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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3a090e5c232242360194af34105d0efa576a5d9f | 6,613 | py | Python | src/test.py | 0shimax/SE-Wavenet | f3cf8239175fec02565c81995e5b9f9e1bbd5eb1 | [
"MIT"
] | null | null | null | src/test.py | 0shimax/SE-Wavenet | f3cf8239175fec02565c81995e5b9f9e1bbd5eb1 | [
"MIT"
] | null | null | null | src/test.py | 0shimax/SE-Wavenet | f3cf8239175fec02565c81995e5b9f9e1bbd5eb1 | [
"MIT"
] | null | null | null | import argparse
from pathlib import Path
import torch
import torch.nn.functional as F
from sklearn.metrics import precision_recall_fscore_support, roc_curve, auc
import matplotlib.pyplot as plt
import numpy as np
from data.data_loader import ActivDataset, loader
from models.focal_loss import FocalLoss
from models.ete_... | 42.121019 | 145 | 0.665356 | 933 | 6,613 | 4.411576 | 0.212219 | 0.072886 | 0.065598 | 0.068027 | 0.353013 | 0.29033 | 0.208698 | 0.16448 | 0.152575 | 0.109815 | 0 | 0.017574 | 0.199758 | 6,613 | 156 | 146 | 42.391026 | 0.760204 | 0 | 0 | 0.04918 | 0 | 0.008197 | 0.111447 | 0.02858 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016393 | false | 0 | 0.090164 | 0 | 0.106557 | 0.204918 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
3a0d56385a100828a93d1a548339d663fa8c3ed6 | 4,031 | py | Python | code/ConvexHull.py | vijindal/cluspand | a3676594354ab59991fe75fccecdc3a400c7b153 | [
"MIT"
] | null | null | null | code/ConvexHull.py | vijindal/cluspand | a3676594354ab59991fe75fccecdc3a400c7b153 | [
"MIT"
] | null | null | null | code/ConvexHull.py | vijindal/cluspand | a3676594354ab59991fe75fccecdc3a400c7b153 | [
"MIT"
] | null | null | null | from structure_helper_class import structure_helper
from model_train_helper_class import model_train_helper
import matplotlib.pyplot as plt
import pandas as pd
from tabulate import tabulate
class convex_hull:
def get_convex_hull_points(structure_name_to_object_map, draw_hull = True, model = None, model_str =... | 47.988095 | 161 | 0.611015 | 521 | 4,031 | 4.516315 | 0.305182 | 0.022949 | 0.044624 | 0.062473 | 0.282618 | 0.266043 | 0.266043 | 0.233744 | 0.162346 | 0.078198 | 0 | 0.007473 | 0.302903 | 4,031 | 83 | 162 | 48.566265 | 0.829893 | 0.127512 | 0 | 0.074074 | 0 | 0 | 0.040051 | 0.00801 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.092593 | 0.018519 | 0.222222 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a0f2160b69e0995f3cc76e9cebbc03eb599b9f1 | 2,077 | py | Python | libra/transaction/script.py | MaslDi/libra-client | 0983adfcb6787f7a16de4bf364cdf5596c183d88 | [
"MIT"
] | null | null | null | libra/transaction/script.py | MaslDi/libra-client | 0983adfcb6787f7a16de4bf364cdf5596c183d88 | [
"MIT"
] | null | null | null | libra/transaction/script.py | MaslDi/libra-client | 0983adfcb6787f7a16de4bf364cdf5596c183d88 | [
"MIT"
] | null | null | null | from canoser import Struct, Uint8, bytes_to_int_list, hex_to_int_list
from libra.transaction.transaction_argument import TransactionArgument, normalize_public_key
from libra.bytecode import bytecodes
from libra.account_address import Address
class Script(Struct):
_fields = [
('code', [Uint8]),
... | 36.438596 | 93 | 0.641791 | 206 | 2,077 | 6.140777 | 0.242718 | 0.142292 | 0.042688 | 0.063241 | 0.38419 | 0.365217 | 0.267984 | 0.180237 | 0.180237 | 0.180237 | 0 | 0.006012 | 0.279249 | 2,077 | 57 | 94 | 36.438596 | 0.839011 | 0 | 0 | 0.32 | 0 | 0 | 0.054896 | 0.02275 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.08 | 0.02 | 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 |
3a110cf9f81c51a45a9e039e2675a3d01dca6237 | 13,818 | py | Python | SourceRepositoryTools/__init__.py | davidbrownell/Common_Environment | 4015872aeac8d5da30a6aa7940e1035a6aa6a75d | [
"BSL-1.0"
] | 1 | 2017-04-25T13:15:10.000Z | 2017-04-25T13:15:10.000Z | SourceRepositoryTools/__init__.py | davidbrownell/Common_Environment | 4015872aeac8d5da30a6aa7940e1035a6aa6a75d | [
"BSL-1.0"
] | null | null | null | SourceRepositoryTools/__init__.py | davidbrownell/Common_Environment | 4015872aeac8d5da30a6aa7940e1035a6aa6a75d | [
"BSL-1.0"
] | null | null | null | # ----------------------------------------------------------------------
# |
# | __init__.py
# |
# | David Brownell <db@DavidBrownell.com>
# | 2018-02-18 14:37:39
# |
# ----------------------------------------------------------------------
# |
# | Copyright David Brownell 2018.
# | Distribute... | 45.453947 | 285 | 0.481473 | 1,170 | 13,818 | 5.57265 | 0.287179 | 0.018405 | 0.009202 | 0.004141 | 0.094479 | 0.070245 | 0.033742 | 0.033742 | 0.023006 | 0.023006 | 0 | 0.00431 | 0.361919 | 13,818 | 303 | 286 | 45.60396 | 0.735171 | 0.275655 | 0 | 0.098039 | 0 | 0 | 0.03741 | 0.003956 | 0 | 0 | 0 | 0 | 0.03268 | 1 | 0.045752 | false | 0 | 0.130719 | 0 | 0.202614 | 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 |
3a11c774870f73e9df814c0fb0e907ad67a018a8 | 2,075 | py | Python | src/einsteinpy/tests/test_plotting/test_staticgeodesicplotter.py | Ankk98/einsteinpy | e6c3e3939063a7698410163b6de52e499bb3c8ea | [
"MIT"
] | null | null | null | src/einsteinpy/tests/test_plotting/test_staticgeodesicplotter.py | Ankk98/einsteinpy | e6c3e3939063a7698410163b6de52e499bb3c8ea | [
"MIT"
] | null | null | null | src/einsteinpy/tests/test_plotting/test_staticgeodesicplotter.py | Ankk98/einsteinpy | e6c3e3939063a7698410163b6de52e499bb3c8ea | [
"MIT"
] | null | null | null | from unittest import mock
import astropy.units as u
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pytest
from einsteinpy.coordinates import SphericalDifferential
from einsteinpy.plotting import StaticGeodesicPlotter
@pytest.fixture()
def dummy_data():
sph_obj = SphericalDiff... | 28.040541 | 63 | 0.700241 | 313 | 2,075 | 4.361022 | 0.268371 | 0.072527 | 0.052747 | 0.065934 | 0.452015 | 0.428571 | 0.386081 | 0.287912 | 0.287912 | 0.287912 | 0 | 0.021687 | 0.2 | 2,075 | 73 | 64 | 28.424658 | 0.800602 | 0 | 0 | 0.338983 | 0 | 0 | 0.051084 | 0.044819 | 0 | 0 | 0 | 0 | 0.186441 | 1 | 0.101695 | false | 0 | 0.135593 | 0 | 0.254237 | 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 |
3a1626ac2fa1019fb590d26ad03b0ec329ab6d9d | 2,017 | py | Python | deciphon_cli/console/scan.py | EBI-Metagenomics/deciphon-cli | aa090c886db1f4dacc6bc88b46b6ebcecb79eaab | [
"MIT"
] | null | null | null | deciphon_cli/console/scan.py | EBI-Metagenomics/deciphon-cli | aa090c886db1f4dacc6bc88b46b6ebcecb79eaab | [
"MIT"
] | null | null | null | deciphon_cli/console/scan.py | EBI-Metagenomics/deciphon-cli | aa090c886db1f4dacc6bc88b46b6ebcecb79eaab | [
"MIT"
] | null | null | null | from enum import Enum
import typer
from fasta_reader import read_fasta
from deciphon_cli.core import ScanPost, SeqPost
from deciphon_cli.requests import get_json, get_plain, post_json
__all__ = ["app"]
app = typer.Typer()
class ScanIDType(str, Enum):
SCAN_ID = "scan_id"
JOB_ID = "job_id"
@app.command()
... | 24.901235 | 84 | 0.67526 | 307 | 2,017 | 4.228013 | 0.214984 | 0.087827 | 0.100154 | 0.124807 | 0.432203 | 0.411402 | 0.320493 | 0.320493 | 0.298921 | 0.298921 | 0 | 0.001735 | 0.142786 | 2,017 | 80 | 85 | 25.2125 | 0.748988 | 0 | 0 | 0.226415 | 0 | 0 | 0.11651 | 0.090729 | 0 | 0 | 0 | 0 | 0 | 1 | 0.188679 | false | 0 | 0.09434 | 0 | 0.339623 | 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 |
3a163271adf00fd1d184016bb403b5d130a4068f | 1,655 | py | Python | neuralmaterial/lib/models/vgg.py | NejcHirci/material-addon | c08e2081413c3319b712c2f7193ac8013f601382 | [
"MIT"
] | 4 | 2022-01-31T14:26:39.000Z | 2022-02-06T06:34:27.000Z | neuralmaterial/lib/models/vgg.py | NejcHirci/material_addon | c08e2081413c3319b712c2f7193ac8013f601382 | [
"MIT"
] | 2 | 2022-01-30T10:35:04.000Z | 2022-01-30T10:35:04.000Z | neuralmaterial/lib/models/vgg.py | NejcHirci/material-addon | c08e2081413c3319b712c2f7193ac8013f601382 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from torch.hub import load_state_dict_from_url
class VGG(nn.Module):
def __init__(self, features, pretrained):
super(VGG, self).__init__()
self.features = features
if not pretrained:
self._initialize_weights()
def _initialize_weights(sel... | 33.77551 | 113 | 0.578852 | 219 | 1,655 | 4.187215 | 0.360731 | 0.039258 | 0.061069 | 0.065431 | 0.175573 | 0.131952 | 0.080698 | 0.080698 | 0.080698 | 0.080698 | 0 | 0.060293 | 0.298489 | 1,655 | 48 | 114 | 34.479167 | 0.729544 | 0 | 0 | 0.076923 | 0 | 0 | 0.0429 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102564 | false | 0 | 0.076923 | 0 | 0.25641 | 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 |
3a16bef75430d1f8616b4661d929e57eb96f5d11 | 1,295 | py | Python | quasimodo/cache/file_cache.py | Aunsiels/CSK | c88609bc76d865b4987aaf30ddf1247a2031b1a6 | [
"MIT"
] | 16 | 2019-11-28T13:26:37.000Z | 2022-02-09T09:53:10.000Z | quasimodo/cache/file_cache.py | Aunsiels/CSK | c88609bc76d865b4987aaf30ddf1247a2031b1a6 | [
"MIT"
] | 1 | 2021-03-26T20:31:48.000Z | 2021-07-15T08:52:47.000Z | quasimodo/cache/file_cache.py | Aunsiels/CSK | c88609bc76d865b4987aaf30ddf1247a2031b1a6 | [
"MIT"
] | 3 | 2020-08-14T23:23:25.000Z | 2021-12-24T14:02:35.000Z | import os
import shutil
class FileCache(object):
def __init__(self, cache_dir):
self.cache_dir = cache_dir + "/"
if not os.path.exists(self.cache_dir):
os.makedirs(self.cache_dir)
def write_cache(self, query, suggestions):
filename = self.cache_dir + query.replace(" ", "-... | 32.375 | 95 | 0.565251 | 150 | 1,295 | 4.74 | 0.406667 | 0.101266 | 0.135021 | 0.056259 | 0.129395 | 0.129395 | 0.129395 | 0.129395 | 0 | 0 | 0 | 0.0044 | 0.29807 | 1,295 | 39 | 96 | 33.205128 | 0.777778 | 0.030116 | 0 | 0.133333 | 0 | 0 | 0.019139 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.066667 | 0 | 0.366667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a193908dfb0eb3ea9c064b546eae9b145317435 | 10,915 | py | Python | txraft/test_txraft.py | tehasdf/txraft | 860345e4a10d438d3fc69d752f09a06546c92d08 | [
"MIT"
] | null | null | null | txraft/test_txraft.py | tehasdf/txraft | 860345e4a10d438d3fc69d752f09a06546c92d08 | [
"MIT"
] | null | null | null | txraft/test_txraft.py | tehasdf/txraft | 860345e4a10d438d3fc69d752f09a06546c92d08 | [
"MIT"
] | null | null | null | from twisted.internet.defer import succeed
from twisted.internet.task import Clock
from twisted.trial.unittest import TestCase
from txraft import Entry, RaftNode, MockRPC, STATE
from txraft.commands import AppendEntriesCommand, RequestVotesCommand
class MockStoreDontUse(object):
def __init__(self, entries=None):... | 30.319444 | 93 | 0.599542 | 1,155 | 10,915 | 5.586147 | 0.127273 | 0.037663 | 0.026193 | 0.031618 | 0.629107 | 0.609888 | 0.57641 | 0.556107 | 0.532703 | 0.509764 | 0 | 0.026148 | 0.29574 | 10,915 | 359 | 94 | 30.4039 | 0.813191 | 0.006047 | 0 | 0.572464 | 0 | 0 | 0.000738 | 0 | 0 | 0 | 0 | 0 | 0.076087 | 1 | 0.094203 | false | 0 | 0.018116 | 0.01087 | 0.173913 | 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 |
3a19793608f407d01e4af46fb22f949e028fb9e8 | 6,867 | py | Python | prototype/c2dn/script/analysis/extractData.py | Thesys-lab/C2DN | 55aa7fc1cd13ab0c80a9c25aa0288b454616d83c | [
"Apache-2.0"
] | null | null | null | prototype/c2dn/script/analysis/extractData.py | Thesys-lab/C2DN | 55aa7fc1cd13ab0c80a9c25aa0288b454616d83c | [
"Apache-2.0"
] | null | null | null | prototype/c2dn/script/analysis/extractData.py | Thesys-lab/C2DN | 55aa7fc1cd13ab0c80a9c25aa0288b454616d83c | [
"Apache-2.0"
] | null | null | null |
import os, sys
sys.path.append(os.path.expanduser("~/workspace/"))
from pyutils.common import *
def load_fe_metrics(ifilepath):
n_byte_partial_miss, n_req_partial_miss = 0, 0
n_byte_push_chunk, n_byte_chunk_hit, n_req_chunk_hit, n_byte_ICP_chunk = 0, 0, 0, 0
n_req_ICP_chunk, n_req_skip_chunk = 0, 0
... | 42.388889 | 128 | 0.642493 | 1,029 | 6,867 | 3.870748 | 0.119534 | 0.052724 | 0.035149 | 0.07532 | 0.75521 | 0.649761 | 0.584735 | 0.407733 | 0.337183 | 0.26111 | 0 | 0.031653 | 0.231688 | 6,867 | 161 | 129 | 42.652174 | 0.723275 | 0.165866 | 0 | 0.056604 | 0 | 0.009434 | 0.237953 | 0.116348 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018868 | false | 0 | 0.018868 | 0 | 0.04717 | 0.028302 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
3a20f5e777be4409e899dec4e5460fecff5677e0 | 10,325 | py | Python | baselines/baseline_summarunner/main.py | PKULiuHui/LiveBlogSum | b6a22521ee454e649981d70ddca6c89a1bac5a4c | [
"MIT"
] | null | null | null | baselines/baseline_summarunner/main.py | PKULiuHui/LiveBlogSum | b6a22521ee454e649981d70ddca6c89a1bac5a4c | [
"MIT"
] | null | null | null | baselines/baseline_summarunner/main.py | PKULiuHui/LiveBlogSum | b6a22521ee454e649981d70ddca6c89a1bac5a4c | [
"MIT"
] | null | null | null | # coding:utf-8
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.nn.utils import clip_grad_norm_
from torch.utils.data import DataLoader
from tqdm import tqdm
import numpy as np
import math
import re
import sys
from Vocab import Vocab
from Dataset import Dataset
from RNN_RNN import RNN_R... | 36.743772 | 120 | 0.606683 | 1,440 | 10,325 | 4.154167 | 0.168056 | 0.042126 | 0.079572 | 0.011702 | 0.293547 | 0.272651 | 0.242227 | 0.201772 | 0.192076 | 0.1777 | 0 | 0.017273 | 0.254237 | 10,325 | 280 | 121 | 36.875 | 0.75961 | 0.030218 | 0 | 0.209877 | 0 | 0.00823 | 0.088544 | 0.015608 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024691 | false | 0 | 0.061728 | 0.004115 | 0.106996 | 0.032922 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
3a2b8a858ee6da50e87c4cd8bfce4156f67a9cc7 | 844 | py | Python | lgtv.py | aakropotkin/PyWebOSTV | 4c060541b397dc20f79049fa9390c1b6b1a7050b | [
"MIT"
] | null | null | null | lgtv.py | aakropotkin/PyWebOSTV | 4c060541b397dc20f79049fa9390c1b6b1a7050b | [
"MIT"
] | null | null | null | lgtv.py | aakropotkin/PyWebOSTV | 4c060541b397dc20f79049fa9390c1b6b1a7050b | [
"MIT"
] | null | null | null | #! /usr/bin/env nix-shell
#! nix-shell -i python3 -p "[python3] ++ (with pkgs.python37Packages; [ requests future ws4py pytest pylint coveralls twine wheel ])"
# <<END Extended Shebang>>
import json
from pywebostv.discovery import *
from pywebostv.connection import *
from pywebostv.controls import *
with open('/home/... | 28.133333 | 133 | 0.728673 | 104 | 844 | 5.903846 | 0.682692 | 0.063518 | 0.061889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006974 | 0.150474 | 844 | 29 | 134 | 29.103448 | 0.849372 | 0.246446 | 0 | 0 | 0 | 0 | 0.142405 | 0.03481 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.210526 | 0 | 0.210526 | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a2e8191805b6dc90c6ff13576324c98a0708604 | 2,102 | py | Python | lutin_lua.py | generic-library/lua | 1dddc5e025d94bd62ae6ca9e9e3f2cd11ed23a35 | [
"MIT"
] | null | null | null | lutin_lua.py | generic-library/lua | 1dddc5e025d94bd62ae6ca9e9e3f2cd11ed23a35 | [
"MIT"
] | null | null | null | lutin_lua.py | generic-library/lua | 1dddc5e025d94bd62ae6ca9e9e3f2cd11ed23a35 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import realog.debug as debug
import lutin.tools as tools
def get_type():
return "LIBRARY"
def get_desc():
return "Lua interpretic script module"
def get_licence():
return "MIT"
def get_compagny_type():
return "org"
def get_compagny_name():
return "lua"
def get_maintainer():
return "author... | 18.438596 | 58 | 0.569458 | 297 | 2,102 | 3.902357 | 0.340067 | 0.160483 | 0.056946 | 0.038827 | 0.051769 | 0.051769 | 0 | 0 | 0 | 0 | 0 | 0.004941 | 0.229781 | 2,102 | 113 | 59 | 18.60177 | 0.710933 | 0.045195 | 0 | 0.044944 | 0 | 0 | 0.429715 | 0.016008 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089888 | false | 0 | 0.022472 | 0.078652 | 0.202247 | 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 |
3a34c3856763aba4f082175e4e23858129d09e5b | 3,595 | py | Python | civbot/commands/cmd_add_game.py | thyjukki/Civi-Botti-2.0 | 7b9ff6bf3e97b90f61286e7688db731f91365e88 | [
"MIT"
] | null | null | null | civbot/commands/cmd_add_game.py | thyjukki/Civi-Botti-2.0 | 7b9ff6bf3e97b90f61286e7688db731f91365e88 | [
"MIT"
] | 3 | 2020-04-28T09:19:11.000Z | 2021-06-01T23:21:32.000Z | civbot/commands/cmd_add_game.py | thyjukki/Civi-Botti-2.0 | 7b9ff6bf3e97b90f61286e7688db731f91365e88 | [
"MIT"
] | null | null | null | import telegram
from telegram.ext import CommandHandler, ConversationHandler, MessageHandler, \
Filters
from civbot.commands.cmd_cancel import cancel_all
from civbot.models import User, Subscription
SELECT = 1
def add_game(bot, update):
user = User.get_or_none(User.id == update.message.from_user.id)
if... | 28.307087 | 79 | 0.628929 | 406 | 3,595 | 5.44335 | 0.246305 | 0.105882 | 0.081448 | 0.099548 | 0.447511 | 0.367421 | 0.318552 | 0.171041 | 0.125792 | 0.125792 | 0 | 0.002316 | 0.279277 | 3,595 | 126 | 80 | 28.531746 | 0.850637 | 0.007232 | 0 | 0.28866 | 0 | 0 | 0.118587 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030928 | false | 0 | 0.041237 | 0.010309 | 0.185567 | 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 |
3a354a29d377cbf952a940a0b75110dea65c2d7e | 1,355 | py | Python | tutorials/W1D4_Optimization/solutions/W1D4_Tutorial1_Solution_9732cf5a.py | carsen-stringer/course-content-dl | 27749aec56a3d2a43b3890483675ad0338a2680f | [
"CC-BY-4.0",
"BSD-3-Clause"
] | null | null | null | tutorials/W1D4_Optimization/solutions/W1D4_Tutorial1_Solution_9732cf5a.py | carsen-stringer/course-content-dl | 27749aec56a3d2a43b3890483675ad0338a2680f | [
"CC-BY-4.0",
"BSD-3-Clause"
] | null | null | null | tutorials/W1D4_Optimization/solutions/W1D4_Tutorial1_Solution_9732cf5a.py | carsen-stringer/course-content-dl | 27749aec56a3d2a43b3890483675ad0338a2680f | [
"CC-BY-4.0",
"BSD-3-Clause"
] | null | null | null | def rmsprop_update(loss, params, grad_sq, lr=1e-1, alpha=0.8):
"""Perform an RMSprop update on a collection of parameters
Args:
loss (tensor): A scalar tensor containing the loss whose gradient will be computed
params (iterable): Collection of parameters with respect to which we compute gradients
grad_... | 39.852941 | 90 | 0.724723 | 211 | 1,355 | 4.578199 | 0.473934 | 0.037267 | 0.035197 | 0.020704 | 0.109731 | 0.060041 | 0.060041 | 0 | 0 | 0 | 0 | 0.02307 | 0.168266 | 1,355 | 34 | 91 | 39.852941 | 0.834073 | 0.473801 | 0 | 0.133333 | 0 | 0 | 0.141194 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0 | 0 | 0.066667 | 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 |
3a35de756e73312c8d8aa96bb05d403a7ba20ad8 | 4,289 | py | Python | tridentstream/inputs/rfs/handler.py | tridentstream/mediaserver | 5d47d766df2e8dca076e41348062567a569019fd | [
"MIT"
] | 6 | 2020-01-03T14:50:09.000Z | 2021-09-13T01:44:31.000Z | tridentstream/inputs/rfs/handler.py | tidalstream/mediaserver | 5d47d766df2e8dca076e41348062567a569019fd | [
"MIT"
] | null | null | null | tridentstream/inputs/rfs/handler.py | tidalstream/mediaserver | 5d47d766df2e8dca076e41348062567a569019fd | [
"MIT"
] | null | null | null | import logging
from urllib.parse import urljoin
import requests
from thomas import Item, StreamerBase, router
from unplugged import Schema, fields
from twisted.internet import threads
from ...exceptions import NotModifiedException, PathNotFoundException
from ...plugins import InputPlugin
from ...stream import Stream... | 30.41844 | 96 | 0.609466 | 499 | 4,289 | 5.062124 | 0.236473 | 0.038005 | 0.055424 | 0.0673 | 0.289786 | 0.272367 | 0.241489 | 0.164687 | 0.16152 | 0.098179 | 0 | 0.006175 | 0.282583 | 4,289 | 140 | 97 | 30.635714 | 0.814755 | 0.045232 | 0 | 0.165049 | 0 | 0 | 0.087754 | 0.018577 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106796 | false | 0 | 0.087379 | 0.029126 | 0.349515 | 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 |
3a37961a35f717a520a82adff518def2441c92f7 | 2,024 | py | Python | app/main/service/exp_service.py | ayoyin/REST-API | 965cda0f87ba8055ee78e9300ca80d5ed79a41c8 | [
"MIT"
] | 1 | 2021-06-01T14:35:11.000Z | 2021-06-01T14:35:11.000Z | app/main/service/exp_service.py | ayoyin/REST-API | 965cda0f87ba8055ee78e9300ca80d5ed79a41c8 | [
"MIT"
] | 10 | 2021-05-26T22:27:59.000Z | 2021-06-03T21:04:43.000Z | app/main/service/exp_service.py | ayoyin/REST-API | 965cda0f87ba8055ee78e9300ca80d5ed79a41c8 | [
"MIT"
] | null | null | null | from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from model.exp_model import Experience, ExperienceSchema
class ExperienceService(object):
def __init__(self, app:Flask, db:SQLAlchemy) -> None:
self.app = app
self.db = db
self.exp_schema = ExperienceSchema()
... | 31.625 | 83 | 0.682312 | 231 | 2,024 | 5.787879 | 0.203463 | 0.065819 | 0.048616 | 0.056844 | 0.414361 | 0.414361 | 0.314884 | 0.314884 | 0.211668 | 0.211668 | 0 | 0 | 0.228261 | 2,024 | 64 | 84 | 31.625 | 0.855954 | 0.065711 | 0 | 0.414634 | 0 | 0 | 0.042418 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146341 | false | 0 | 0.073171 | 0 | 0.365854 | 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 |
3a393e7c4f3f1d263e29f99079506e54bfc2ef8b | 367 | py | Python | scripts/hackathon/create_evaluable_CAG.py | mikiec84/delphi | 2e517f21e76e334c7dfb14325d25879ddf26d10d | [
"Apache-2.0"
] | 25 | 2018-03-03T11:57:57.000Z | 2022-01-16T21:19:54.000Z | scripts/hackathon/create_evaluable_CAG.py | mikiec84/delphi | 2e517f21e76e334c7dfb14325d25879ddf26d10d | [
"Apache-2.0"
] | 385 | 2018-02-21T16:52:06.000Z | 2022-02-17T07:44:56.000Z | scripts/hackathon/create_evaluable_CAG.py | mikiec84/delphi | 2e517f21e76e334c7dfb14325d25879ddf26d10d | [
"Apache-2.0"
] | 19 | 2018-03-20T01:08:11.000Z | 2021-09-29T01:04:49.000Z | import sys
import pickle
def create_evaluable_CAG(input, output):
with open(input, "rb") as f:
G = pickle.load(f)
G.res = 200
G.assemble_transition_model_from_gradable_adjectives()
G.sample_from_prior()
with open(output, "wb") as f:
pickle.dump(G, f)
if __name__ == "__main__":
... | 24.466667 | 58 | 0.6703 | 56 | 367 | 4.053571 | 0.607143 | 0.132159 | 0.15859 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017123 | 0.20436 | 367 | 14 | 59 | 26.214286 | 0.760274 | 0 | 0 | 0 | 0 | 0 | 0.032698 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.25 | 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 |
3a3c22b7737a192dfe1f9e9024ae59ca8fe3e8e0 | 3,721 | py | Python | inclearn/convnet/my_resnet.py | romilbhardwaj/incremental_learning.pytorch | 77097ef4dd4fc6b6c35d13ef66856d6f8a15598d | [
"MIT"
] | 3 | 2019-07-01T14:43:05.000Z | 2019-12-27T13:26:52.000Z | inclearn/convnet/my_resnet.py | rahulvigneswaran/incremental_learning.pytorch | 786ecda7dbce5977894737d61cd5e3a30f61aac6 | [
"MIT"
] | null | null | null | inclearn/convnet/my_resnet.py | rahulvigneswaran/incremental_learning.pytorch | 786ecda7dbce5977894737d61cd5e3a30f61aac6 | [
"MIT"
] | null | null | null | ''' Incremental-Classifier Learning
Authors : Khurram Javed, Muhammad Talha Paracha
Maintainer : Khurram Javed
Lab : TUKL-SEECS R&D Lab
Email : 14besekjaved@seecs.edu.pk '''
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
class DownsampleStride(nn.Module)... | 27.562963 | 108 | 0.58452 | 514 | 3,721 | 4.068093 | 0.272374 | 0.068388 | 0.014347 | 0.021521 | 0.141081 | 0.0923 | 0.039216 | 0.039216 | 0.039216 | 0.039216 | 0 | 0.030987 | 0.297501 | 3,721 | 134 | 109 | 27.768657 | 0.768937 | 0.097017 | 0 | 0.082353 | 0 | 0 | 0.003352 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.094118 | false | 0 | 0.070588 | 0.023529 | 0.270588 | 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 |
3a3ec3da72c85292efaee127eb5ad56d111e5946 | 2,095 | py | Python | src/nlplib/general/thread.py | rectangletangle/nlplib | 7dcc0daf050a73c03b7d7f0257ad0b862586a6e3 | [
"BSD-2-Clause"
] | 1 | 2015-11-18T12:59:52.000Z | 2015-11-18T12:59:52.000Z | src/nlplib/general/thread.py | rectangletangle/nlplib | 7dcc0daf050a73c03b7d7f0257ad0b862586a6e3 | [
"BSD-2-Clause"
] | null | null | null | src/nlplib/general/thread.py | rectangletangle/nlplib | 7dcc0daf050a73c03b7d7f0257ad0b862586a6e3 | [
"BSD-2-Clause"
] | null | null | null | ''' Tools for dealing with multithreaded programs. '''
from concurrent.futures import ThreadPoolExecutor, as_completed
from nlplib.general.iterate import chunked
__all__ = ['simultaneously']
def simultaneously (function, iterable, max_workers=4) :
''' This runs the given function over the iterable concurrently... | 32.734375 | 119 | 0.673031 | 252 | 2,095 | 5.420635 | 0.503968 | 0.065886 | 0.02489 | 0.04246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010982 | 0.217661 | 2,095 | 63 | 120 | 33.253968 | 0.822453 | 0.178998 | 0 | 0 | 0 | 0 | 0.114813 | 0 | 0 | 0 | 0 | 0 | 0.085714 | 1 | 0.142857 | false | 0.028571 | 0.114286 | 0.028571 | 0.314286 | 0.028571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
3a43287b070e57b4e1131e9830fa7848ee4816f3 | 1,424 | py | Python | appdaemon/apps/exhaust/exhaust.py | Mithras/ha | d37f8673eed27a85f76c97ee3e924d2ddc033ee5 | [
"MIT"
] | 3 | 2019-10-27T06:10:26.000Z | 2020-07-21T01:27:11.000Z | appdaemon/apps/exhaust/exhaust.py | Mithras/ha | d37f8673eed27a85f76c97ee3e924d2ddc033ee5 | [
"MIT"
] | null | null | null | appdaemon/apps/exhaust/exhaust.py | Mithras/ha | d37f8673eed27a85f76c97ee3e924d2ddc033ee5 | [
"MIT"
] | null | null | null | import globals
class Exhaust(globals.Hass):
async def initialize(self):
config = self.args["config"]
self._input = config["input"]
self._temperature = config["temperature"]
self._min_temperature = float(config["min_temperature"])
self._max_temperature = float(config["max_te... | 40.685714 | 85 | 0.614466 | 157 | 1,424 | 5.286624 | 0.267516 | 0.075904 | 0.057831 | 0.06988 | 0.19759 | 0.086747 | 0.086747 | 0 | 0 | 0 | 0 | 0 | 0.278792 | 1,424 | 34 | 86 | 41.882353 | 0.808179 | 0.117978 | 0 | 0.166667 | 0 | 0 | 0.079936 | 0.034373 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.041667 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a4437265de98cfb27b3d5feaa4dc75634628d02 | 2,159 | py | Python | test/test.py | fmaida/rosie | 3906d11231aadaf9095f00fde8a73bc186403660 | [
"MIT"
] | null | null | null | test/test.py | fmaida/rosie | 3906d11231aadaf9095f00fde8a73bc186403660 | [
"MIT"
] | null | null | null | test/test.py | fmaida/rosie | 3906d11231aadaf9095f00fde8a73bc186403660 | [
"MIT"
] | null | null | null | import os
import unittest
from rosie import Rosie
from rosie import DocumentNotFound
# from test import create
# create(100)
class RosieTest(unittest.TestCase):
def setUp(self):
basedir = os.path.join(os.path.expanduser("~"), "Documents",
"Progetti", "HTML-CSS", "rosie-ou... | 35.393443 | 89 | 0.593793 | 247 | 2,159 | 5.105263 | 0.461538 | 0.071372 | 0.031721 | 0.047581 | 0.199048 | 0.154639 | 0.080888 | 0.080888 | 0.080888 | 0.080888 | 0 | 0.015656 | 0.289949 | 2,159 | 61 | 90 | 35.393443 | 0.806915 | 0.126911 | 0 | 0 | 0 | 0 | 0.18709 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.166667 | false | 0.027778 | 0.111111 | 0 | 0.305556 | 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 |
3a44e47df6767fcc400ca98f82e16bb29f7143a3 | 7,728 | py | Python | HeifImagePlugin.py | uploadcare/heif-image-plugin | 164230d08472403b709e2d0c78e8de0207e9312a | [
"MIT"
] | 6 | 2021-12-09T16:57:55.000Z | 2022-03-22T13:34:53.000Z | HeifImagePlugin.py | uploadcare/heif-image-plugin | 164230d08472403b709e2d0c78e8de0207e9312a | [
"MIT"
] | 5 | 2021-11-24T15:59:35.000Z | 2022-03-11T16:29:53.000Z | HeifImagePlugin.py | uploadcare/heif-image-plugin | 164230d08472403b709e2d0c78e8de0207e9312a | [
"MIT"
] | 1 | 2022-02-07T11:59:30.000Z | 2022-02-07T11:59:30.000Z | import inspect
import subprocess
import tempfile
from copy import copy
from weakref import WeakKeyDictionary
import piexif
import pyheif
from cffi import FFI
from PIL import Image, ImageFile
from pyheif.error import HeifError
ffi = FFI()
_keep_refs = WeakKeyDictionary()
pyheif_supports_transformations = (
'trans... | 34.044053 | 84 | 0.62073 | 981 | 7,728 | 4.769623 | 0.320082 | 0.063261 | 0.015388 | 0.013678 | 0.131652 | 0.078008 | 0 | 0 | 0 | 0 | 0 | 0.013057 | 0.276527 | 7,728 | 226 | 85 | 34.19469 | 0.823287 | 0.186077 | 0 | 0.108108 | 0 | 0 | 0.078592 | 0.004822 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047297 | false | 0.006757 | 0.067568 | 0.006757 | 0.175676 | 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 |
3a490f04946e54025d2f9929396fe594e1a1e7a5 | 3,916 | py | Python | utils/comm_mqtt.py | peacemaker07/iot_making_for_raspberry_pi | d37d1256ea99794ff1dde4de0cadcbee1e5d6679 | [
"MIT"
] | null | null | null | utils/comm_mqtt.py | peacemaker07/iot_making_for_raspberry_pi | d37d1256ea99794ff1dde4de0cadcbee1e5d6679 | [
"MIT"
] | null | null | null | utils/comm_mqtt.py | peacemaker07/iot_making_for_raspberry_pi | d37d1256ea99794ff1dde4de0cadcbee1e5d6679 | [
"MIT"
] | null | null | null | import json
import time
from utils.helper import RedisClient
from paho.mqtt.client import MQTT_ERR_SUCCESS
import paho.mqtt.client as mqtt
from utils.date_time import TimeMeasure
import tasks as tasks_mqtt
from utils.message import MsgShadowGet, MsgShadowUpdate
import logging
logger = logging.getLogger()
logger.setL... | 24.628931 | 113 | 0.59142 | 457 | 3,916 | 4.864333 | 0.28884 | 0.031489 | 0.016194 | 0.023392 | 0.138102 | 0.138102 | 0.08457 | 0.08457 | 0.08457 | 0.044984 | 0 | 0.007119 | 0.318437 | 3,916 | 158 | 114 | 24.78481 | 0.825777 | 0.09857 | 0 | 0.25 | 0 | 0 | 0.019056 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.097826 | 0 | 0.336957 | 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 |
3a4b65fb4152f97b12ef78ecb2e26b90659acced | 255 | py | Python | servo-test.py | dthompson-personal/pi-robot-shop | 19ed4bc2727bc1681b7aed906fd95f58cc2f9fbe | [
"MIT"
] | 1 | 2019-01-08T00:12:38.000Z | 2019-01-08T00:12:38.000Z | servo-test.py | dthompson-personal/pi-robot-shop | 19ed4bc2727bc1681b7aed906fd95f58cc2f9fbe | [
"MIT"
] | null | null | null | servo-test.py | dthompson-personal/pi-robot-shop | 19ed4bc2727bc1681b7aed906fd95f58cc2f9fbe | [
"MIT"
] | null | null | null | # simple servo test for PCA9685 with HS422
from servo.servo import *
from time import sleep
pca = PCA9685()
pca.setZero(0)
sleep(2)
for a in xrange(-67,67,1):
pca.setAngle(0,a)
sleep(0.05)
for a in xrange(67,0,-1):
pca.setAngle(0,a)
sleep(0.05)
| 18.214286 | 42 | 0.686275 | 50 | 255 | 3.5 | 0.44 | 0.045714 | 0.068571 | 0.137143 | 0.411429 | 0.251429 | 0.251429 | 0.251429 | 0 | 0 | 0 | 0.141509 | 0.168627 | 255 | 13 | 43 | 19.615385 | 0.683962 | 0.156863 | 0 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a4cbefcb62071a2d988ae8d1ba6c3ebd094217e | 1,386 | py | Python | lists_dictionary/Hello France.py | vasetousa/Python-fundamentals | 3180c03de28b4f4d36d966221719069a7e18e521 | [
"MIT"
] | null | null | null | lists_dictionary/Hello France.py | vasetousa/Python-fundamentals | 3180c03de28b4f4d36d966221719069a7e18e521 | [
"MIT"
] | null | null | null | lists_dictionary/Hello France.py | vasetousa/Python-fundamentals | 3180c03de28b4f4d36d966221719069a7e18e521 | [
"MIT"
] | null | null | null | items = input().split("|") # items to buy
budged = int(input())
profit = 0
profit_price_list = []
profit_list = []
profit_price = 0
for index in items:
profit = 0
profit_price = 0
separator = index.split("->")
if separator[0] == "Clothes":
if not 0 < float(separator[1]) <= 50:
co... | 34.65 | 143 | 0.622655 | 184 | 1,386 | 4.559783 | 0.288043 | 0.144219 | 0.125149 | 0.039333 | 0.075089 | 0.075089 | 0 | 0 | 0 | 0 | 0 | 0.044146 | 0.248196 | 1,386 | 40 | 144 | 34.65 | 0.761036 | 0.165945 | 0 | 0.205128 | 0 | 0 | 0.067015 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.128205 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
3a4f4e40f01a34131b926552b927be814c889324 | 7,875 | py | Python | vision/crop_image_on_faces.py | timmahrt/toybox | 1c063428ba85d26c8d9229b020503f6f57df2219 | [
"MIT"
] | null | null | null | vision/crop_image_on_faces.py | timmahrt/toybox | 1c063428ba85d26c8d9229b020503f6f57df2219 | [
"MIT"
] | null | null | null | vision/crop_image_on_faces.py | timmahrt/toybox | 1c063428ba85d26c8d9229b020503f6f57df2219 | [
"MIT"
] | null | null | null | '''
Created on Sep 8, 2018
Use autocropFaces() to crop out the material around faces in an image,
where the faces are automatically detected.
See the bottom for an example use script.
Used this as a starting reference point:
https://docs.opencv.org/3.3.0/d7/d8b/tutorial_py_face_detection.html
@author: tmahrt
'''
i... | 30.761719 | 133 | 0.610159 | 923 | 7,875 | 5.152763 | 0.312026 | 0.023129 | 0.009462 | 0.003364 | 0.087679 | 0.044155 | 0 | 0 | 0 | 0 | 0 | 0.031831 | 0.289905 | 7,875 | 255 | 134 | 30.882353 | 0.81867 | 0.210032 | 0 | 0.055556 | 0 | 0 | 0.046286 | 0.01186 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097222 | false | 0 | 0.034722 | 0.006944 | 0.208333 | 0.006944 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
3a5276bb48c6b9ee88490cc0b0a29ff3c27d3bba | 2,920 | py | Python | aiida_lsmo/workchains/multistage_ddec.py | ltalirz/aiida-lsmo | 38a839af63686320ab070fada89241860e095b9e | [
"MIT"
] | null | null | null | aiida_lsmo/workchains/multistage_ddec.py | ltalirz/aiida-lsmo | 38a839af63686320ab070fada89241860e095b9e | [
"MIT"
] | null | null | null | aiida_lsmo/workchains/multistage_ddec.py | ltalirz/aiida-lsmo | 38a839af63686320ab070fada89241860e095b9e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""MultistageDdecWorkChain workchain"""
from __future__ import absolute_import
from aiida.plugins import CalculationFactory, DataFactory, WorkflowFactory
from aiida.common import AttributeDict
from aiida.engine import WorkChain, ToContext
# import sub-workchains
Cp2kMultistageWorkChain = Work... | 45.625 | 106 | 0.743151 | 322 | 2,920 | 6.509317 | 0.307453 | 0.038168 | 0.046756 | 0.045802 | 0.238073 | 0.133588 | 0.034351 | 0.034351 | 0 | 0 | 0 | 0.020598 | 0.152055 | 2,920 | 63 | 107 | 46.349206 | 0.825929 | 0.203425 | 0 | 0 | 0 | 0 | 0.131718 | 0.009692 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0 | 0.114286 | 0 | 0.314286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a5286d6d3711424348d457dbffee994d0ef9214 | 2,997 | py | Python | ambari-server/src/test/python/TestServerUtils.py | panfeiyy/ambari | 24077510723ede93d3024784f0b04422adaf56d6 | [
"Apache-2.0"
] | 16 | 2018-05-24T10:28:24.000Z | 2021-08-05T03:13:26.000Z | ambari-server/src/test/python/TestServerUtils.py | panfeiyy/ambari | 24077510723ede93d3024784f0b04422adaf56d6 | [
"Apache-2.0"
] | 8 | 2020-06-18T17:31:19.000Z | 2022-03-02T08:32:03.000Z | ambari-server/src/test/python/TestServerUtils.py | panfeiyy/ambari | 24077510723ede93d3024784f0b04422adaf56d6 | [
"Apache-2.0"
] | 17 | 2018-07-06T08:57:00.000Z | 2021-11-04T11:00:36.000Z | '''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this ... | 38.922078 | 140 | 0.746079 | 428 | 2,997 | 5.030374 | 0.357477 | 0.045982 | 0.046447 | 0.041802 | 0.343242 | 0.266605 | 0.229912 | 0.199257 | 0.158384 | 0.116117 | 0 | 0.019554 | 0.146813 | 2,997 | 76 | 141 | 39.434211 | 0.822448 | 0.295963 | 0 | 0.302326 | 0 | 0 | 0.166667 | 0.051429 | 0 | 0 | 0 | 0 | 0.069767 | 1 | 0.069767 | false | 0 | 0.186047 | 0.023256 | 0.325581 | 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 |
3a533adcbaa3e599ac553a4a4afcfe1138f8018d | 828 | py | Python | docs/md2ipynb.py | RingoIngo/gluon-ts | 62fb20c36025fc969653accaffaa783671709564 | [
"Apache-2.0"
] | 7 | 2021-07-20T21:46:28.000Z | 2022-01-12T04:18:14.000Z | docs/md2ipynb.py | RingoIngo/gluon-ts | 62fb20c36025fc969653accaffaa783671709564 | [
"Apache-2.0"
] | null | null | null | docs/md2ipynb.py | RingoIngo/gluon-ts | 62fb20c36025fc969653accaffaa783671709564 | [
"Apache-2.0"
] | 3 | 2021-08-28T06:01:27.000Z | 2022-01-12T04:18:13.000Z | import sys
import time
from itertools import chain
from pathlib import Path
import nbformat
import notedown
def convert(path, timeout=40 * 60):
with path.open() as in_file:
notebook = notedown.MarkdownReader().read(in_file)
start = time.time()
notedown.run(notebook, timeout)
print(f"=== {pa... | 23.657143 | 78 | 0.669082 | 114 | 828 | 4.72807 | 0.561404 | 0.033395 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008996 | 0.194444 | 828 | 34 | 79 | 24.352941 | 0.7991 | 0.059179 | 0 | 0 | 0 | 0 | 0.145431 | 0 | 0 | 0 | 0 | 0 | 0.047619 | 1 | 0.047619 | false | 0 | 0.285714 | 0 | 0.333333 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
3a5679211ddca25bc7c34ee2ad4a2a92de9f338e | 25,389 | py | Python | kessk_web/device/views.py | yungs2017/kessk-switch | a56c73c756bb88e8ee38b7aa196fd58a4a802341 | [
"BSD-3-Clause"
] | 9 | 2019-09-30T04:24:39.000Z | 2021-07-15T06:08:20.000Z | kessk_web/device/views.py | yungs2017/kessk-switch | a56c73c756bb88e8ee38b7aa196fd58a4a802341 | [
"BSD-3-Clause"
] | 6 | 2020-05-14T03:13:32.000Z | 2022-02-10T10:23:46.000Z | kessk_web/device/views.py | yungs2017/kessk-switch | a56c73c756bb88e8ee38b7aa196fd58a4a802341 | [
"BSD-3-Clause"
] | 2 | 2020-12-19T07:12:01.000Z | 2021-05-24T02:21:15.000Z | # The 3-Clause BSD License
# Copyright (C) 2019, KessK, all rights reserved.
# Copyright (C) 2019, Kison.Y, all rights reserved.
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met:Redistribution and use in source and binary ... | 46.245902 | 194 | 0.65363 | 2,960 | 25,389 | 5.391216 | 0.114527 | 0.058654 | 0.015979 | 0.027071 | 0.633726 | 0.574884 | 0.50589 | 0.449116 | 0.381815 | 0.361073 | 0 | 0.007135 | 0.254795 | 25,389 | 549 | 195 | 46.245902 | 0.836311 | 0.177124 | 0 | 0.410765 | 0 | 0 | 0.063685 | 0.012589 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087819 | false | 0.011331 | 0.048159 | 0 | 0.212465 | 0.022663 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
3a5bc5539f00418441249df40d6f8b47af45d0da | 1,087 | py | Python | examples/boilerplate/render/main.py | Sakuk3/DefCurse | 22c7de689c2d4ec859ca70ecbe0d014034adfadc | [
"MIT"
] | null | null | null | examples/boilerplate/render/main.py | Sakuk3/DefCurse | 22c7de689c2d4ec859ca70ecbe0d014034adfadc | [
"MIT"
] | null | null | null | examples/boilerplate/render/main.py | Sakuk3/DefCurse | 22c7de689c2d4ec859ca70ecbe0d014034adfadc | [
"MIT"
] | null | null | null | import models
from DefCurse import widgets
from DefCurse import style
from DefCurse import area
def render(model: models.Model, rows: int, cols: int):
areas = [
area.Area(
int(rows/2),
int(cols/2),
),
area.Area(
int(rows/2),
int(cols/2),
... | 19.070175 | 54 | 0.420423 | 114 | 1,087 | 3.929825 | 0.263158 | 0.109375 | 0.107143 | 0.122768 | 0.535714 | 0.285714 | 0.267857 | 0.267857 | 0.232143 | 0.178571 | 0 | 0.049488 | 0.460902 | 1,087 | 57 | 55 | 19.070175 | 0.715017 | 0 | 0 | 0.396226 | 0 | 0 | 0.04136 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018868 | false | 0 | 0.075472 | 0 | 0.09434 | 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 |
3a5bd10b62878bb2d6b8444b0e27578b7d011c76 | 579 | py | Python | api/urls.py | cooleo/py_feeds_services | 1d6ccb3695e091d001714aef8af210d6509f03b6 | [
"Apache-2.0"
] | null | null | null | api/urls.py | cooleo/py_feeds_services | 1d6ccb3695e091d001714aef8af210d6509f03b6 | [
"Apache-2.0"
] | null | null | null | api/urls.py | cooleo/py_feeds_services | 1d6ccb3695e091d001714aef8af210d6509f03b6 | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import url, include
from rest_framework import routers
from api.views import UserViewSet, GroupViewSet,FeedViewSet
router = routers.DefaultRouter()
router.register(r'users', UserViewSet)
router.register(r'groups', GroupViewSet)
router.register(r'feeds', FeedViewSet)
router.register(r'category', ... | 34.058824 | 82 | 0.772021 | 76 | 579 | 5.842105 | 0.5 | 0.126126 | 0.135135 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108808 | 579 | 17 | 83 | 34.058824 | 0.860465 | 0.177893 | 0 | 0 | 0 | 0 | 0.14346 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28a42a406aff16efea2049670fcc9c1d85827d10 | 1,512 | py | Python | 3rdparty/cb58ref/setup.py | jgeofil/avax-python | b09e78e3d7e1c35db5ae42e3918e960e775f2d45 | [
"MIT"
] | 25 | 2021-05-16T23:43:47.000Z | 2022-03-29T03:08:30.000Z | setup.py | moreati/cb58ref | c9827f2cdd2eb55c52bc5de91ade573eab9de827 | [
"MIT"
] | 2 | 2021-04-26T11:43:22.000Z | 2021-06-04T07:55:22.000Z | 3rdparty/cb58ref/setup.py | jgeofil/avax-python | b09e78e3d7e1c35db5ae42e3918e960e775f2d45 | [
"MIT"
] | 4 | 2021-08-06T10:55:58.000Z | 2022-03-29T08:03:05.000Z | #!/usr/bin/env python3
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = [
]
setup_requirements = [
'pytest-runner',
]
test_requirements = [
'pytest>... | 26.526316 | 72 | 0.630291 | 166 | 1,512 | 5.608434 | 0.548193 | 0.102041 | 0.134264 | 0.139635 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029813 | 0.223545 | 1,512 | 56 | 73 | 27 | 0.763203 | 0.06746 | 0 | 0 | 0 | 0 | 0.39245 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.023256 | 0 | 0.023256 | 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 |
28a484d541dac8a37bc08470e582fe2e7c7e91cc | 1,009 | py | Python | prepare_ce_data.py | akio-kobayashi/lc_lstm | c5367518ebf56d13a29794d90061fdfb06677e3e | [
"Apache-2.0"
] | null | null | null | prepare_ce_data.py | akio-kobayashi/lc_lstm | c5367518ebf56d13a29794d90061fdfb06677e3e | [
"Apache-2.0"
] | null | null | null | prepare_ce_data.py | akio-kobayashi/lc_lstm | c5367518ebf56d13a29794d90061fdfb06677e3e | [
"Apache-2.0"
] | null | null | null | import argparse
import os
import sys
import subprocess
import time
import numpy as np
import random
import h5py
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--data', type=str, required=True, help='training data')
parser.add_argument('--align', type=str, required=True, help='alignmen... | 30.575758 | 82 | 0.581764 | 124 | 1,009 | 4.612903 | 0.362903 | 0.055944 | 0.089161 | 0.09965 | 0.120629 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00551 | 0.280476 | 1,009 | 32 | 83 | 31.53125 | 0.782369 | 0 | 0 | 0 | 0 | 0 | 0.091179 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.296296 | 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 |
28a65fd5ccf17c9151ab25e19828fabbbeef343e | 627 | py | Python | day04/aoc04_1.py | Dbof/adventofcode17 | 68a390a8601c3421340fa2a59b0497aa76e5f580 | [
"MIT"
] | null | null | null | day04/aoc04_1.py | Dbof/adventofcode17 | 68a390a8601c3421340fa2a59b0497aa76e5f580 | [
"MIT"
] | null | null | null | day04/aoc04_1.py | Dbof/adventofcode17 | 68a390a8601c3421340fa2a59b0497aa76e5f580 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
def has_duplicate(phrase):
seen = set()
words = phrase.split(' ')
for w in words:
if w in seen:
return True
seen.add(w)
return False
def check(text):
count = 0
phrases = text.split('\n')
for p in phr... | 17.416667 | 47 | 0.524721 | 86 | 627 | 3.709302 | 0.581395 | 0.065831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018824 | 0.322169 | 627 | 35 | 48 | 17.914286 | 0.731765 | 0.068581 | 0 | 0 | 0 | 0 | 0.053265 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.043478 | 0 | 0.26087 | 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 |
28a7314d913c35ef3d7bae8ca492ed8ba470e621 | 4,707 | py | Python | setup.py | danmills0/pytket | 4ac62896aa61c11ae1077246ab1931d0a8f9a9ac | [
"Apache-2.0"
] | null | null | null | setup.py | danmills0/pytket | 4ac62896aa61c11ae1077246ab1931d0a8f9a9ac | [
"Apache-2.0"
] | null | null | null | setup.py | danmills0/pytket | 4ac62896aa61c11ae1077246ab1931d0a8f9a9ac | [
"Apache-2.0"
] | null | null | null | import setuptools
from setuptools import setup, Extension, find_packages
from setuptools.command.build_ext import build_ext
import sys
import setuptools
import os
import re
import platform
import subprocess
# from pathlib import Path
from os.path import expanduser, join
from distutils.version import LooseVersion
impor... | 34.866667 | 98 | 0.607818 | 545 | 4,707 | 5.113761 | 0.420183 | 0.010764 | 0.018658 | 0.012917 | 0.072838 | 0.026552 | 0 | 0 | 0 | 0 | 0 | 0.015108 | 0.254727 | 4,707 | 134 | 99 | 35.126866 | 0.779361 | 0.085192 | 0 | 0.09434 | 0 | 0 | 0.249064 | 0.035581 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04717 | false | 0 | 0.122642 | 0 | 0.226415 | 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 |
28a8e0d56673ed011c58970fc2cc9375a3c70f66 | 18,099 | py | Python | u24_lymphocyte/third_party/treeano/sandbox/nodes/resnet.py | ALSM-PhD/quip_classification | 7347bfaa5cf11ae2d7a528fbcc43322a12c795d3 | [
"BSD-3-Clause"
] | 45 | 2015-04-26T04:45:51.000Z | 2022-01-24T15:03:55.000Z | u24_lymphocyte/third_party/treeano/sandbox/nodes/resnet.py | ALSM-PhD/quip_classification | 7347bfaa5cf11ae2d7a528fbcc43322a12c795d3 | [
"BSD-3-Clause"
] | 8 | 2018-07-20T20:54:51.000Z | 2020-06-12T05:36:04.000Z | u24_lymphocyte/third_party/treeano/sandbox/nodes/resnet.py | ALSM-PhD/quip_classification | 7347bfaa5cf11ae2d7a528fbcc43322a12c795d3 | [
"BSD-3-Clause"
] | 22 | 2018-05-21T23:57:20.000Z | 2022-02-21T00:48:32.000Z | import functools
import numpy as np
import theano
import theano.tensor as T
import treeano
import treeano.nodes as tn
import canopy
from treeano.sandbox.nodes import batch_normalization as bn
fX = theano.config.floatX
@treeano.register_node("strided_downsample")
class StridedDownsampleNode(treeano.NodeImpl):
hy... | 37.70625 | 82 | 0.477485 | 1,615 | 18,099 | 5.074923 | 0.134365 | 0.059785 | 0.028551 | 0.031723 | 0.550268 | 0.533431 | 0.494998 | 0.473646 | 0.455832 | 0.45144 | 0 | 0.013312 | 0.435549 | 18,099 | 479 | 83 | 37.784969 | 0.788959 | 0.048677 | 0 | 0.571053 | 0 | 0 | 0.057041 | 0.005546 | 0 | 0 | 0 | 0.004175 | 0.021053 | 1 | 0.034211 | false | 0 | 0.021053 | 0.010526 | 0.107895 | 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 |
28acfde090e21839e1960e00b53a1c31a3399db4 | 6,857 | py | Python | autogalaxy/mock/mock.py | caoxiaoyue/PyAutoGalaxy | ad2b4b27404f5bf0f65ba9a0cd7c3ee6570e2d05 | [
"MIT"
] | null | null | null | autogalaxy/mock/mock.py | caoxiaoyue/PyAutoGalaxy | ad2b4b27404f5bf0f65ba9a0cd7c3ee6570e2d05 | [
"MIT"
] | null | null | null | autogalaxy/mock/mock.py | caoxiaoyue/PyAutoGalaxy | ad2b4b27404f5bf0f65ba9a0cd7c3ee6570e2d05 | [
"MIT"
] | null | null | null | from astropy import constants
import math
import autofit as af
import autoarray as aa
import autogalaxy as ag
from autoarray.mock.mock import *
from autofit.mock.mock import *
from autofit.mock import mock as af_m
# MockProfiles #
class MockLightProfile(ag.lp.LightProfile):
def __init__(
... | 27.210317 | 120 | 0.613825 | 816 | 6,857 | 4.810049 | 0.167892 | 0.032102 | 0.02242 | 0.028535 | 0.491975 | 0.448153 | 0.367898 | 0.31414 | 0.275924 | 0.275924 | 0 | 0.015417 | 0.309465 | 6,857 | 251 | 121 | 27.318725 | 0.813516 | 0.05848 | 0 | 0.462857 | 0 | 0 | 0.004294 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.045714 | 0.08 | 0.342857 | 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 |
28aedc5062be8fe00618f3317176a7524c4110f1 | 9,441 | py | Python | classification/active_learning_scatterplots_annotated_tresh.py | gbosetti/ca | 3f37edc4b8f69f61d02b881242522f6fa15e2695 | [
"MIT"
] | null | null | null | classification/active_learning_scatterplots_annotated_tresh.py | gbosetti/ca | 3f37edc4b8f69f61d02b881242522f6fa15e2695 | [
"MIT"
] | 4 | 2021-06-08T22:30:03.000Z | 2022-03-12T00:48:52.000Z | classification/active_learning_scatterplots_annotated_tresh.py | gbosetti/cati | 3f37edc4b8f69f61d02b881242522f6fa15e2695 | [
"MIT"
] | null | null | null | import json
import ast
import plotly.plotly as py
import plotly.graph_objs as go
import plotly.io as pio
import os
import numpy as np
import plotly
plotly.io.orca.config.executable = '/home/gabi/dev/miniconda3/bin/orca' #May be useful in Ubuntu
#PARAMS
logs_path = "C:\\Users\\gbosetti\\Desktop\\test\\logs"
output_pat... | 37.169291 | 247 | 0.565724 | 1,203 | 9,441 | 4.281796 | 0.188695 | 0.017472 | 0.011648 | 0.017472 | 0.373908 | 0.323626 | 0.30926 | 0.30266 | 0.268103 | 0.218404 | 0 | 0.015568 | 0.299227 | 9,441 | 253 | 248 | 37.316206 | 0.762999 | 0.099142 | 0 | 0.343434 | 0 | 0 | 0.114858 | 0.012028 | 0.010101 | 0 | 0 | 0 | 0 | 1 | 0.040404 | false | 0 | 0.040404 | 0 | 0.106061 | 0.010101 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28b0de3981830a9c1ce4101e37d4ea75cec7989b | 1,173 | py | Python | dataloader.py | AmanPriyanshu/Federated-Neural-Collaborative-Filtering | 44dd31cec644859faa44adf54ace3981d8be5bda | [
"MIT"
] | null | null | null | dataloader.py | AmanPriyanshu/Federated-Neural-Collaborative-Filtering | 44dd31cec644859faa44adf54ace3981d8be5bda | [
"MIT"
] | null | null | null | dataloader.py | AmanPriyanshu/Federated-Neural-Collaborative-Filtering | 44dd31cec644859faa44adf54ace3981d8be5bda | [
"MIT"
] | 1 | 2022-03-08T14:28:00.000Z | 2022-03-08T14:28:00.000Z | import numpy as np
import os
class MovielensDatasetLoader:
def __init__(self, filename='./ml-1m/ratings.dat', npy_file='./ml-1m/ratings.npy', num_movies=None, num_users=None):
self.filename = filename
self.npy_file = npy_file
self.rating_tuples = self.read_ratings()
if num_users is None:
self.num_users = n... | 30.868421 | 117 | 0.719523 | 187 | 1,173 | 4.278075 | 0.299465 | 0.0525 | 0.055 | 0.0325 | 0.055 | 0.055 | 0 | 0 | 0 | 0 | 0 | 0.010913 | 0.140665 | 1,173 | 38 | 118 | 30.868421 | 0.782738 | 0 | 0 | 0.121212 | 0 | 0 | 0.041738 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121212 | false | 0 | 0.060606 | 0 | 0.30303 | 0.030303 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28b1ad0e46f2ba4d47dfc0ef0bd3f82478359754 | 1,785 | py | Python | tests/test_command.py | roskakori/sanpo | 909ea663a9a4f12495decb828e2256e45a9cee73 | [
"BSD-3-Clause"
] | null | null | null | tests/test_command.py | roskakori/sanpo | 909ea663a9a4f12495decb828e2256e45a9cee73 | [
"BSD-3-Clause"
] | 2 | 2021-09-07T17:32:24.000Z | 2022-01-13T20:44:41.000Z | tests/test_command.py | roskakori/sanpo | 909ea663a9a4f12495decb828e2256e45a9cee73 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2021, Thomas Aglassinger
# All rights reserved. Distributed under the BSD 3-Clause License.
from sanpo.command import main_without_logging_setup
from ._common import PoFileTest
class CommandTest(PoFileTest):
def test_can_show_help(self):
with self.assertRaises(SystemExit):
mai... | 42.5 | 89 | 0.733894 | 252 | 1,785 | 4.690476 | 0.289683 | 0.100677 | 0.121827 | 0.116751 | 0.467005 | 0.377327 | 0.214044 | 0.145516 | 0.096447 | 0 | 0 | 0.007571 | 0.185994 | 1,785 | 41 | 90 | 43.536585 | 0.805919 | 0.057703 | 0 | 0.066667 | 0 | 0 | 0.051817 | 0.036927 | 0 | 0 | 0 | 0 | 0.266667 | 1 | 0.166667 | false | 0 | 0.066667 | 0 | 0.266667 | 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 |
28b25075889c486e4fe8f7d95019574b35bd45f1 | 3,371 | py | Python | tests/test/test_sign_msgpack_keyreg.py | salvatorecorvaglia/ledger-app-algorand | 549b863af169b3ce5c7721f2e6a7fca5b4bd05fb | [
"MIT"
] | 16 | 2019-06-12T11:46:12.000Z | 2022-01-30T16:28:42.000Z | tests/test/test_sign_msgpack_keyreg.py | salvatorecorvaglia/ledger-app-algorand | 549b863af169b3ce5c7721f2e6a7fca5b4bd05fb | [
"MIT"
] | 42 | 2019-07-26T13:31:03.000Z | 2022-03-18T15:18:52.000Z | tests/test/test_sign_msgpack_keyreg.py | salvatorecorvaglia/ledger-app-algorand | 549b863af169b3ce5c7721f2e6a7fca5b4bd05fb | [
"MIT"
] | 38 | 2019-04-08T14:16:22.000Z | 2022-03-18T06:42:29.000Z | import pytest
import logging
import struct
import base64
import msgpack
import nacl.signing
import algosdk
from . import txn_utils
from . import ui_interaction
from . import speculos
@pytest.fixture
def keyreg_txn():
b64votekey = "eXq34wzh2UIxCZaI1leALKyAvSz/+XOe0wqdHagM+bw="
votekey_addr = algosdk.encodi... | 33.04902 | 103 | 0.660931 | 373 | 3,371 | 5.747989 | 0.340483 | 0.051306 | 0.024254 | 0.023321 | 0.301306 | 0.275187 | 0.275187 | 0.231343 | 0.198694 | 0.146455 | 0 | 0.044799 | 0.218629 | 3,371 | 101 | 104 | 33.376238 | 0.769172 | 0.027292 | 0 | 0.083333 | 0 | 0 | 0.147601 | 0.058426 | 0 | 0 | 0.00492 | 0 | 0.027778 | 1 | 0.055556 | false | 0 | 0.138889 | 0 | 0.222222 | 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 |
28b391732090366f571ee26a22266dbf07b53e53 | 613 | py | Python | VideoSearchEngine/page_rank.py | AkshatSh/VideoSearchEngine | 57f64b241b8a7bbc377ce7826e1206f679f41def | [
"MIT"
] | 49 | 2018-05-22T09:06:18.000Z | 2022-02-26T10:03:43.000Z | VideoSearchEngine/page_rank.py | AkshatSh/VideoSearchEngine | 57f64b241b8a7bbc377ce7826e1206f679f41def | [
"MIT"
] | 17 | 2018-05-18T21:14:36.000Z | 2019-06-06T09:17:18.000Z | VideoSearchEngine/page_rank.py | AkshatSh/VideoSearchEngine | 57f64b241b8a7bbc377ce7826e1206f679f41def | [
"MIT"
] | 18 | 2018-06-06T22:14:26.000Z | 2021-11-23T08:59:31.000Z | from sklearn.feature_extraction.text import TfidfVectorizer
from database_utils import get_all_data, remove_summary
from collections import OrderedDict
import operator
def rank_pages(summaries, query):
vect = TfidfVectorizer()
result = {}
for video in summaries:
tfidf = vect.fit_transform([video... | 26.652174 | 88 | 0.681892 | 76 | 613 | 5.342105 | 0.605263 | 0.064039 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010121 | 0.194127 | 613 | 23 | 89 | 26.652174 | 0.811741 | 0.026101 | 0 | 0 | 0 | 0 | 0.031826 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
28b3adff40823a3f0d9ff8ca30f874e0ce8a4a4f | 3,112 | py | Python | generated-libraries/python/netapp/net/ifgrp_info.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | 2 | 2017-03-28T15:31:26.000Z | 2018-08-16T22:15:18.000Z | generated-libraries/python/netapp/net/ifgrp_info.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | null | null | null | generated-libraries/python/netapp/net/ifgrp_info.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | null | null | null | from netapp.netapp_object import NetAppObject
class IfgrpInfo(NetAppObject):
"""
ifgrp name, type, and components.
"""
_interface_name = None
@property
def interface_name(self):
"""
The interface name.
"""
return self._interface_name
@interface_name.sett... | 27.539823 | 96 | 0.547237 | 317 | 3,112 | 5.201893 | 0.205047 | 0.060036 | 0.054579 | 0.043663 | 0.289873 | 0.289873 | 0.289873 | 0.094603 | 0.054579 | 0 | 0 | 0 | 0.335154 | 3,112 | 112 | 97 | 27.785714 | 0.797003 | 0.116967 | 0 | 0.179487 | 0 | 0 | 0.135798 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.012821 | 0.038462 | 0.410256 | 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 |
28b3f20587976d38da80b634aca51223e642e85b | 4,679 | py | Python | nrpcalc/base/utils.py | TimothyStiles/nrpcalc | 42ab25e929d472c2e808dd3bec6430bc80b42a06 | [
"MIT"
] | 6 | 2020-07-27T17:59:19.000Z | 2022-03-18T03:33:17.000Z | nrpcalc/base/utils.py | TimothyStiles/nrpcalc | 42ab25e929d472c2e808dd3bec6430bc80b42a06 | [
"MIT"
] | 3 | 2020-07-17T23:10:36.000Z | 2021-09-10T05:19:47.000Z | nrpcalc/base/utils.py | TimothyStiles/nrpcalc | 42ab25e929d472c2e808dd3bec6430bc80b42a06 | [
"MIT"
] | 3 | 2020-07-27T17:59:22.000Z | 2021-02-08T15:47:28.000Z | import os
import sys
from typing import Tuple
import pkg_resources
from Bio import SeqIO
import RNA
import numpy as np
complement_table = str.maketrans('ATGCU', 'TACGA')
def stream_fasta_seq_list(fasta_filename):
with open(fasta_filename, "rU") as handle:
for record in SeqIO.parse(handle, "fasta"):
... | 29.613924 | 97 | 0.596281 | 621 | 4,679 | 4.323672 | 0.341385 | 0.026816 | 0.031285 | 0.017877 | 0.236872 | 0.188827 | 0.144879 | 0.125512 | 0.125512 | 0.125512 | 0 | 0.037336 | 0.284462 | 4,679 | 158 | 98 | 29.613924 | 0.764636 | 0.125454 | 0 | 0.162162 | 0 | 0 | 0.041943 | 0.011773 | 0 | 0 | 0 | 0 | 0 | 1 | 0.144144 | false | 0.009009 | 0.063063 | 0.036036 | 0.342342 | 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 |
28b511c9bffc7778b947732b16ddfa8179fa7a1e | 2,288 | py | Python | src/tab_list_analyse.py | GwenIves/Scripts | d2ec5ae0df25f16d5c1fb766767ec358de7d2f97 | [
"MIT"
] | null | null | null | src/tab_list_analyse.py | GwenIves/Scripts | d2ec5ae0df25f16d5c1fb766767ec358de7d2f97 | [
"MIT"
] | null | null | null | src/tab_list_analyse.py | GwenIves/Scripts | d2ec5ae0df25f16d5c1fb766767ec358de7d2f97 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# Analyses a hierarchical tab-indented list file
# and prints out subsection sizes on a requested nesting level
# Subsections with the same name in different subtrees
# are treated as continutaions of a single section
# The script accepts two command line parameters:
# file name
# indent... | 25.142857 | 79 | 0.488636 | 250 | 2,288 | 4.42 | 0.38 | 0.027149 | 0.01991 | 0.027149 | 0.137557 | 0.137557 | 0.094118 | 0.094118 | 0.094118 | 0.094118 | 0 | 0.024763 | 0.399913 | 2,288 | 90 | 80 | 25.422222 | 0.780044 | 0.149038 | 0 | 0.357143 | 0 | 0 | 0.06095 | 0.014979 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.017857 | 0 | 0.071429 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28b9d3223ab59c39762f3f62adf5a1151d5a2567 | 1,357 | py | Python | main.py | cortial-manon/vrep-robot-helper | 8bae73c78d537c6fda383261f25d52a4df4d1787 | [
"MIT"
] | null | null | null | main.py | cortial-manon/vrep-robot-helper | 8bae73c78d537c6fda383261f25d52a4df4d1787 | [
"MIT"
] | null | null | null | main.py | cortial-manon/vrep-robot-helper | 8bae73c78d537c6fda383261f25d52a4df4d1787 | [
"MIT"
] | null | null | null |
#based on the code from https://github.com/studywolf/blog/blob/master/VREP/two_link_arm/vrep_twolink_controller.py
#explained at https://studywolf.wordpress.com/2016/04/18/using-vrep-for-simulation-of-force-controlled-models/
import numpy as np
from VrepWorld import VrepWorld
#create the world object
world = Vrep... | 23.807018 | 114 | 0.719971 | 185 | 1,357 | 5.254054 | 0.589189 | 0.006173 | 0.034979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024735 | 0.165807 | 1,357 | 57 | 115 | 23.807018 | 0.833922 | 0.463522 | 0 | 0 | 0 | 0 | 0.03662 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.130435 | 0 | 0.130435 | 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 |
28babc6c1eea36a0a66fd271330d1972461ccef9 | 15,902 | py | Python | ROAR/control_module/mpc_full_controller.py | cmcniel79/ROAR | cd94ec637e6e5df0eaac3d30ece00a2de74730ee | [
"Apache-2.0"
] | null | null | null | ROAR/control_module/mpc_full_controller.py | cmcniel79/ROAR | cd94ec637e6e5df0eaac3d30ece00a2de74730ee | [
"Apache-2.0"
] | null | null | null | ROAR/control_module/mpc_full_controller.py | cmcniel79/ROAR | cd94ec637e6e5df0eaac3d30ece00a2de74730ee | [
"Apache-2.0"
] | null | null | null | from ROAR.control_module.controller import Controller
from ROAR.utilities_module.vehicle_models import VehicleControl, Vehicle
from ROAR.utilities_module.data_structures_models import Transform, Location
import numpy as np
import logging
from ROAR.agent_module.agent import Agent
from typing import Tuple
import json
fro... | 43.807163 | 149 | 0.616338 | 2,180 | 15,902 | 4.329817 | 0.176147 | 0.041318 | 0.013985 | 0.012607 | 0.30268 | 0.230427 | 0.170993 | 0.146308 | 0.135502 | 0.102447 | 0 | 0.017502 | 0.295749 | 15,902 | 362 | 150 | 43.928177 | 0.825342 | 0.353163 | 0 | 0.089888 | 0 | 0 | 0.02462 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05618 | false | 0 | 0.073034 | 0 | 0.191011 | 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 |
28bb50413a26c30eabe9689d01ddc125b69d1e97 | 2,268 | py | Python | eahub/tests/test_localgroups_models.py | LisaJD/eahub.org | 1fd69f9dea5178c4da8923c3497e6326f359d0b5 | [
"MIT"
] | null | null | null | eahub/tests/test_localgroups_models.py | LisaJD/eahub.org | 1fd69f9dea5178c4da8923c3497e6326f359d0b5 | [
"MIT"
] | null | null | null | eahub/tests/test_localgroups_models.py | LisaJD/eahub.org | 1fd69f9dea5178c4da8923c3497e6326f359d0b5 | [
"MIT"
] | null | null | null | from django.test import TestCase
from eahub.base.models import User
from eahub.localgroups.models import LocalGroup, Organisership
from eahub.profiles.models import Profile
class LocalGroupTestCase(TestCase):
def test_organisers_names(self):
local_group = LocalGroup()
local_group.save()
... | 26.682353 | 77 | 0.581129 | 221 | 2,268 | 5.701357 | 0.343891 | 0.103175 | 0.045238 | 0.047619 | 0.131746 | 0.131746 | 0.131746 | 0 | 0 | 0 | 0 | 0.019506 | 0.321869 | 2,268 | 84 | 78 | 27 | 0.79974 | 0 | 0 | 0.059701 | 0 | 0 | 0.130071 | 0 | 0 | 0 | 0 | 0 | 0.044776 | 1 | 0.044776 | false | 0 | 0.059701 | 0 | 0.119403 | 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 |
28bd72b293eddba770453dd33bd72e6fed937e89 | 5,769 | py | Python | cloudmosh/components/depth.py | rmmilewi/cloudmosh | a6387296ad5591f35a5bbfe0d20c5865eb98d07c | [
"MIT"
] | null | null | null | cloudmosh/components/depth.py | rmmilewi/cloudmosh | a6387296ad5591f35a5bbfe0d20c5865eb98d07c | [
"MIT"
] | null | null | null | cloudmosh/components/depth.py | rmmilewi/cloudmosh | a6387296ad5591f35a5bbfe0d20c5865eb98d07c | [
"MIT"
] | null | null | null | from cloudmosh.components.base import CloudMoshComponent
import os
import numpy as np
# Keras / TensorFlow
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '5'
from keras.models import load_model
import skimage.io
from skimage.transform import resize
from keras.engine.topology import Layer, InputSpec
import keras.utils.conv_utils ... | 38.97973 | 121 | 0.691454 | 796 | 5,769 | 4.866834 | 0.281407 | 0.056789 | 0.022716 | 0.026846 | 0.250387 | 0.232318 | 0.2127 | 0.2127 | 0.2127 | 0.205472 | 0 | 0.024662 | 0.205755 | 5,769 | 148 | 122 | 38.97973 | 0.820821 | 0.240076 | 0 | 0.25 | 0 | 0 | 0.03234 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0.011364 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
28bea69d4e6a6b28445e83be9513a3aebdc5d979 | 9,316 | py | Python | diagnostics/model_test/verify_model.py | ami-GS/ngraph-tf | b5ac340f43bf70879ef6c180f69aac8241152c1e | [
"Apache-2.0"
] | null | null | null | diagnostics/model_test/verify_model.py | ami-GS/ngraph-tf | b5ac340f43bf70879ef6c180f69aac8241152c1e | [
"Apache-2.0"
] | null | null | null | diagnostics/model_test/verify_model.py | ami-GS/ngraph-tf | b5ac340f43bf70879ef6c180f69aac8241152c1e | [
"Apache-2.0"
] | null | null | null | # ==============================================================================
# Copyright 2018 Intel Corporation
#
# 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.apa... | 36.677165 | 130 | 0.659833 | 1,232 | 9,316 | 4.737013 | 0.233766 | 0.023989 | 0.020562 | 0.013708 | 0.127142 | 0.088588 | 0.047293 | 0.047293 | 0.025703 | 0.025703 | 0 | 0.008197 | 0.240447 | 9,316 | 253 | 131 | 36.822134 | 0.816563 | 0.254186 | 0 | 0.026846 | 0 | 0.006711 | 0.124632 | 0 | 0 | 0 | 0 | 0 | 0.026846 | 1 | 0.033557 | false | 0.026846 | 0.060403 | 0 | 0.120805 | 0.04698 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28c180845ca339e6f881e886240beaf93a1ed892 | 10,953 | py | Python | main.py | Tominous/Mario-1 | 28709143019d40cfeaa53737a01270ce14f99858 | [
"Unlicense"
] | 1 | 2020-06-09T10:43:08.000Z | 2020-06-09T10:43:08.000Z | main.py | Tominous/Mario-1 | 28709143019d40cfeaa53737a01270ce14f99858 | [
"Unlicense"
] | null | null | null | main.py | Tominous/Mario-1 | 28709143019d40cfeaa53737a01270ce14f99858 | [
"Unlicense"
] | null | null | null | import discord
from discord.ext import commands
import os
import random
from server import run_server
#token
token = os.environ.get("token")
#prefisso
bot = commands.Bot(command_prefix="m!", description="Nada.")
bot.remove_command('help')
#status
@bot.event
async def on_ready():
print("Sono online come", bot.use... | 37.382253 | 279 | 0.601936 | 1,302 | 10,953 | 5.025346 | 0.241935 | 0.035763 | 0.063579 | 0.083448 | 0.597127 | 0.575424 | 0.54715 | 0.54715 | 0.530796 | 0.502522 | 0 | 0.026017 | 0.252534 | 10,953 | 293 | 280 | 37.382253 | 0.772811 | 0.004108 | 0 | 0.491597 | 0 | 0.021008 | 0.311961 | 0.085856 | 0 | 0 | 0.006604 | 0 | 0 | 1 | 0.004202 | false | 0 | 0.021008 | 0.004202 | 0.029412 | 0.004202 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28c25c0dfe99e2a00d332afa08326f2e3d25b1e8 | 19,506 | py | Python | helpers.py | agartland/HLAPredCache | ebacc706df581a71ba3812282013263939cfbb61 | [
"MIT"
] | null | null | null | helpers.py | agartland/HLAPredCache | ebacc706df581a71ba3812282013263939cfbb61 | [
"MIT"
] | null | null | null | helpers.py | agartland/HLAPredCache | ebacc706df581a71ba3812282013263939cfbb61 | [
"MIT"
] | null | null | null | import numpy as np
import string
import re
__all__ = ['BADAA',
'AALPHABET',
'convertHLAAsterisk',
'isvalidmer',
'isvalidHLA',
'rankEpitopes',
'rankKmers',
'rankMers',
'getIC50',
'getMers',
'getMerInd... | 32.838384 | 110 | 0.584589 | 2,672 | 19,506 | 4.26235 | 0.126871 | 0.007024 | 0.011063 | 0.004215 | 0.578189 | 0.56897 | 0.550707 | 0.536044 | 0.5054 | 0.498024 | 0 | 0.015943 | 0.324721 | 19,506 | 594 | 111 | 32.838384 | 0.848694 | 0.485082 | 0 | 0.295547 | 0 | 0 | 0.030758 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064777 | false | 0 | 0.012146 | 0 | 0.186235 | 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 |
28c5429706a9cf44dbc351c293ef49e987982fbe | 5,697 | py | Python | simfempy/examples/incompflow.py | anairabeze/simfempy | 144362956263cb9b81f4bade15664d9cc640f93a | [
"MIT"
] | null | null | null | simfempy/examples/incompflow.py | anairabeze/simfempy | 144362956263cb9b81f4bade15664d9cc640f93a | [
"MIT"
] | null | null | null | simfempy/examples/incompflow.py | anairabeze/simfempy | 144362956263cb9b81f4bade15664d9cc640f93a | [
"MIT"
] | null | null | null | assert __name__ == '__main__'
# in shell
import os, sys
simfempypath = os.path.abspath(os.path.join(__file__, os.path.pardir, os.path.pardir, os.path.pardir, os.path.pardir,'simfempy'))
sys.path.insert(0,simfempypath)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import pygm... | 44.507813 | 129 | 0.584694 | 783 | 5,697 | 4.204342 | 0.195402 | 0.061968 | 0.034022 | 0.038275 | 0.591738 | 0.57017 | 0.543742 | 0.488153 | 0.442892 | 0.409478 | 0 | 0.056765 | 0.177462 | 5,697 | 127 | 130 | 44.858268 | 0.645753 | 0.270318 | 0 | 0.318182 | 0 | 0 | 0.07696 | 0.005341 | 0 | 0 | 0 | 0.007874 | 0.011364 | 1 | 0.045455 | false | 0 | 0.113636 | 0 | 0.193182 | 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 |
28c6551ca38cd065b2ced67935d3a361ea90ce26 | 11,816 | py | Python | polecat/db/sql/expression/where.py | furious-luke/polecat | 7be5110f76dc42b15c922c1bb7d49220e916246d | [
"MIT"
] | 4 | 2019-08-10T12:56:12.000Z | 2020-01-21T09:51:20.000Z | polecat/db/sql/expression/where.py | furious-luke/polecat | 7be5110f76dc42b15c922c1bb7d49220e916246d | [
"MIT"
] | 71 | 2019-04-09T05:39:21.000Z | 2020-05-16T23:09:24.000Z | polecat/db/sql/expression/where.py | furious-luke/polecat | 7be5110f76dc42b15c922c1bb7d49220e916246d | [
"MIT"
] | null | null | null | import re
import ujson
from psycopg2.sql import SQL, Composable, Identifier
from polecat.utils import to_bool, to_tuple
from ...schema.column import ReverseColumn
from .expression import Expression
class DiscardValue:
pass
class Where:
FILTER_PROG = re.compile(r'^([a-zA-Z][a-zA-Z0-9_]+(?:__[a-zA-Z][a-zA-Z... | 30.142857 | 110 | 0.565166 | 1,394 | 11,816 | 4.672166 | 0.160689 | 0.047597 | 0.034393 | 0.039152 | 0.406571 | 0.37786 | 0.341778 | 0.307078 | 0.29633 | 0.288961 | 0 | 0.003069 | 0.310511 | 11,816 | 391 | 111 | 30.219949 | 0.796367 | 0.07346 | 0 | 0.376271 | 0 | 0.00339 | 0.066477 | 0.004853 | 0 | 0 | 0 | 0.002558 | 0 | 1 | 0.145763 | false | 0.010169 | 0.020339 | 0.023729 | 0.366102 | 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 |
28c7010fc293f500f9e2e5f809119706506c2ca1 | 1,479 | py | Python | autobahn/protocols/ws_client_protocol.py | olegpshenichniy/uvloop-dyno-track | b90e369a12077d390bd74aab833c2c562c5a2567 | [
"MIT"
] | 2 | 2017-09-12T10:32:48.000Z | 2017-09-27T14:47:37.000Z | autobahn/protocols/ws_client_protocol.py | olegpshenichniy/uvloop-dyno-track | b90e369a12077d390bd74aab833c2c562c5a2567 | [
"MIT"
] | null | null | null | autobahn/protocols/ws_client_protocol.py | olegpshenichniy/uvloop-dyno-track | b90e369a12077d390bd74aab833c2c562c5a2567 | [
"MIT"
] | null | null | null | import json
from autobahn.asyncio.websocket import WebSocketClientProtocol
from config import DEBUG, CLIENTS_MSGS_COUNT, CLIENTS_COUNT
class WSClientProtocol(WebSocketClientProtocol):
"""
Websocket client protocol.
"""
def __init__(self):
super(WSClientProtocol, self).__init__()
sel... | 30.183673 | 101 | 0.628803 | 162 | 1,479 | 5.469136 | 0.45679 | 0.05079 | 0.072235 | 0.051919 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006369 | 0.25693 | 1,479 | 48 | 102 | 30.8125 | 0.799818 | 0.017579 | 0 | 0 | 0 | 0 | 0.141267 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.09375 | 0 | 0.3125 | 0.21875 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28c80161e65709f4218b6dce11334fbf557a4f57 | 13,174 | py | Python | tests/www/services/synapse_space/daa/test_grant_daa_access_service.py | ki-tools/sls_ki_synapse_admin_py | d9483d01000b61c4e8d129bdc06497ae1a27484b | [
"Apache-2.0"
] | null | null | null | tests/www/services/synapse_space/daa/test_grant_daa_access_service.py | ki-tools/sls_ki_synapse_admin_py | d9483d01000b61c4e8d129bdc06497ae1a27484b | [
"Apache-2.0"
] | null | null | null | tests/www/services/synapse_space/daa/test_grant_daa_access_service.py | ki-tools/sls_ki_synapse_admin_py | d9483d01000b61c4e8d129bdc06497ae1a27484b | [
"Apache-2.0"
] | null | null | null | import pytest
import time
import json
from datetime import date, timedelta
from www.core import Synapse, Env
from www.services.synapse_space.daa import GrantDaaAccessService
import synapseclient as syn
@pytest.fixture
def mk_service(syn_test_helper, syn_client, mk_uniq_real_email, blank_daa_config, set_daa_config):
... | 41.297806 | 115 | 0.617656 | 1,542 | 13,174 | 4.993515 | 0.144617 | 0.023636 | 0.043896 | 0.055195 | 0.543117 | 0.485844 | 0.447273 | 0.385714 | 0.345844 | 0.322597 | 0 | 0.007533 | 0.27448 | 13,174 | 318 | 116 | 41.427673 | 0.798075 | 0.016927 | 0 | 0.350598 | 0 | 0 | 0.079305 | 0.014704 | 0 | 0 | 0 | 0.003145 | 0.338645 | 1 | 0.063745 | false | 0.003984 | 0.027888 | 0 | 0.095618 | 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 |
28c8168a9876befd17a03652dfc26fe8e8b8d160 | 6,048 | py | Python | scripts/verify/test_sampling/species_generator_funcs.py | nadiahpk/niche-neutral-riau-birds | 83eeba57973d6912ad354592c84a03b5c24b3363 | [
"Unlicense"
] | null | null | null | scripts/verify/test_sampling/species_generator_funcs.py | nadiahpk/niche-neutral-riau-birds | 83eeba57973d6912ad354592c84a03b5c24b3363 | [
"Unlicense"
] | null | null | null | scripts/verify/test_sampling/species_generator_funcs.py | nadiahpk/niche-neutral-riau-birds | 83eeba57973d6912ad354592c84a03b5c24b3363 | [
"Unlicense"
] | null | null | null | import numpy as np
# create J[k,h], the number of individuals in niche k on island h
def draw_J(K, JV):
# secondary parameters
H = len(JV) # number of islands
J = list()
for k in range(K):
J.append([])
for h in range(H):
Jkh_float = JV[h] / K # number of indivi... | 32.691892 | 106 | 0.475694 | 788 | 6,048 | 3.59264 | 0.214467 | 0.067114 | 0.038149 | 0.03391 | 0.452844 | 0.421406 | 0.372307 | 0.372307 | 0.372307 | 0.372307 | 0 | 0.017231 | 0.424272 | 6,048 | 184 | 107 | 32.869565 | 0.795807 | 0.303571 | 0 | 0.488636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034091 | false | 0 | 0.011364 | 0 | 0.045455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
28cb2fe8595e1829af00fa8ae1db21b69746fd37 | 767 | py | Python | protonfixes/gamefixes/243470.py | Citiroller/protonfixes | 6e0116bd1cd2172b6f0ff9905667bbc59595cdb7 | [
"BSD-2-Clause"
] | 213 | 2018-10-06T01:40:26.000Z | 2022-03-16T16:17:37.000Z | protonfixes/gamefixes/243470.py | Citiroller/protonfixes | 6e0116bd1cd2172b6f0ff9905667bbc59595cdb7 | [
"BSD-2-Clause"
] | 88 | 2018-10-06T17:38:56.000Z | 2022-02-19T13:27:26.000Z | protonfixes/gamefixes/243470.py | Citiroller/protonfixes | 6e0116bd1cd2172b6f0ff9905667bbc59595cdb7 | [
"BSD-2-Clause"
] | 67 | 2018-10-09T16:57:16.000Z | 2022-03-14T13:06:25.000Z | """ Game fix for Watch_Dogs
"""
# pylint: disable=C0103
import subprocess
from protonfixes import util
from protonfixes import splash
def main():
""" Fix the in-game sound
"""
util.protontricks('xact')
util.protontricks('winxp')
info_popup()
@util.once
def info_popup():
""" Show info popup... | 22.558824 | 165 | 0.640156 | 100 | 767 | 4.81 | 0.59 | 0.056133 | 0.087318 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013841 | 0.246415 | 767 | 33 | 166 | 23.242424 | 0.818339 | 0.168188 | 0 | 0 | 0 | 0.052632 | 0.299838 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.157895 | 0 | 0.315789 | 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 |
28cfe2649130d1fc2ca1713a506f572c7ef8b0ef | 3,564 | py | Python | test.py | ughiriccardo/retinaface-tf2 | 4791819fc7e47a63ffe695f0a3adccd6cfa5bb5e | [
"MIT"
] | null | null | null | test.py | ughiriccardo/retinaface-tf2 | 4791819fc7e47a63ffe695f0a3adccd6cfa5bb5e | [
"MIT"
] | null | null | null | test.py | ughiriccardo/retinaface-tf2 | 4791819fc7e47a63ffe695f0a3adccd6cfa5bb5e | [
"MIT"
] | null | null | null | from absl import app, flags, logging
from absl.flags import FLAGS
import cv2
import os
import numpy as np
import tensorflow as tf
import time
from PIL import Image
from modules.models import RetinaFaceModel
from modules.utils import (set_memory_growth, load_yaml, draw_bbox_landm,
pad_input_... | 33.622642 | 125 | 0.664703 | 515 | 3,564 | 4.394175 | 0.335922 | 0.027839 | 0.033142 | 0.030491 | 0.135219 | 0.120194 | 0.022978 | 0 | 0 | 0 | 0 | 0.014873 | 0.207632 | 3,564 | 105 | 126 | 33.942857 | 0.786473 | 0.062009 | 0 | 0.051948 | 0 | 0 | 0.142172 | 0.009298 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012987 | false | 0.012987 | 0.12987 | 0 | 0.142857 | 0.051948 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28d3228ab5984fc81c4a723afce6ac8224b5d570 | 214 | py | Python | Contest/ABC182/d/main.py | mpses/AtCoder | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | [
"CC0-1.0"
] | null | null | null | Contest/ABC182/d/main.py | mpses/AtCoder | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | [
"CC0-1.0"
] | null | null | null | Contest/ABC182/d/main.py | mpses/AtCoder | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
n, *a = map(int, open(0).read().split())
from itertools import*
*S, = accumulate(a)
*M, = accumulate(S, max)
Z = ans = 0
for s, m in zip(S, M):
ans = max(ans, Z + m)
Z += s
print(ans) | 21.4 | 40 | 0.570093 | 41 | 214 | 2.97561 | 0.609756 | 0.032787 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017751 | 0.21028 | 214 | 10 | 41 | 21.4 | 0.704142 | 0.098131 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28dcbab6ce14a5c552df454e459ab5d17982bfb0 | 1,627 | py | Python | new_skeleton1/tests/test_player_repository.py | borko81/SU_OOP_2021 | 8c38682bd4a2b032ca09f85b0a579be152223a59 | [
"MIT"
] | null | null | null | new_skeleton1/tests/test_player_repository.py | borko81/SU_OOP_2021 | 8c38682bd4a2b032ca09f85b0a579be152223a59 | [
"MIT"
] | null | null | null | new_skeleton1/tests/test_player_repository.py | borko81/SU_OOP_2021 | 8c38682bd4a2b032ca09f85b0a579be152223a59 | [
"MIT"
] | null | null | null | import unittest
from project.player.beginner import Beginner
from project.player.player_repository import PlayerRepository
class TestPlayerRepo(unittest.TestCase):
def setUp(self):
self.repo = PlayerRepository()
def test_set_up(self):
self.assertEqual(self.repo.count, 0)
self.assertL... | 31.288462 | 80 | 0.657652 | 210 | 1,627 | 4.909524 | 0.290476 | 0.131911 | 0.064016 | 0.069835 | 0.458778 | 0.403492 | 0.234724 | 0.234724 | 0.205626 | 0.13967 | 0 | 0.004747 | 0.22311 | 1,627 | 51 | 81 | 31.901961 | 0.810918 | 0 | 0 | 0.35 | 0 | 0 | 0.066994 | 0 | 0 | 0 | 0 | 0 | 0.3 | 1 | 0.175 | false | 0 | 0.075 | 0 | 0.275 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
28dfb8dee6d42e22033971ee588b9325fc390cc8 | 640 | py | Python | montype.py | xenolithcluster/mon | b3ecb7810857ae6890ec57cd862f79d8422ee99d | [
"Unlicense"
] | null | null | null | montype.py | xenolithcluster/mon | b3ecb7810857ae6890ec57cd862f79d8422ee99d | [
"Unlicense"
] | null | null | null | montype.py | xenolithcluster/mon | b3ecb7810857ae6890ec57cd862f79d8422ee99d | [
"Unlicense"
] | null | null | null | from monstage import *
class MonType():
def __init__(self,sprites=None,stage=egg,becomes=None):
self.stage = stage
self.becomes = becomes
self._sprites = sprites
def setSprites(self,sprites):
if type(sprites) not in [list,tuple] or sprites == None:
... | 22.857143 | 74 | 0.614063 | 74 | 640 | 5.216216 | 0.459459 | 0.142487 | 0.139896 | 0.108808 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006383 | 0.265625 | 640 | 27 | 75 | 23.703704 | 0.814894 | 0 | 0 | 0.133333 | 0 | 0 | 0.076682 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.066667 | 0.066667 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
28e78c6007647b288497c3988604a790b661d369 | 7,327 | py | Python | examples/prefilter_test.py | abiedermann/worms | 026c45a88d5c71b0e035ac83de6f4dc107316ed8 | [
"Apache-2.0"
] | 4 | 2018-01-30T23:13:43.000Z | 2021-02-12T22:36:54.000Z | examples/prefilter_test.py | abiedermann/worms | 026c45a88d5c71b0e035ac83de6f4dc107316ed8 | [
"Apache-2.0"
] | 9 | 2018-02-23T00:52:25.000Z | 2022-01-26T00:02:32.000Z | examples/prefilter_test.py | abiedermann/worms | 026c45a88d5c71b0e035ac83de6f4dc107316ed8 | [
"Apache-2.0"
] | 4 | 2018-06-28T21:30:14.000Z | 2022-03-30T17:50:42.000Z | import logging
import sys
import concurrent.futures as cf
from time import clock, time
import numpy as np
import pytest
from worms import simple_search_dag, Cyclic, grow_linear, NullCriteria
from worms.util import InProcessExecutor
from worms.database import CachingBBlockDB, CachingSpliceDB
from worms.ssdag_pose impo... | 32.856502 | 115 | 0.661253 | 1,044 | 7,327 | 4.37069 | 0.25 | 0.053254 | 0.074074 | 0.086785 | 0.319088 | 0.289064 | 0.250931 | 0.235371 | 0.235371 | 0.225948 | 0 | 0.070432 | 0.207452 | 7,327 | 222 | 116 | 33.004505 | 0.715344 | 0.10782 | 0 | 0.1 | 0 | 0.011765 | 0.312327 | 0.239625 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017647 | false | 0 | 0.094118 | 0 | 0.123529 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28e92acc31d96b35a53502cfb20ad7033a7cf662 | 2,476 | py | Python | f_net/main.py | DionysisChristopoulos/google-research | 7f59ef421beef32ca16c2a7215be74f7eba01a0f | [
"Apache-2.0"
] | 2 | 2021-09-04T09:08:38.000Z | 2021-09-04T09:08:44.000Z | f_net/main.py | DionysisChristopoulos/google-research | 7f59ef421beef32ca16c2a7215be74f7eba01a0f | [
"Apache-2.0"
] | null | null | null | f_net/main.py | DionysisChristopoulos/google-research | 7f59ef421beef32ca16c2a7215be74f7eba01a0f | [
"Apache-2.0"
] | 5 | 2021-11-25T07:40:17.000Z | 2022-03-22T11:13:39.000Z | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# 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 applicab... | 32.578947 | 83 | 0.735057 | 349 | 2,476 | 5.063037 | 0.475645 | 0.033956 | 0.023769 | 0.01811 | 0.019242 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004885 | 0.173263 | 2,476 | 75 | 84 | 33.013333 | 0.858329 | 0.319063 | 0 | 0 | 0 | 0 | 0.186899 | 0.025841 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0.238095 | 0 | 0.261905 | 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 |
28e9489a4ce0811a2281acebf64dae5129d76367 | 18,341 | py | Python | mypyext/ml.py | VolkiTheDreamer/PythonRocks | f7b6cdf335687c6d111bf08387965ca3ecddd504 | [
"Apache-2.0"
] | null | null | null | mypyext/ml.py | VolkiTheDreamer/PythonRocks | f7b6cdf335687c6d111bf08387965ca3ecddd504 | [
"Apache-2.0"
] | null | null | null | mypyext/ml.py | VolkiTheDreamer/PythonRocks | f7b6cdf335687c6d111bf08387965ca3ecddd504 | [
"Apache-2.0"
] | 2 | 2019-10-04T10:56:14.000Z | 2022-03-06T18:18:59.000Z | import numpy as np
import pandas as pd
from sklearn.metrics import silhouette_samples, silhouette_score
from sklearn.metrics import confusion_matrix, accuracy_score, recall_score, precision_score, f1_score,roc_auc_score,roc_curve
from sklearn.metrics import mean_squared_error,mean_absolute_error,r2_score
import ma... | 38.531513 | 213 | 0.601876 | 2,375 | 18,341 | 4.544 | 0.291368 | 0.015845 | 0.00556 | 0.009266 | 0.083117 | 0.061527 | 0.039288 | 0.034099 | 0.016679 | 0.008154 | 0 | 0.021779 | 0.284009 | 18,341 | 476 | 214 | 38.531513 | 0.80003 | 0.209858 | 0 | 0.062914 | 0 | 0 | 0.092658 | 0.00301 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086093 | false | 0.003311 | 0.07947 | 0.003311 | 0.201987 | 0.072848 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28eb9384d1558fa0c10861f56ac8ad811737befd | 845 | py | Python | src/isaw.theme/isaw/theme/browser/viewlets/zotero.py | isawnyu/isaw.web | 604499f9fa55d1ce9698ca05f85ddb54a88f1cab | [
"CC-BY-3.0"
] | null | null | null | src/isaw.theme/isaw/theme/browser/viewlets/zotero.py | isawnyu/isaw.web | 604499f9fa55d1ce9698ca05f85ddb54a88f1cab | [
"CC-BY-3.0"
] | 405 | 2015-03-12T18:20:25.000Z | 2022-03-07T18:44:16.000Z | src/isaw.theme/isaw/theme/browser/viewlets/zotero.py | isawnyu/isaw.web | 604499f9fa55d1ce9698ca05f85ddb54a88f1cab | [
"CC-BY-3.0"
] | 1 | 2016-11-07T21:18:49.000Z | 2016-11-07T21:18:49.000Z | import re
from urlparse import urlparse
from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile
from plone.app.layout.viewlets.common import ViewletBase
ZOTERO_JSON_BASE = 'https://api.zotero.org{}?v=3&format=json'
Z_MATCH = re.compile(r'^/(groups|users)/\d+/items/[A-Z1-9]+$')
class PublicationZotero... | 33.8 | 71 | 0.695858 | 109 | 845 | 5.229358 | 0.541284 | 0.063158 | 0.049123 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004425 | 0.197633 | 845 | 24 | 72 | 35.208333 | 0.836283 | 0 | 0 | 0 | 0 | 0 | 0.138462 | 0.043787 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.2 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
28ec2d89ad8ce29a9ec68a6cf207b6114836df8c | 1,079 | py | Python | descender.py | illBeRoy/tldr-of-the-world-data | 06d581eb117bdc79ebbe7af4f8ae4b26190d7231 | [
"MIT"
] | null | null | null | descender.py | illBeRoy/tldr-of-the-world-data | 06d581eb117bdc79ebbe7af4f8ae4b26190d7231 | [
"MIT"
] | null | null | null | descender.py | illBeRoy/tldr-of-the-world-data | 06d581eb117bdc79ebbe7af4f8ae4b26190d7231 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import argparse
import json
import jinja2
import webbrowser
import graph
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('groups', help='json file describing seed groups')
args = parser.parse_args()
# load group from file
with open(args.gro... | 28.394737 | 100 | 0.656163 | 146 | 1,079 | 4.760274 | 0.458904 | 0.034532 | 0.051799 | 0.046043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008187 | 0.2076 | 1,079 | 37 | 101 | 29.162162 | 0.804678 | 0.159407 | 0 | 0 | 0 | 0 | 0.211111 | 0.067778 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.238095 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
28f54f1fb9cdd4025290b813dd74c2874e584666 | 14,375 | py | Python | 4_Model_Updater/train_new_model.py | kshahnazari1998/SmartDota-Public | 270ddabfd353c57e754c00b7a5365d99f4d5902f | [
"MIT"
] | null | null | null | 4_Model_Updater/train_new_model.py | kshahnazari1998/SmartDota-Public | 270ddabfd353c57e754c00b7a5365d99f4d5902f | [
"MIT"
] | null | null | null | 4_Model_Updater/train_new_model.py | kshahnazari1998/SmartDota-Public | 270ddabfd353c57e754c00b7a5365d99f4d5902f | [
"MIT"
] | null | null | null | import json
import pandas as pd
import numpy as np
import random
from Sqldatabasehandler import sqlhandler
from datetime import datetime
from sklearn.linear_model import SGDClassifier
from sklearn.preprocessing import PolynomialFeatures
import pickle
import torch
from torch import nn
import torch.optim as optim
from ... | 36.209068 | 88 | 0.517704 | 1,778 | 14,375 | 4.012373 | 0.142295 | 0.062798 | 0.046257 | 0.08831 | 0.640454 | 0.619288 | 0.599103 | 0.577236 | 0.555649 | 0.535744 | 0 | 0.035497 | 0.361113 | 14,375 | 396 | 89 | 36.300505 | 0.741289 | 0.066574 | 0 | 0.44373 | 0 | 0 | 0.039518 | 0.003593 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041801 | false | 0.009646 | 0.045016 | 0.006431 | 0.180064 | 0.012862 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28f6f0c2610028a27b78a080b28387f6adc1ab80 | 2,227 | py | Python | meshrcnn/structures/mask.py | MAYURGAIKWAD/meshrcnn | b47ecd47ca7de7055b7d141e63ddab286c5245f3 | [
"BSD-3-Clause"
] | 1,028 | 2020-01-23T23:30:54.000Z | 2022-03-27T22:33:50.000Z | meshrcnn/structures/mask.py | MAYURGAIKWAD/meshrcnn | b47ecd47ca7de7055b7d141e63ddab286c5245f3 | [
"BSD-3-Clause"
] | 103 | 2020-01-24T05:29:48.000Z | 2022-03-08T13:04:24.000Z | meshrcnn/structures/mask.py | MAYURGAIKWAD/meshrcnn | b47ecd47ca7de7055b7d141e63ddab286c5245f3 | [
"BSD-3-Clause"
] | 179 | 2020-01-24T08:14:30.000Z | 2022-03-19T00:34:05.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from torch.nn import functional as F
def crop_mask_within_box(mask, box, mask_size):
"""
Crop the mask content in the given box.
The cropped mask is resized to (mask_size, mask_size).
This function is used when genera... | 34.796875 | 97 | 0.68388 | 337 | 2,227 | 4.391691 | 0.367953 | 0.059459 | 0.037162 | 0.043243 | 0.037838 | 0.037838 | 0.037838 | 0 | 0 | 0 | 0 | 0.011008 | 0.224966 | 2,227 | 63 | 98 | 35.349206 | 0.846466 | 0.535249 | 0 | 0 | 0 | 0 | 0.015168 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.388889 | 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 |
28f7bcf0fe258f3b0b26915576f9434aa6d0a9ec | 1,727 | py | Python | app/controller/org.py | Jimmy-Xu/fastapi_demo | f19c629cc7fa0e0e47e73e8688cd019bc74aa982 | [
"MIT"
] | 12 | 2020-09-01T09:19:41.000Z | 2022-03-17T05:48:50.000Z | app/controller/org.py | Jimmy-Xu/fastapi_demo | f19c629cc7fa0e0e47e73e8688cd019bc74aa982 | [
"MIT"
] | null | null | null | app/controller/org.py | Jimmy-Xu/fastapi_demo | f19c629cc7fa0e0e47e73e8688cd019bc74aa982 | [
"MIT"
] | 3 | 2021-04-26T02:53:04.000Z | 2021-11-01T14:32:38.000Z | from fastapi import APIRouter, Depends
from fastapi_plus.schema.base import ListArgsSchema, RespListSchema, RespIdSchema, RespBaseSchema
from fastapi_plus.utils.auth import get_auth_data
from fastapi_plus.utils.custom_route import CustomRoute
from ..schema.org import OrgInfoSchema, OrgRespDetailSchema
from ..service.o... | 27.412698 | 97 | 0.712218 | 212 | 1,727 | 5.622642 | 0.283019 | 0.114094 | 0.055369 | 0.079698 | 0.322148 | 0.29698 | 0.234899 | 0.209732 | 0.137584 | 0 | 0 | 0 | 0.165605 | 1,727 | 62 | 98 | 27.854839 | 0.827203 | 0 | 0 | 0 | 0 | 0 | 0.018921 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.24 | 0 | 0.44 | 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 |
28fa10ec4cb7ea617432d1a843efa65bb4d46c15 | 2,327 | py | Python | nerodia/alert.py | harsh183/nerodia | 69c5e4408432e85b5af0b2da03015f729809dac4 | [
"MIT"
] | 83 | 2017-11-20T08:41:09.000Z | 2022-02-09T21:01:47.000Z | nerodia/alert.py | harsh183/nerodia | 69c5e4408432e85b5af0b2da03015f729809dac4 | [
"MIT"
] | 28 | 2017-11-21T02:25:03.000Z | 2021-04-15T15:26:30.000Z | nerodia/alert.py | harsh183/nerodia | 69c5e4408432e85b5af0b2da03015f729809dac4 | [
"MIT"
] | 14 | 2017-11-29T06:44:12.000Z | 2021-09-06T04:53:44.000Z | from selenium.common.exceptions import NoAlertPresentException
import nerodia
from .exception import UnknownObjectException
from .wait.wait import Waitable, TimeoutError
class Alert(Waitable):
def __init__(self, browser):
self.browser = browser
self.alert = None
@property
def text(self):... | 23.039604 | 83 | 0.581006 | 244 | 2,327 | 5.442623 | 0.319672 | 0.072289 | 0.071536 | 0.051205 | 0.219127 | 0.203313 | 0.073795 | 0.073795 | 0.073795 | 0.073795 | 0 | 0 | 0.329179 | 2,327 | 100 | 84 | 23.27 | 0.850737 | 0.234207 | 0 | 0.304348 | 0 | 0 | 0.042913 | 0 | 0 | 0 | 0 | 0 | 0.065217 | 1 | 0.195652 | false | 0 | 0.086957 | 0.021739 | 0.456522 | 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 |
28fa6ae216b4aa0d88457aec32b09566f1611604 | 1,448 | py | Python | finetwork/distance_calculator/distance_calculator.py | annakuchko/FinNetwork | 4566ff96b33fb5668f9b28f41a94791d1cf9249c | [
"MIT"
] | 5 | 2021-12-07T22:14:10.000Z | 2022-03-30T14:09:15.000Z | finetwork/distance_calculator/distance_calculator.py | annakuchko/FinNetwork | 4566ff96b33fb5668f9b28f41a94791d1cf9249c | [
"MIT"
] | null | null | null | finetwork/distance_calculator/distance_calculator.py | annakuchko/FinNetwork | 4566ff96b33fb5668f9b28f41a94791d1cf9249c | [
"MIT"
] | null | null | null | from finetwork.distance_calculator import _distance_metrics
import pandas as pd
class CalculateDistance:
def __init__(self, data, method='pearson', scaled=False, sigma = 0.5):
self.data = data
self.method = method
self.scaled = scaled
self.sigma = sigma
... | 34.47619 | 78 | 0.462017 | 149 | 1,448 | 4.308725 | 0.328859 | 0.062305 | 0.028037 | 0.034268 | 0.077882 | 0.077882 | 0.077882 | 0.077882 | 0 | 0 | 0 | 0.00861 | 0.438536 | 1,448 | 41 | 79 | 35.317073 | 0.781058 | 0 | 0 | 0 | 0 | 0 | 0.030561 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.060606 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
28fc0673c7bc0e68a3641dedb06915366e9c6c39 | 27,818 | py | Python | aprastreioWin.py | Alexsussa/aprastreio | 1159861edd932f61a849f63f9dc7e5d34b2f272b | [
"MIT"
] | null | null | null | aprastreioWin.py | Alexsussa/aprastreio | 1159861edd932f61a849f63f9dc7e5d34b2f272b | [
"MIT"
] | null | null | null | aprastreioWin.py | Alexsussa/aprastreio | 1159861edd932f61a849f63f9dc7e5d34b2f272b | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- encoding: utf-8 -*-
__version__ = 1.2
from tkinter.ttk import *
from tkinter.messagebox import *
from tkinter.scrolledtext import *
from tkinter import *
from bs4 import BeautifulSoup
from urllib.request import urlopen
from mailcomposer import MailComposer
from threading import Thread
import ... | 46.910624 | 225 | 0.60752 | 3,162 | 27,818 | 5.327324 | 0.166034 | 0.023508 | 0.029445 | 0.022559 | 0.600534 | 0.551202 | 0.507806 | 0.449629 | 0.400475 | 0.384862 | 0 | 0.012346 | 0.260443 | 27,818 | 592 | 226 | 46.989865 | 0.806445 | 0.020562 | 0 | 0.360341 | 0 | 0.012793 | 0.264556 | 0.005208 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051173 | false | 0.008529 | 0.031983 | 0 | 0.098081 | 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 |
28fcf00920c199ce0f0b62aba120f4cb4d0c324d | 5,480 | py | Python | samples/attributes.py | DavidJohnGee/clicrud | f1f178ac44649efe7b7681d37e97d2632b8971b2 | [
"Apache-2.0"
] | 9 | 2015-12-07T23:00:24.000Z | 2021-06-23T21:31:47.000Z | samples/attributes.py | DavidJohnGee/clicrud | f1f178ac44649efe7b7681d37e97d2632b8971b2 | [
"Apache-2.0"
] | 8 | 2016-04-05T12:36:54.000Z | 2017-05-15T16:00:08.000Z | samples/attributes.py | DavidJohnGee/clicrud | f1f178ac44649efe7b7681d37e97d2632b8971b2 | [
"Apache-2.0"
] | 7 | 2016-06-02T23:39:05.000Z | 2021-03-25T20:52:46.000Z | #!/usr/bin/env python
"""
Copyright 2015 Brocade Communications Systems, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by appl... | 37.793103 | 77 | 0.534672 | 566 | 5,480 | 4.998233 | 0.316254 | 0.041357 | 0.051962 | 0.056911 | 0.404383 | 0.323436 | 0.297278 | 0.297278 | 0.297278 | 0.297278 | 0 | 0.015425 | 0.372993 | 5,480 | 144 | 78 | 38.055556 | 0.807916 | 0.250547 | 0 | 0.54023 | 0 | 0 | 0.149171 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045977 | false | 0 | 0.011494 | 0 | 0.091954 | 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 |
28fd8a0aa5ca53d8cc4ae5edc75046373f2c1af3 | 1,929 | py | Python | Q36_reversePairs.py | FreesiaLikesPomelo/-offer | 14ac73cb46d13c7f5bbc294329a14f3c5995bc7a | [
"Apache-2.0"
] | null | null | null | Q36_reversePairs.py | FreesiaLikesPomelo/-offer | 14ac73cb46d13c7f5bbc294329a14f3c5995bc7a | [
"Apache-2.0"
] | null | null | null | Q36_reversePairs.py | FreesiaLikesPomelo/-offer | 14ac73cb46d13c7f5bbc294329a14f3c5995bc7a | [
"Apache-2.0"
] | null | null | null | '''
面试题51. 数组中的逆序对
在数组中的两个数字,如果前面一个数字大于后面的数字,则这两个数字组成一个逆序对。输入一个数组,求出这个数组中的逆序对的总数。
示例 1:
输入: [7,5,6,4]
输出: 5
限制:
0 <= 数组长度 <= 50000
https://leetcode-cn.com/problems/shu-zu-zhong-de-ni-xu-dui-lcof/
执行用时 :1564 ms, 在所有 Python3 提交中击败了85.67%的用户
内存消耗 :18.5 MB, 在所有 Python3 提交中击败了100.00%的用户
'''
# merge-sort
# test cases:
# 1... | 26.424658 | 64 | 0.524624 | 242 | 1,929 | 4.181818 | 0.35124 | 0.041502 | 0.050395 | 0.045455 | 0.189723 | 0.189723 | 0.189723 | 0.189723 | 0.057312 | 0 | 0 | 0.048722 | 0.350959 | 1,929 | 72 | 65 | 26.791667 | 0.759585 | 0.248834 | 0 | 0.325581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0 | 0 | 0.209302 | 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 |
28fd8b4c1c5abdea704fd69e0b99370a0f6f8997 | 21,954 | py | Python | Apps/phgreynoise/greynoise_connector.py | ryanbsaunders/phantom-apps | 1befda793a08d366fbd443894f993efb1baf9635 | [
"Apache-2.0"
] | 2 | 2021-07-23T03:51:30.000Z | 2021-08-12T14:13:04.000Z | Apps/phgreynoise/greynoise_connector.py | ryanbsaunders/phantom-apps | 1befda793a08d366fbd443894f993efb1baf9635 | [
"Apache-2.0"
] | 4 | 2021-10-04T09:22:02.000Z | 2021-11-01T12:00:04.000Z | Apps/phgreynoise/greynoise_connector.py | ryanbsaunders/phantom-apps | 1befda793a08d366fbd443894f993efb1baf9635 | [
"Apache-2.0"
] | 2 | 2021-05-15T17:31:24.000Z | 2021-07-23T03:51:42.000Z | # File: greynoise_connector.py
#
# Licensed under Apache 2.0 (https://www.apache.org/licenses/LICENSE-2.0.txt)
# Python 3 Compatibility imports
from __future__ import print_function, unicode_literals
# Phantom App imports
import phantom.app as phantom
from phantom.base_connector import BaseConnector
from phantom.acti... | 38.856637 | 123 | 0.579029 | 2,452 | 21,954 | 4.902529 | 0.132545 | 0.063888 | 0.037434 | 0.041927 | 0.444555 | 0.412362 | 0.384827 | 0.377256 | 0.355711 | 0.333417 | 0 | 0.002717 | 0.329325 | 21,954 | 564 | 124 | 38.925532 | 0.813706 | 0.034709 | 0 | 0.401766 | 0 | 0 | 0.123858 | 0.004733 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039735 | false | 0.01766 | 0.028698 | 0.004415 | 0.183223 | 0.024283 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
28ff68d107d4e01cf5ece21ad9bb66128f102b8f | 373 | py | Python | src/pgbackup/pgdump.py | narbutas/pgbackup | 2bc65dc9c4cdba135e0ae68c71d034de50fddda8 | [
"Apache-2.0"
] | null | null | null | src/pgbackup/pgdump.py | narbutas/pgbackup | 2bc65dc9c4cdba135e0ae68c71d034de50fddda8 | [
"Apache-2.0"
] | null | null | null | src/pgbackup/pgdump.py | narbutas/pgbackup | 2bc65dc9c4cdba135e0ae68c71d034de50fddda8 | [
"Apache-2.0"
] | null | null | null | import subprocess
import sys
def dump(url):
try:
return subprocess.Popen(['pg_dump', url], stdout=subprocess.PIPE)
except OSError as err:
print(f"Error: {err}")
sys.exit(1)
def dump_file_name(url, timestamp=None):
db_name = url.split('/')[-1]
db_name = db_name.split('?')[0]
if timestamp:
return f"{db_na... | 21.941176 | 67 | 0.686327 | 60 | 373 | 4.133333 | 0.516667 | 0.120968 | 0.072581 | 0.104839 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009346 | 0.13941 | 373 | 17 | 68 | 21.941176 | 0.76324 | 0 | 0 | 0 | 0 | 0 | 0.157754 | 0.066845 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.133333 | 0 | 0.466667 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e900f1fbad104966ef7247511d53bc745e2f6385 | 1,190 | py | Python | e2_s13.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | 2 | 2022-01-13T15:55:58.000Z | 2022-02-11T23:18:34.000Z | e2_s13.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | null | null | null | e2_s13.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | null | null | null | numero_vogal = 0
espaço = 0
numero_consoante = 0
contador = 0
escrita = 0
arquivo = input('Digite o nome do seu arquivo (.txt): ')
with open(arquivo, 'w', encoding='utf-8') as texto:
while escrita != 'sair':
escrita = input('Digite: ')
texto.write(escrita)
texto.write(... | 30.512821 | 117 | 0.443697 | 182 | 1,190 | 2.868132 | 0.412088 | 0.063218 | 0.04023 | 0.074713 | 0.162835 | 0.061303 | 0 | 0 | 0 | 0 | 0 | 0.015421 | 0.291597 | 1,190 | 38 | 118 | 31.315789 | 0.603796 | 0 | 0 | 0 | 0 | 0 | 0.231771 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
e903dc912d5bbd81aedab3090527461e1da894a1 | 2,843 | py | Python | mammoth/ensembl.py | hbc/mammoth_code | 2e6909514e8ff232981ea2cb03f078257bc5c847 | [
"MIT"
] | 1 | 2017-05-22T01:18:13.000Z | 2017-05-22T01:18:13.000Z | mammoth/ensembl.py | hbc/mammoth_code | 2e6909514e8ff232981ea2cb03f078257bc5c847 | [
"MIT"
] | null | null | null | mammoth/ensembl.py | hbc/mammoth_code | 2e6909514e8ff232981ea2cb03f078257bc5c847 | [
"MIT"
] | null | null | null | """ensembl interaction function"""
import os
import requests, sys
import yaml
import logging
import gffutils
from collections import defaultdict
import mammoth.logger as mylog
server = "http://rest.ensembl.org{ext}"
ext = "/sequence/id/{id}?type=cds"
prot = "/sequence/id/{id}?type=protein"
sequence = "/sequence/reg... | 38.418919 | 133 | 0.570172 | 353 | 2,843 | 4.458924 | 0.291785 | 0.015248 | 0.047649 | 0.043202 | 0.302414 | 0.219822 | 0.202668 | 0.16582 | 0.16582 | 0.16582 | 0 | 0.004455 | 0.289483 | 2,843 | 73 | 134 | 38.945205 | 0.774752 | 0.020401 | 0 | 0.233333 | 0 | 0 | 0.146508 | 0.040317 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.116667 | 0.016667 | 0.383333 | 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 |
e90a508ef0e30d0bdd4948ae4a031308ac6c728e | 10,317 | py | Python | pag_demo.py | Topaz1618/MeowFile | 33878abfb552128368ad6bbf5396d45f21906ce3 | [
"MIT"
] | null | null | null | pag_demo.py | Topaz1618/MeowFile | 33878abfb552128368ad6bbf5396d45f21906ce3 | [
"MIT"
] | null | null | null | pag_demo.py | Topaz1618/MeowFile | 33878abfb552128368ad6bbf5396d45f21906ce3 | [
"MIT"
] | null | null | null | __copyright__ = """ Copyright (c) 2021 HangYan. """
__license__ = 'MIT license'
__version__ = '1.0'
__author__ = 'topaz1668@gmail.com'
from models import conn_db, UploadFiles
from sqlalchemy import func, distinct, or_, and_
import datetime
from datetime import timedelta
import time
import math
def string_to_ts(str_t... | 29.226629 | 342 | 0.602113 | 1,243 | 10,317 | 4.747385 | 0.152051 | 0.052872 | 0.033045 | 0.033045 | 0.543298 | 0.523471 | 0.463989 | 0.447382 | 0.429758 | 0.3818 | 0 | 0.072094 | 0.24038 | 10,317 | 353 | 343 | 29.226629 | 0.680873 | 0.773287 | 0 | 0.297872 | 0 | 0 | 0.116164 | 0.02175 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085106 | false | 0 | 0.12766 | 0 | 0.276596 | 0.06383 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
e90aae947ee6b59303ae1471afa7007b7d9e535a | 4,490 | py | Python | test/orb.py | Tythos/oyb | 0653c4fa24c73f4f2cb2d1c1a29d318f6e9cbd79 | [
"MIT"
] | 1 | 2017-08-05T16:16:32.000Z | 2017-08-05T16:16:32.000Z | test/orb.py | Tythos/oyb | 0653c4fa24c73f4f2cb2d1c1a29d318f6e9cbd79 | [
"MIT"
] | null | null | null | test/orb.py | Tythos/oyb | 0653c4fa24c73f4f2cb2d1c1a29d318f6e9cbd79 | [
"MIT"
] | null | null | null | """
"""
import datetime
import unittest
import numpy
from math import pi
import oyb
from oyb import earth, anomaly
class ClassTests(unittest.TestCase):
def test_default(self):
o = oyb.Orbit()
def test_args(self):
o = oyb.Orbit(a_m=1.064e7, e=0.42607, i_rad=39.687*pi/180, O_rad=130.32*... | 38.376068 | 122 | 0.57951 | 753 | 4,490 | 3.293493 | 0.231076 | 0.141129 | 0.164516 | 0.082258 | 0.328629 | 0.25 | 0.175806 | 0.075 | 0.053226 | 0.033871 | 0 | 0.137534 | 0.264811 | 4,490 | 116 | 123 | 38.706897 | 0.613753 | 0 | 0 | 0.042553 | 0 | 0 | 0.001785 | 0 | 0 | 0 | 0 | 0 | 0.265957 | 1 | 0.191489 | false | 0 | 0.06383 | 0 | 0.297872 | 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 |
e90be1f05a4443793696e6d766c9b0e422e47832 | 11,656 | py | Python | src/python/WMComponent/JobArchiver/JobArchiverPoller.py | hufnagel/WMCore | b150cc725b68fc1cf8e6e0fa07c826226a4421fa | [
"Apache-2.0"
] | 1 | 2015-02-05T13:43:46.000Z | 2015-02-05T13:43:46.000Z | src/python/WMComponent/JobArchiver/JobArchiverPoller.py | hufnagel/WMCore | b150cc725b68fc1cf8e6e0fa07c826226a4421fa | [
"Apache-2.0"
] | 1 | 2016-10-13T14:57:35.000Z | 2016-10-13T14:57:35.000Z | src/python/WMComponent/JobArchiver/JobArchiverPoller.py | hufnagel/WMCore | b150cc725b68fc1cf8e6e0fa07c826226a4421fa | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
The actual jobArchiver algorithm
"""
import logging
import os
import os.path
import shutil
import tarfile
import threading
from Utils.IteratorTools import grouper
from Utils.Timers import timeFunction
from WMCore.DAOFactory import DAOFactory
from WMCore.JobStateMachine.ChangeState import Chan... | 34.081871 | 99 | 0.591455 | 1,115 | 11,656 | 6.156951 | 0.295964 | 0.033212 | 0.017334 | 0.019374 | 0.117407 | 0.098762 | 0.074727 | 0.064239 | 0.064239 | 0.055936 | 0 | 0.0038 | 0.322666 | 11,656 | 341 | 100 | 34.181818 | 0.865738 | 0.127316 | 0 | 0.283721 | 0 | 0 | 0.109093 | 0.013063 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0.004651 | 0.07907 | 0 | 0.190698 | 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 |
e90c9d97a14172ce328d8d9a5973b099b111668f | 5,127 | py | Python | mnist/mnist_dist.py | vibhatha/PytorchExamples | df356f120d6eef69a94586af93bff75af307582d | [
"Apache-2.0"
] | 3 | 2021-04-11T05:09:00.000Z | 2021-08-11T09:58:53.000Z | mnist/mnist_dist.py | vibhatha/PytorchExamples | df356f120d6eef69a94586af93bff75af307582d | [
"Apache-2.0"
] | 4 | 2021-03-12T21:51:01.000Z | 2021-03-14T16:03:13.000Z | mnist/mnist_dist.py | vibhatha/PytorchExamples | df356f120d6eef69a94586af93bff75af307582d | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import argparse
from math import ceil
from random import Random
from socket import socket
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.optim.lr_scheduler import StepLR
import... | 29.635838 | 122 | 0.577921 | 639 | 5,127 | 4.477308 | 0.280125 | 0.005592 | 0.008389 | 0.012583 | 0.041244 | 0.026564 | 0.009088 | 0 | 0 | 0 | 0 | 0.028865 | 0.29725 | 5,127 | 172 | 123 | 29.80814 | 0.765196 | 0.062415 | 0 | 0.072581 | 0 | 0 | 0.039666 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08871 | false | 0 | 0.129032 | 0.016129 | 0.282258 | 0.072581 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
e90e71723fb83c3e9db45cf94c16cac0b3962eb2 | 1,218 | py | Python | common/es/one_scripts.py | ltxhh/course | 45c8e4e436d9f20effccc7ed0844dfd07d8348b1 | [
"Apache-2.0"
] | null | null | null | common/es/one_scripts.py | ltxhh/course | 45c8e4e436d9f20effccc7ed0844dfd07d8348b1 | [
"Apache-2.0"
] | null | null | null | common/es/one_scripts.py | ltxhh/course | 45c8e4e436d9f20effccc7ed0844dfd07d8348b1 | [
"Apache-2.0"
] | null | null | null | # -*- codeing = utf-8 -*-
# @Time : 2022/4/12 13:43
# @Author : linyaxuan
# @File : one_scripts.py
# @Software : PyCharm
"""
将数据库数据导入es
"""
import pymysql
import traceback
from elasticsearch import Elasticsearch
def get_db_data():
# 打开数据库连接(ip/数据库用户名/登录密码/数据库名)
db = pymysql.connect(host="127.0.0.1:3306", use... | 23.882353 | 85 | 0.559113 | 149 | 1,218 | 4.42953 | 0.624161 | 0.015152 | 0.027273 | 0.042424 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052448 | 0.295567 | 1,218 | 51 | 86 | 23.882353 | 0.716783 | 0.183908 | 0 | 0 | 0 | 0 | 0.149284 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0.032258 | 0.096774 | 0 | 0.193548 | 0.096774 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
e910c8bb7a93d643dfe5883064380eb1ced0913d | 1,343 | py | Python | doubleRedirect.py | ebraminio/DeltaBot | 14d427ca644c4e842f72802a0e07adcaecda7097 | [
"CC0-1.0"
] | 10 | 2016-08-09T21:28:27.000Z | 2021-12-23T17:22:04.000Z | doubleRedirect.py | ebraminio/DeltaBot | 14d427ca644c4e842f72802a0e07adcaecda7097 | [
"CC0-1.0"
] | 9 | 2016-12-31T10:48:11.000Z | 2020-07-22T20:52:06.000Z | doubleRedirect.py | ebraminio/DeltaBot | 14d427ca644c4e842f72802a0e07adcaecda7097 | [
"CC0-1.0"
] | 11 | 2017-01-24T15:51:57.000Z | 2022-02-10T00:35:18.000Z | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# licensed under CC-Zero: https://creativecommons.org/publicdomain/zero/1.0
import pywikibot
from pywikibot.data import api
import re
site = pywikibot.Site('wikidata', 'wikidata')
site.login()
repo = site.data_repository()
def redirect(fromId, toId):
# get... | 24.87037 | 78 | 0.527923 | 135 | 1,343 | 5.185185 | 0.533333 | 0.042857 | 0.06 | 0.077143 | 0.114286 | 0.114286 | 0.114286 | 0.114286 | 0.114286 | 0 | 0 | 0.019459 | 0.311243 | 1,343 | 53 | 79 | 25.339623 | 0.737297 | 0.102755 | 0 | 0.195122 | 0 | 0 | 0.162162 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0.02439 | 0.073171 | 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 |
e914dc16d8c9fee0bbb11e912b41acdddd08ad05 | 1,237 | py | Python | leetcode/permutation.py | huynonstop/solving-everything | 21c7c32f9e482e1e88d5ec8a03f8815d28f7ef39 | [
"MIT"
] | null | null | null | leetcode/permutation.py | huynonstop/solving-everything | 21c7c32f9e482e1e88d5ec8a03f8815d28f7ef39 | [
"MIT"
] | null | null | null | leetcode/permutation.py | huynonstop/solving-everything | 21c7c32f9e482e1e88d5ec8a03f8815d28f7ef39 | [
"MIT"
] | null | null | null | from typing import List
class Solution:
def permuteUnique(self, nums: List[int]) -> List[List[int]]:
return permute_unique(nums)
# https://leetcode.com/problems/permutations-ii/discuss/18602/9-line-python-solution-with-1-line-to-handle-duplication-beat-99-of-others-%3A-)
def permute_unique(nums):
r... | 22.089286 | 142 | 0.501213 | 163 | 1,237 | 3.742331 | 0.361963 | 0.065574 | 0.083607 | 0.065574 | 0.134426 | 0.078689 | 0.078689 | 0.078689 | 0.078689 | 0 | 0 | 0.02402 | 0.36055 | 1,237 | 55 | 143 | 22.490909 | 0.747156 | 0.113177 | 0 | 0.365854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121951 | false | 0 | 0.02439 | 0.02439 | 0.292683 | 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 |
e91d0411a8febadb09ca20268e15414ccded8163 | 1,543 | py | Python | pedurma/proofreading.py | Esukhia/pedurma | 334b5957db30f514d396bd9defc9e9381f5b290b | [
"MIT"
] | null | null | null | pedurma/proofreading.py | Esukhia/pedurma | 334b5957db30f514d396bd9defc9e9381f5b290b | [
"MIT"
] | null | null | null | pedurma/proofreading.py | Esukhia/pedurma | 334b5957db30f514d396bd9defc9e9381f5b290b | [
"MIT"
] | 1 | 2021-11-04T07:04:05.000Z | 2021-11-04T07:04:05.000Z | from pedurma.pecha import ProofreadNotePage
from pedurma.utils import from_yaml
def get_note_page_img_link(text_id, pg_num, repo_path):
text_meta = from_yaml((repo_path / text_id / "meta.yml"))
image_grp_id = text_meta.get("img_grp_id", "")
img_link = f"https://iiif.bdrc.io/bdr:{image_grp_id}::{image_grp_... | 35.068182 | 116 | 0.706416 | 253 | 1,543 | 3.905138 | 0.245059 | 0.066802 | 0.064777 | 0.07085 | 0.32996 | 0.271255 | 0.225709 | 0.138664 | 0.138664 | 0.138664 | 0 | 0.009382 | 0.171095 | 1,543 | 43 | 117 | 35.883721 | 0.763096 | 0 | 0 | 0.058824 | 0 | 0.029412 | 0.169799 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.058824 | 0 | 0.264706 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
e91ff99a3728e01c9518fdfe79d256b14ae28af1 | 353 | py | Python | DataBase Sqlite3/NoteMeilheur.py | otmanabdoun/IHM-Python | 624e961c2f6966b98bf2c1bc4dd276b812954ba1 | [
"Apache-2.0"
] | 3 | 2021-12-08T10:34:55.000Z | 2022-01-17T21:02:40.000Z | NoteMeilheur.py | otmanabdoun/IHM-Python | 624e961c2f6966b98bf2c1bc4dd276b812954ba1 | [
"Apache-2.0"
] | null | null | null | NoteMeilheur.py | otmanabdoun/IHM-Python | 624e961c2f6966b98bf2c1bc4dd276b812954ba1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 3 04:38:07 2021
@author: User
"""
import sqlite3
connexion = sqlite3.connect("dbM2IQL.db")
curseur = connexion.cursor()
curseur.execute("""SELECT e.Nom, c.note FROM Etudiant as e INNER JOIN
CF as c ON e.id = c.fk_etudiant
ORDER BY c.note DESC LIMIT ... | 25.214286 | 70 | 0.651558 | 56 | 353 | 4.089286 | 0.767857 | 0.043668 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05694 | 0.203966 | 353 | 14 | 71 | 25.214286 | 0.758007 | 0.206799 | 0 | 0 | 0 | 0 | 0.496154 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e924f0db03f4f2a8c126f7c109a518852a2aa24a | 6,850 | py | Python | ProcessingData/get_gp-bias.py | gomes-lab/SARA_ScienceAdvances | 61848d1c92a66bd58c8c195e5b2bb250ef8efb51 | [
"MIT"
] | 1 | 2022-01-13T12:17:29.000Z | 2022-01-13T12:17:29.000Z | ProcessingData/get_gp-bias.py | gomes-lab/SARA_ScienceAdvances | 61848d1c92a66bd58c8c195e5b2bb250ef8efb51 | [
"MIT"
] | null | null | null | ProcessingData/get_gp-bias.py | gomes-lab/SARA_ScienceAdvances | 61848d1c92a66bd58c8c195e5b2bb250ef8efb51 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Script to extract the gp bias features from microscopy images
"""
import sys
import json
import os
import copy as cp
import numpy as np
import glob
import matplotlib.pyplot as plt
import matplotlib
from numpy.polynomial import polynomial
import offsets as GS
from probability_dist import *
imp... | 35.492228 | 163 | 0.646277 | 1,053 | 6,850 | 4.026591 | 0.265907 | 0.026415 | 0.033726 | 0.008491 | 0.167217 | 0.123821 | 0.049057 | 0.049057 | 0.049057 | 0.049057 | 0 | 0.029478 | 0.217518 | 6,850 | 192 | 164 | 35.677083 | 0.761194 | 0.132555 | 0 | 0.014286 | 0 | 0 | 0.065088 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.128571 | 0.007143 | 0.185714 | 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 |
e925522b3d3915457215980e5bca266c8fd2ff38 | 2,448 | py | Python | monitoring/automation/monitor.py | shane0/flask-website-monitor | 39031b9207c97baef4b10a792e038f241bcdc857 | [
"MIT"
] | 1 | 2017-04-13T05:29:15.000Z | 2017-04-13T05:29:15.000Z | monitoring/automation/monitor.py | shane0/flask-website-monitor | 39031b9207c97baef4b10a792e038f241bcdc857 | [
"MIT"
] | 1 | 2017-04-12T23:44:58.000Z | 2017-04-12T23:44:58.000Z | monitoring/automation/monitor.py | shane0/flask-website-monitor | 39031b9207c97baef4b10a792e038f241bcdc857 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
A website monitor.
"""
import sys
import traceback
import requests
import re
import json
import datetime
DEFAULT_CONFIG_FILE = 'config.json'
def check():
headers = {
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8'... | 28.137931 | 126 | 0.541258 | 324 | 2,448 | 4.021605 | 0.42284 | 0.00921 | 0.027629 | 0.021489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032221 | 0.290033 | 2,448 | 86 | 127 | 28.465116 | 0.717491 | 0.069853 | 0 | 0.066667 | 0 | 0.05 | 0.335544 | 0.06145 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.1 | 0.016667 | 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 |
e92912ace35fc868f85b6a3bdb13260570590334 | 412 | py | Python | Chapter03/c3_27_datadotworld_1.py | andrewjcoxon/Hands-On-Data-Science-with-Anaconda | 82504a059ecd284b3599fa9af2b3eb6bbd6e28f3 | [
"MIT"
] | 25 | 2018-06-25T16:21:09.000Z | 2022-02-08T09:28:29.000Z | Hands-On-Data-Science-with-Anaconda-master/Hands-On-Data-Science-with-Anaconda-master/Chapter03/c3_27_datadotworld_1.py | manual123/Nacho-Jupyter-Notebooks | e75523434b1a90313a6b44e32b056f63de8a7135 | [
"MIT"
] | null | null | null | Hands-On-Data-Science-with-Anaconda-master/Hands-On-Data-Science-with-Anaconda-master/Chapter03/c3_27_datadotworld_1.py | manual123/Nacho-Jupyter-Notebooks | e75523434b1a90313a6b44e32b056f63de8a7135 | [
"MIT"
] | 17 | 2018-06-15T02:55:30.000Z | 2022-03-09T15:24:42.000Z | """
Name : c3_27_datadotworld_1.py
Book : Hands-on Data Science with Anaconda)
Publisher: Packt Publishing Ltd.
Author : Yuxing Yan and James Yan
Date : 1/15/2018
email : yany@canisius.edu
paulyxy@hotmail.com
"""
import datadotworld as dw
dataset = 'jonloyens/an-intro-to-dat... | 27.466667 | 51 | 0.694175 | 56 | 412 | 5.017857 | 0.839286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033846 | 0.211165 | 412 | 15 | 52 | 27.466667 | 0.830769 | 0.565534 | 0 | 0 | 0 | 0 | 0.246835 | 0.246835 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
e92a3ce5abab1bfe02516472d0fc6c56a482d48d | 15,964 | py | Python | strutil.py | IloveKanade/k3fmt | 13a81562b9fc706dbf7fc05fcae130260bc2551d | [
"MIT"
] | null | null | null | strutil.py | IloveKanade/k3fmt | 13a81562b9fc706dbf7fc05fcae130260bc2551d | [
"MIT"
] | 3 | 2021-08-06T07:24:40.000Z | 2022-03-23T06:58:36.000Z | strutil.py | IloveKanade/k3fmt | 13a81562b9fc706dbf7fc05fcae130260bc2551d | [
"MIT"
] | 1 | 2021-08-04T08:41:33.000Z | 2021-08-04T08:41:33.000Z | import re
import os
import errno
import string
import subprocess
import k3color
listtype = (tuple, list)
invisible_chars = ''.join(map(chr, list(range(0, 32))))
invisible_chars_re = re.compile('[%s]' % re.escape(invisible_chars))
def break_line(linestr, width):
lines = linestr.splitlines()
rst = []
spa... | 26.084967 | 103 | 0.5057 | 2,051 | 15,964 | 3.862019 | 0.163335 | 0.01515 | 0.00909 | 0.008837 | 0.144552 | 0.072844 | 0.035602 | 0.035602 | 0.01818 | 0.010605 | 0 | 0.025446 | 0.38211 | 15,964 | 611 | 104 | 26.12766 | 0.777575 | 0.330055 | 0 | 0.205212 | 0 | 0 | 0.017958 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052117 | false | 0.006515 | 0.019544 | 0.006515 | 0.153094 | 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 |
e92ba6f82fbd7b5de0f238a51cd87521f2ccd146 | 16,920 | py | Python | camera.py | Euclideon/udSDKPython | a82157ab6382fda6291bdcca9ec2a51203b95b2a | [
"MIT"
] | 4 | 2020-09-03T05:35:15.000Z | 2021-11-08T04:31:55.000Z | camera.py | Euclideon/udSDKPython | a82157ab6382fda6291bdcca9ec2a51203b95b2a | [
"MIT"
] | 1 | 2020-08-18T06:49:21.000Z | 2020-08-18T06:49:21.000Z | camera.py | Euclideon/udSDKPython | a82157ab6382fda6291bdcca9ec2a51203b95b2a | [
"MIT"
] | 1 | 2020-09-11T07:52:32.000Z | 2020-09-11T07:52:32.000Z | import logging
import math
import numpy as np
import pyglet
import udSDK
logger = logging.getLogger(__name__)
class Camera():
"""
Base camera class for Euclideon udSDK Python Sample
This sets the default behaviour for a perspective camera
Stores the state of the camera, and provides functions for modifyting
... | 29.32409 | 176 | 0.642317 | 2,326 | 16,920 | 4.6092 | 0.171539 | 0.006902 | 0.005317 | 0.015017 | 0.280011 | 0.210335 | 0.187389 | 0.136275 | 0.130118 | 0.130118 | 0 | 0.022629 | 0.232151 | 16,920 | 576 | 177 | 29.375 | 0.802571 | 0.177896 | 0 | 0.317585 | 0 | 0 | 0.068487 | 0 | 0 | 0 | 0 | 0.001736 | 0 | 1 | 0.128609 | false | 0.018373 | 0.013123 | 0.005249 | 0.181102 | 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 |
e932fb4ec343373146508adfa905b3c8915cb66b | 4,831 | py | Python | train.py | ppujol76/-Pere_Transformers | e267bcc6559c998accaed647cacbff253031f8b0 | [
"MIT"
] | null | null | null | train.py | ppujol76/-Pere_Transformers | e267bcc6559c998accaed647cacbff253031f8b0 | [
"MIT"
] | null | null | null | train.py | ppujol76/-Pere_Transformers | e267bcc6559c998accaed647cacbff253031f8b0 | [
"MIT"
] | 1 | 2021-06-21T08:40:18.000Z | 2021-06-21T08:40:18.000Z | import torch
import os
from model.visualization import Visualization
from panel.main import tensorboard_panel
from torch.utils.data.dataset import Subset
import random
import numpy as np
def write_on_tensorboard(epoch:int, loss:int, bleu:int, image, expected_captions, generated_captions):
tensorboard_panel.add_senten... | 35.262774 | 114 | 0.673981 | 661 | 4,831 | 4.751891 | 0.291982 | 0.031837 | 0.022923 | 0.026743 | 0.201528 | 0.149316 | 0.063037 | 0.044572 | 0.044572 | 0.044572 | 0 | 0.01303 | 0.126268 | 4,831 | 136 | 115 | 35.522059 | 0.731106 | 0.195819 | 0 | 0.075 | 0 | 0 | 0.126599 | 0.102323 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.0875 | 0 | 0.1875 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e933799d41eabf2ce3d0578ad558fcf9ab8d220d | 2,251 | py | Python | views/probabilidade.py | pxcx/ambar-backend | 350baabb492e4fbc1002ea851d1cef4fc999b81a | [
"MIT"
] | null | null | null | views/probabilidade.py | pxcx/ambar-backend | 350baabb492e4fbc1002ea851d1cef4fc999b81a | [
"MIT"
] | null | null | null | views/probabilidade.py | pxcx/ambar-backend | 350baabb492e4fbc1002ea851d1cef4fc999b81a | [
"MIT"
] | null | null | null | from flask import jsonify
from sqlalchemy import func
from datetime import datetime, date
from models.previsao import Previsao, db
def configure(app):
# /probabilidade - retorna a probabilidade total de chuva
# - inicio (YYYY-MM-DD)
# - fim (YYYY-MM-DD)
@app.route('/probabilidade/<inicio>/<fim>', metho... | 39.491228 | 97 | 0.52821 | 250 | 2,251 | 4.7 | 0.368 | 0.051064 | 0.061277 | 0.074894 | 0.251915 | 0.194043 | 0.194043 | 0.194043 | 0.161702 | 0.161702 | 0 | 0.004098 | 0.349622 | 2,251 | 57 | 98 | 39.491228 | 0.798497 | 0.099067 | 0 | 0.146341 | 0 | 0 | 0.06383 | 0.014349 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.097561 | 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 |
e937f0e5ec885071b7daceb7fa5456d999a1e95f | 293 | py | Python | scripts/makeNegativesList.py | jccaicedo/localization-agent | d280acf355307b74e68dca9ec80ab293f0d18642 | [
"MIT"
] | 8 | 2016-11-20T19:43:45.000Z | 2020-12-09T04:58:05.000Z | scripts/makeNegativesList.py | jccaicedo/localization-agent | d280acf355307b74e68dca9ec80ab293f0d18642 | [
"MIT"
] | 45 | 2015-05-04T20:41:05.000Z | 2017-07-17T12:04:13.000Z | scripts/makeNegativesList.py | jccaicedo/localization-agent | d280acf355307b74e68dca9ec80ab293f0d18642 | [
"MIT"
] | 9 | 2016-11-20T19:43:46.000Z | 2020-09-01T21:01:54.000Z | import sys,os
import utils as cu
params = cu.loadParams('fullList positivesList output')
full = [x for x in open(params['fullList'])]
positives = [x for x in open(params['positivesList'])]
out = open(params['output'],'w')
for r in full:
if r not in positives:
out.write(r)
out.close()
| 22.538462 | 55 | 0.692833 | 48 | 293 | 4.229167 | 0.5 | 0.147783 | 0.049261 | 0.068966 | 0.167488 | 0.167488 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16041 | 293 | 12 | 56 | 24.416667 | 0.825203 | 0 | 0 | 0 | 0 | 0 | 0.194539 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 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 |
e93a77efc359563f0911c10f45a8c7e3f5ed8fd4 | 1,354 | py | Python | tests/test_model.py | alexdawn/rollinghub | 6043c12520d7e0b0596f28c166616c1014e1f870 | [
"MIT"
] | null | null | null | tests/test_model.py | alexdawn/rollinghub | 6043c12520d7e0b0596f28c166616c1014e1f870 | [
"MIT"
] | 11 | 2019-08-18T21:37:28.000Z | 2022-03-21T22:17:37.000Z | tests/test_model.py | alexdawn/rollinghub | 6043c12520d7e0b0596f28c166616c1014e1f870 | [
"MIT"
] | null | null | null | import pytest
from rollinghub.db import get_db
def test_index(client, auth):
response = client.get('/')
assert b"Log In" in response.data
assert b"Register" in response.data
auth.login()
response = client.get('/')
assert b'Log Out' in response.data
assert b'test title' in response.data
... | 27.08 | 72 | 0.656573 | 197 | 1,354 | 4.441624 | 0.370558 | 0.056 | 0.096 | 0.091429 | 0.257143 | 0.061714 | 0 | 0 | 0 | 0 | 0 | 0.024954 | 0.200886 | 1,354 | 49 | 73 | 27.632653 | 0.783734 | 0.087149 | 0 | 0.25 | 0 | 0 | 0.19237 | 0 | 0 | 0 | 0 | 0 | 0.305556 | 1 | 0.111111 | false | 0 | 0.055556 | 0 | 0.166667 | 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 |
e93be486b0635edc83619c16da55bfa370ed7c0e | 19,672 | py | Python | openpype/hosts/unreal/plugins/load/load_camera.py | Tilix4/OpenPype | 8909bd890170880aa7ec8b673abaa25a9bdf40f2 | [
"MIT"
] | 1 | 2022-02-08T15:40:41.000Z | 2022-02-08T15:40:41.000Z | openpype/hosts/unreal/plugins/load/load_camera.py | zafrs/OpenPype | 4b8e7e1ed002fc55b31307efdea70b0feaed474f | [
"MIT"
] | null | null | null | openpype/hosts/unreal/plugins/load/load_camera.py | zafrs/OpenPype | 4b8e7e1ed002fc55b31307efdea70b0feaed474f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Load camera from FBX."""
from pathlib import Path
import unreal
from unreal import EditorAssetLibrary
from unreal import EditorLevelLibrary
from unreal import EditorLevelUtils
from openpype.pipeline import (
AVALON_CONTAINER_ID,
legacy_io,
)
from openpype.hosts.unreal.api import plu... | 35.509025 | 79 | 0.573861 | 2,083 | 19,672 | 5.167547 | 0.136822 | 0.012542 | 0.017559 | 0.013935 | 0.490803 | 0.404496 | 0.353586 | 0.304348 | 0.246284 | 0.222315 | 0 | 0.004503 | 0.333926 | 19,672 | 553 | 80 | 35.573237 | 0.816988 | 0.102176 | 0 | 0.402469 | 0 | 0 | 0.072368 | 0.019108 | 0 | 0 | 0 | 0 | 0.004938 | 1 | 0.014815 | false | 0 | 0.049383 | 0 | 0.083951 | 0.004938 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |