA_FILE = os.path.join(utils.path_to_eazy_data(),
'alpha_lyr_stis_008.fits')
VEGA = Table.read(VEGA_FILE)
for c in VEGA.col... | 30.225543 | 134 | 0.507687 | 1,269 | 11,123 | 4.353822 | 0.22695 | 0.034751 | 0.017919 | 0.01991 | 0.237828 | 0.206878 | 0.1819 | 0.15095 | 0.142262 | 0.115113 | 0 | 0.023102 | 0.37346 | 11,123 | 367 | 135 | 30.307902 | 0.769694 | 0.186281 | 0 | 0.288889 | 0 | 0.005556 | 0.052257 | 0.005914 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.072222 | 0.011111 | 0.272222 | 0.022222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b91e9c056c9dab4c7981c513788ac7b746223cf5 | 672 | py | Python | LeetCode/106.py | KevinTMtz/CompetitiveProgramming | 0bf8a297c404073df707b6d7b06965b055ccd872 | [
"MIT"
] | 1 | 2020-12-08T02:01:18.000Z | 2020-12-08T02:01:18.000Z | LeetCode/106.py | KevinTMtz/CompetitiveProgramming | 0bf8a297c404073df707b6d7b06965b055ccd872 | [
"MIT"
] | null | null | null | LeetCode/106.py | KevinTMtz/CompetitiveProgramming | 0bf8a297c404073df707b6d7b06965b055ccd872 | [
"MIT"
] | null | null | null | #
# LeetCode
#
# Problem - 106
# URL - https://leetcode.com/problems/construct-binary-tree-from-inorder-and-postorder-traversal/
#
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = ri... | 24 | 97 | 0.651786 | 86 | 672 | 5.046512 | 0.476744 | 0.082949 | 0.092166 | 0.115207 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00947 | 0.214286 | 672 | 27 | 98 | 24.888889 | 0.8125 | 0.443452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
b91f064ec51160dd5a168a0ea9d44e81a3af31b7 | 44,880 | py | Python | evalml/automl/automl_search.py | skvorekn/evalml | 2cbfa344ec3fdc0fb0f4a0f1093811135b9b97d8 | [
"BSD-3-Clause"
] | null | null | null | evalml/automl/automl_search.py | skvorekn/evalml | 2cbfa344ec3fdc0fb0f4a0f1093811135b9b97d8 | [
"BSD-3-Clause"
] | null | null | null | evalml/automl/automl_search.py | skvorekn/evalml | 2cbfa344ec3fdc0fb0f4a0f1093811135b9b97d8 | [
"BSD-3-Clause"
] | null | null | null | import copy
import time
from collections import defaultdict
import cloudpickle
import numpy as np
import pandas as pd
import woodwork as ww
from sklearn.model_selection import BaseCrossValidator
from .pipeline_search_plots import PipelineSearchPlots
from evalml.automl.automl_algorithm import IterativeAlgorithm
from ... | 50.145251 | 234 | 0.660561 | 5,347 | 44,880 | 5.309519 | 0.115766 | 0.018175 | 0.010039 | 0.013737 | 0.241811 | 0.147658 | 0.103029 | 0.090525 | 0.061571 | 0.048679 | 0 | 0.002556 | 0.267603 | 44,880 | 894 | 235 | 50.201342 | 0.86115 | 0.228142 | 0 | 0.103565 | 0 | 0.013582 | 0.16504 | 0.027253 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047538 | false | 0.001698 | 0.044143 | 0 | 0.154499 | 0.005093 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b92225fd1fc48f3b53478df0ef2d1501b1d04475 | 1,625 | py | Python | yellowbrick/regressor/base.py | Juan0001/yellowbrick-docs-zh | 36275d9704fc2a946c5bec5f802106bb5281efd1 | [
"Apache-2.0"
] | 20 | 2018-03-24T02:29:20.000Z | 2022-03-03T05:01:40.000Z | yellowbrick/regressor/base.py | Juan0001/yellowbrick-docs-zh | 36275d9704fc2a946c5bec5f802106bb5281efd1 | [
"Apache-2.0"
] | 4 | 2018-03-20T12:01:17.000Z | 2019-04-07T16:02:19.000Z | yellowbrick/regressor/base.py | Juan0001/yellowbrick-docs-zh | 36275d9704fc2a946c5bec5f802106bb5281efd1 | [
"Apache-2.0"
] | 5 | 2018-03-17T08:18:57.000Z | 2019-11-15T02:20:20.000Z | # yellowbrick.regressor.base
# Base classes for regressor Visualizers.
#
# Author: Rebecca Bilbro <rbilbro@districtdatalabs.com>
# Author: Benjamin Bengfort <bbengfort@districtdatalabs.com>
# Created: Fri Jun 03 10:30:36 2016 -0700
#
# Copyright (C) 2016 District Data Labs
# For license information, see LICENSE.tx... | 30.660377 | 79 | 0.582154 | 148 | 1,625 | 6.310811 | 0.608108 | 0.023555 | 0.029979 | 0.049251 | 0.072805 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017738 | 0.167385 | 1,625 | 52 | 80 | 31.25 | 0.672579 | 0.424615 | 0 | 0 | 0 | 0 | 0.197279 | 0.042517 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.214286 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b92247a49fd2631992a5eddee925c5305320a529 | 2,941 | py | Python | contrib/stack/stripmapStack/crossmul.py | falkamelung/isce2 | edea69d4b6216f4ac729eba78f12547807a2751a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | contrib/stack/stripmapStack/crossmul.py | falkamelung/isce2 | edea69d4b6216f4ac729eba78f12547807a2751a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | contrib/stack/stripmapStack/crossmul.py | falkamelung/isce2 | edea69d4b6216f4ac729eba78f12547807a2751a | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-06-05T16:39:25.000Z | 2021-06-05T16:39:25.000Z | #!/usr/bin/env python3
import os
import argparse
import logging
import isce
import isceobj
from components.stdproc.stdproc import crossmul
from iscesys.ImageUtil.ImageUtil import ImageUtil as IU
def createParser():
'''
Command Line Parser.
'''
parser = argparse.ArgumentParser( description='Generat... | 27.485981 | 102 | 0.682761 | 321 | 2,941 | 6.208723 | 0.41433 | 0.022579 | 0.042649 | 0.022077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012632 | 0.192452 | 2,941 | 106 | 103 | 27.745283 | 0.826526 | 0.039102 | 0 | 0 | 0 | 0 | 0.092053 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.1 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b92338655b37aa1b9646d78826676f4639eac7d3 | 550 | py | Python | 27. Remove Element/solution2.py | sunshot/LeetCode | 8f6503201831055f1d49ed3abb25be44a13ec317 | [
"MIT"
] | null | null | null | 27. Remove Element/solution2.py | sunshot/LeetCode | 8f6503201831055f1d49ed3abb25be44a13ec317 | [
"MIT"
] | null | null | null | 27. Remove Element/solution2.py | sunshot/LeetCode | 8f6503201831055f1d49ed3abb25be44a13ec317 | [
"MIT"
] | null | null | null | from typing import List
class Solution:
def removeElement(self, nums: List[int], val: int) -> int:
if not nums:
return 0
curr = 0
n = len(nums)
while curr < n:
if nums[curr] == val:
nums[curr] = nums[n-1]
n -= 1
else... | 23.913043 | 62 | 0.461818 | 66 | 550 | 3.727273 | 0.424242 | 0.02439 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031546 | 0.423636 | 550 | 23 | 63 | 23.913043 | 0.74448 | 0.018182 | 0 | 0 | 0 | 0 | 0.014842 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.25 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9270600c4aae588202efc6c296f0228f4d2527a | 21,441 | py | Python | tensorboard/backend/event_processing/data_provider_test.py | hongxu-jia/tensorboard | 98d4dadc61fd5a0580bed808653c59fb37748893 | [
"Apache-2.0"
] | 1 | 2021-01-07T14:58:47.000Z | 2021-01-07T14:58:47.000Z | tensorboard/backend/event_processing/data_provider_test.py | hongxu-jia/tensorboard | 98d4dadc61fd5a0580bed808653c59fb37748893 | [
"Apache-2.0"
] | null | null | null | tensorboard/backend/event_processing/data_provider_test.py | hongxu-jia/tensorboard | 98d4dadc61fd5a0580bed808653c59fb37748893 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 39.559041 | 80 | 0.583741 | 2,213 | 21,441 | 5.482151 | 0.167646 | 0.032971 | 0.066436 | 0.031322 | 0.601302 | 0.560007 | 0.507089 | 0.482361 | 0.457798 | 0.43785 | 0 | 0.012269 | 0.308148 | 21,441 | 541 | 81 | 39.632163 | 0.805582 | 0.080826 | 0 | 0.462555 | 0 | 0 | 0.068962 | 0 | 0 | 0 | 0 | 0.001848 | 0.171806 | 1 | 0.052863 | false | 0 | 0.048458 | 0 | 0.11674 | 0.002203 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9299565a87f9a052852f5ae8225680eeeb2de61 | 1,923 | py | Python | tests/test_serialize.py | aferrall/redner | be52e4105140f575f153d640ba889eb6e6015616 | [
"MIT"
] | 1,146 | 2018-11-11T01:47:18.000Z | 2022-03-31T14:11:03.000Z | tests/test_serialize.py | Awcrr/redner | b4f57037af26b720d916bbaf26103a3499101a9f | [
"MIT"
] | 177 | 2018-11-13T22:48:25.000Z | 2022-03-30T07:19:29.000Z | tests/test_serialize.py | Awcrr/redner | b4f57037af26b720d916bbaf26103a3499101a9f | [
"MIT"
] | 127 | 2018-11-11T02:32:17.000Z | 2022-03-31T07:24:03.000Z | import pyredner
import numpy as np
import torch
cam = pyredner.Camera(position = torch.tensor([0.0, 0.0, -5.0]),
look_at = torch.tensor([0.0, 0.0, 0.0]),
up = torch.tensor([0.0, 1.0, 0.0]),
fov = torch.tensor([45.0]), # in degree
c... | 34.339286 | 83 | 0.560582 | 264 | 1,923 | 3.962121 | 0.291667 | 0.034417 | 0.031549 | 0.01912 | 0.397706 | 0.381453 | 0.237094 | 0.237094 | 0.237094 | 0.237094 | 0 | 0.077145 | 0.278731 | 1,923 | 55 | 84 | 34.963636 | 0.677001 | 0.01144 | 0 | 0.173913 | 0 | 0 | 0.015806 | 0.015806 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.065217 | 0 | 0.065217 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b92a551001bac345f595f68ea0440f1231ad8e57 | 2,302 | py | Python | src/zope/publisher/tests/test_requestdataproperty.py | Shoobx/zope.publisher | 790e82045d7ae06146bd8c5e27139555b9ec1641 | [
"ZPL-2.1"
] | 3 | 2016-11-18T08:58:09.000Z | 2021-02-01T06:13:45.000Z | src/zope/publisher/tests/test_requestdataproperty.py | Shoobx/zope.publisher | 790e82045d7ae06146bd8c5e27139555b9ec1641 | [
"ZPL-2.1"
] | 42 | 2015-06-02T19:26:10.000Z | 2022-03-15T07:24:03.000Z | src/zope/publisher/tests/test_requestdataproperty.py | Shoobx/zope.publisher | 790e82045d7ae06146bd8c5e27139555b9ec1641 | [
"ZPL-2.1"
] | 7 | 2015-04-03T09:29:31.000Z | 2021-06-07T14:47:45.000Z | ##############################################################################
#
# Copyright (c) 2001, 2002 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# TH... | 27.404762 | 78 | 0.614683 | 222 | 2,302 | 6.337838 | 0.504505 | 0.017058 | 0.019901 | 0.039801 | 0.098081 | 0.098081 | 0.098081 | 0.098081 | 0.098081 | 0.098081 | 0 | 0.005679 | 0.235013 | 2,302 | 83 | 79 | 27.73494 | 0.793299 | 0.212858 | 0 | 0.26087 | 0 | 0 | 0.074436 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 1 | 0.108696 | false | 0.043478 | 0.065217 | 0.021739 | 0.413043 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b92b002b9d57e933962f9291a749b365792c1b9a | 1,444 | py | Python | src/thornfield/caches/cache_compression_decorator.py | drorvinkler/thornfield | 3c5bb8afaa96097bc71cccb119394a0f351d828f | [
"MIT"
] | 2 | 2020-11-24T13:27:14.000Z | 2020-11-24T13:29:40.000Z | src/thornfield/caches/cache_compression_decorator.py | drorvinkler/thornfield | 3c5bb8afaa96097bc71cccb119394a0f351d828f | [
"MIT"
] | 1 | 2020-11-24T13:33:45.000Z | 2020-11-24T15:10:41.000Z | src/thornfield/caches/cache_compression_decorator.py | drorvinkler/thornfield | 3c5bb8afaa96097bc71cccb119394a0f351d828f | [
"MIT"
] | null | null | null | from typing import Callable, AnyStr, Optional
from zlib import compress as default_compress, decompress as default_decompress
from .cache import Cache
from ..constants import NOT_FOUND
class CacheCompressionDecorator(Cache):
def __init__(
self,
cache: Cache,
compress: Optional[Callable[[s... | 29.469388 | 79 | 0.628809 | 160 | 1,444 | 5.45 | 0.275 | 0.068807 | 0.029817 | 0.041284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001905 | 0.272853 | 1,444 | 48 | 80 | 30.083333 | 0.828571 | 0 | 0 | 0.128205 | 0 | 0 | 0.006925 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.102564 | 0.076923 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b92be50c97841e71ffe31a7d7baa405cc9ba5537 | 38,846 | py | Python | manim/mobject/vector_field.py | kdkasad/manim | 249b1dcab0f18a43e953b5fda517734084c0a941 | [
"MIT"
] | 2 | 2021-12-07T14:25:07.000Z | 2021-12-09T14:16:10.000Z | manim/mobject/vector_field.py | kdkasad/manim | 249b1dcab0f18a43e953b5fda517734084c0a941 | [
"MIT"
] | 3 | 2021-09-15T08:11:29.000Z | 2021-10-06T02:00:03.000Z | manim/mobject/vector_field.py | kdkasad/manim | 249b1dcab0f18a43e953b5fda517734084c0a941 | [
"MIT"
] | 3 | 2020-04-10T20:38:06.000Z | 2020-09-30T03:03:45.000Z | """Mobjects representing vector fields."""
__all__ = [
"VectorField",
"ArrowVectorField",
"StreamLines",
]
import itertools as it
import random
from math import ceil, floor
from typing import Callable, Iterable, Optional, Sequence, Tuple, Type
import numpy as np
from colour import Color
from PIL import I... | 36.96099 | 185 | 0.57298 | 4,720 | 38,846 | 4.567161 | 0.1125 | 0.032147 | 0.026627 | 0.013221 | 0.425291 | 0.375006 | 0.353853 | 0.323422 | 0.30649 | 0.299253 | 0 | 0.010795 | 0.341837 | 38,846 | 1,050 | 186 | 36.99619 | 0.832362 | 0.438604 | 0 | 0.351351 | 0 | 0 | 0.022145 | 0 | 0 | 0 | 0 | 0.002857 | 0 | 1 | 0.049896 | false | 0.004158 | 0.045738 | 0.004158 | 0.137214 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b92e1fb5ed102dbd1d7dc2d4b0ef720e265a976f | 1,045 | py | Python | electrum_trc/scripts/txradar.py | TheSin-/electrum-trc | d2f5b15fd4399a9248cce0d63e20128f3f54e69c | [
"MIT"
] | 1 | 2019-08-20T18:05:32.000Z | 2019-08-20T18:05:32.000Z | electrum_trc/scripts/txradar.py | TheSin-/electrum-trc | d2f5b15fd4399a9248cce0d63e20128f3f54e69c | [
"MIT"
] | 1 | 2022-03-14T19:45:31.000Z | 2022-03-14T19:45:31.000Z | electrum_trc/scripts/txradar.py | TheSin-/electrum-trc | d2f5b15fd4399a9248cce0d63e20128f3f54e69c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import asyncio
from electrum_trc.network import filter_protocol, Network
from electrum_trc.util import create_and_start_event_loop, log_exceptions
try:
txid = sys.argv[1]
except:
print("usage: txradar txid")
sys.exit(1)
loop, stopping_fut, loop_thread = create_and_star... | 28.243243 | 99 | 0.675598 | 138 | 1,045 | 4.949275 | 0.543478 | 0.035139 | 0.043924 | 0.055637 | 0.06735 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019277 | 0.205742 | 1,045 | 36 | 100 | 29.027778 | 0.803614 | 0.020096 | 0 | 0.071429 | 0 | 0 | 0.117302 | 0.025415 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.107143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b92ef9143bb84fe6d37501129ff559d015cf231e | 1,091 | py | Python | jp.atcoder/dp/dp_g/24586988.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-09T03:06:25.000Z | 2022-02-09T03:06:25.000Z | jp.atcoder/dp/dp_g/24586988.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-05T22:53:18.000Z | 2022-02-09T01:29:30.000Z | jp.atcoder/dp/dp_g/24586988.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | null | null | null | import sys
import typing
import numpy as np
def solve(
n: int,
g: np.array,
) -> typing.NoReturn:
indeg = np.zeros(
n,
dtype=np.int64,
)
for v in g[:, 1]:
indeg[v] += 1
g = g[g[:, 0].argsort()]
i = np.searchsorted(
g[:, 0],
np.arange(n + 1)
)
q = [
v for v in range(n)
if... | 13.810127 | 30 | 0.505041 | 172 | 1,091 | 3.162791 | 0.372093 | 0.044118 | 0.066176 | 0.047794 | 0.084559 | 0.084559 | 0.084559 | 0 | 0 | 0 | 0 | 0.02969 | 0.320807 | 1,091 | 78 | 31 | 13.987179 | 0.704453 | 0 | 0 | 0.079365 | 0 | 0 | 0.019248 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031746 | false | 0 | 0.095238 | 0 | 0.126984 | 0.015873 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b930187de467bdc99d38231d4b217f6589a62613 | 2,039 | py | Python | starteMessung.py | jkerpe/TroubleBubble | 813ad797398b9f338f136bcb96c6c92186d92ebf | [
"MIT"
] | null | null | null | starteMessung.py | jkerpe/TroubleBubble | 813ad797398b9f338f136bcb96c6c92186d92ebf | [
"MIT"
] | null | null | null | starteMessung.py | jkerpe/TroubleBubble | 813ad797398b9f338f136bcb96c6c92186d92ebf | [
"MIT"
] | 1 | 2021-08-09T14:57:57.000Z | 2021-08-09T14:57:57.000Z | from datetime import datetime
from pypylon import pylon
import nimmAuf
import smbus2
import os
import argparse
import bestimmeVolumen
from threading import Thread
import time
programmstart = time.time()
# Argumente parsen (bei Aufruf im Terminal z.B. 'starteMessung.py -n 100' eingeben)
ap = argparse.ArgumentParser(de... | 34.559322 | 169 | 0.703776 | 254 | 2,039 | 5.570866 | 0.570866 | 0.016961 | 0.018375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022975 | 0.188818 | 2,039 | 58 | 170 | 35.155172 | 0.832527 | 0.172143 | 0 | 0 | 0 | 0.025641 | 0.299166 | 0.027414 | 0 | 0 | 0.002384 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.25641 | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b93050ad4c3c78860eb79accbddb8566a673cb7e | 3,211 | py | Python | application/services/decart.py | Sapfir0/web-premier-eye | f060b01e98a923374ea60360ba133caaa654b6c7 | [
"MIT"
] | null | null | null | application/services/decart.py | Sapfir0/web-premier-eye | f060b01e98a923374ea60360ba133caaa654b6c7 | [
"MIT"
] | null | null | null | application/services/decart.py | Sapfir0/web-premier-eye | f060b01e98a923374ea60360ba133caaa654b6c7 | [
"MIT"
] | 1 | 2020-01-06T18:27:45.000Z | 2020-01-06T18:27:45.000Z | import os
import tempfile
def hasOnePointInside(bigRect, minRect): # хотя бы одна точка лежит внутри
minY, minX, maxY, maxX = bigRect
y1, x1, y2, x2 = minRect
a = (minY <= y1 <= maxY)
b = (minX <= x1 <= maxX)
c = (minY <= y2 <= maxY)
d = (minX <= x2 <= maxX)
return a or b or c or d
d... | 28.927928 | 117 | 0.62753 | 408 | 3,211 | 4.92402 | 0.392157 | 0.029866 | 0.041812 | 0.011946 | 0.092583 | 0.092583 | 0.065704 | 0.065704 | 0.065704 | 0.065704 | 0 | 0.017307 | 0.262224 | 3,211 | 110 | 118 | 29.190909 | 0.83073 | 0.094986 | 0 | 0.15 | 0 | 0 | 0.057686 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1375 | false | 0 | 0.075 | 0.075 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
b931a37de7e1f1ed0fc213effed503351b163f01 | 9,946 | py | Python | goopylib/objects/_BBox.py | BhavyeMathur/goopylib | f9eb1458e9218a8dd4add6693ce70b804624bf91 | [
"MIT"
] | 25 | 2020-07-09T10:57:16.000Z | 2022-02-06T10:31:34.000Z | goopylib/objects/_BBox.py | BhavyeMathur/goopy | f9eb1458e9218a8dd4add6693ce70b804624bf91 | [
"MIT"
] | 48 | 2020-07-02T20:08:40.000Z | 2020-07-06T16:09:25.000Z | goopylib/objects/_BBox.py | BhavyeMathur/goopy | f9eb1458e9218a8dd4add6693ce70b804624bf91 | [
"MIT"
] | 1 | 2020-12-01T13:45:53.000Z | 2020-12-01T13:45:53.000Z | from goopylib.objects.GraphicsObject import GraphicsObject
from goopylib.styles import *
class BBox(GraphicsObject):
# Internal base class for objects represented by bounding box
# (opposite corners) Line segment is a degenerate case.
resizing_objects = []
def __init__(self, p1, p2, bounds=None, fi... | 37.81749 | 122 | 0.594008 | 1,426 | 9,946 | 4.037868 | 0.095372 | 0.047933 | 0.020667 | 0.016672 | 0.659083 | 0.613234 | 0.597951 | 0.536124 | 0.484022 | 0.456929 | 0 | 0.034951 | 0.289463 | 9,946 | 262 | 123 | 37.961832 | 0.779822 | 0.129801 | 0 | 0.397849 | 0 | 0 | 0.120204 | 0.0051 | 0 | 0 | 0 | 0 | 0 | 1 | 0.155914 | false | 0.005376 | 0.010753 | 0.091398 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b931c0b51c15ef9d8f1fe028562964e4cc16bd70 | 670 | py | Python | Graph/DFS&BFS.py | Mayner0220/Programmers | 42e4783a526506fb7d8208841a76201909ed5c5c | [
"Apache-2.0"
] | 1 | 2021-04-01T06:19:02.000Z | 2021-04-01T06:19:02.000Z | Graph/DFS&BFS.py | Mayner0220/Programmers | 42e4783a526506fb7d8208841a76201909ed5c5c | [
"Apache-2.0"
] | null | null | null | Graph/DFS&BFS.py | Mayner0220/Programmers | 42e4783a526506fb7d8208841a76201909ed5c5c | [
"Apache-2.0"
] | null | null | null | # https://www.acmicpc.net/problem/1260
n, m, v = map(int, input().split())
graph = [[0] * (n+1) for _ in range(n+1)]
visit = [False] * (n+1)
for _ in range(m):
R, C = map(int, input().split())
graph[R][C] = 1
graph[C][R] = 1
def dfs(v):
visit[v] = True
print(v, end=" ")
for i in range(1, n+... | 19.142857 | 43 | 0.470149 | 114 | 670 | 2.745614 | 0.324561 | 0.031949 | 0.070288 | 0.102236 | 0.479233 | 0.268371 | 0.268371 | 0.159744 | 0.159744 | 0.159744 | 0 | 0.037778 | 0.328358 | 670 | 35 | 44 | 19.142857 | 0.657778 | 0.053731 | 0 | 0.153846 | 0 | 0 | 0.00316 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.076923 | 0.115385 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b932e9aa7c1cc0da8573d5baaf3b16b4549529cd | 347 | py | Python | coding_intereview/1576. Replace All ?'s to Avoid Consecutive Repeating Characters.py | Jahidul007/Python-Bootcamp | 3c870587465ff66c2c1871c8d3c4eea72463abda | [
"MIT"
] | 2 | 2020-12-07T16:07:07.000Z | 2020-12-07T16:08:53.000Z | coding_intereview/1576. Replace All ?'s to Avoid Consecutive Repeating Characters.py | purusharthmalik/Python-Bootcamp | 2ed1cf886d1081de200b0fdd4cb4e28008c7e3d1 | [
"MIT"
] | null | null | null | coding_intereview/1576. Replace All ?'s to Avoid Consecutive Repeating Characters.py | purusharthmalik/Python-Bootcamp | 2ed1cf886d1081de200b0fdd4cb4e28008c7e3d1 | [
"MIT"
] | 1 | 2020-10-03T16:38:02.000Z | 2020-10-03T16:38:02.000Z | class Solution:
def modifyString(self, s: str) -> str:
s = list(s)
for i in range(len(s)):
if s[i] == "?":
for c in "abc":
if (i == 0 or s[i-1] != c) and (i+1 == len(s) or s[i+1] != c):
s[i] = c
break ... | 31.545455 | 83 | 0.337176 | 49 | 347 | 2.387755 | 0.469388 | 0.068376 | 0.068376 | 0.08547 | 0.102564 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022989 | 0.498559 | 347 | 10 | 84 | 34.7 | 0.649425 | 0 | 0 | 0 | 0 | 0 | 0.011527 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |