text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: elenaviter/rasa path: /rasa/nlu/featurizers/featurizer.py
import numpy as np
import scipy.sparse
from typing import Any, Text, Union, Optional
from rasa.nlu.training_data import Message
from rasa.nlu.components import Component
from rasa.nlu.constants import SPARSE_FEATURE_NAMES, DENSE_FEATURE_NA... | code_fim | hard | {
"lang": "python",
"repo": "elenaviter/rasa",
"path": "/rasa/nlu/featurizers/featurizer.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Featurizer(Component):
@staticmethod
def _combine_with_existing_dense_features(
message: Message,
additional_features: Any,
feature_name: Text = DENSE_FEATURE_NAMES[TEXT_ATTRIBUTE],
) -> Any:
if message.get(feature_name) is not None:
if len(me... | code_fim | hard | {
"lang": "python",
"repo": "elenaviter/rasa",
"path": "/rasa/nlu/featurizers/featurizer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: songfuture/asv-subtools path: /pytorch/libs/nnet/framework.py
# -*- coding:utf-8 -*-
# Copyright xmuspeech (Author: Snowdar 2019-07-01)
import torch.nn
import libs.support.utils as utils
#### Use 'from libs.nnet import *' in your model.py to use all components and loss functions.
## Function... | code_fim | hard | {
"lang": "python",
"repo": "songfuture/asv-subtools",
"path": "/pytorch/libs/nnet/framework.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def load_transform_state_dict(self, state_dict):
"""It is used in transform-learning.
"""
assert isinstance(self.transform_keys, list)
assert isinstance(self.rename_transform_keys, dict)
remaining = { utils.key_to_value(self.rename_transform_keys, k, False):v f... | code_fim | hard | {
"lang": "python",
"repo": "songfuture/asv-subtools",
"path": "/pytorch/libs/nnet/framework.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Rotation followed by the inverse rotation should leave
# everything the same (except that the frame data will be either a
# 1 or a series of 1s)
np.random.seed(hash("test_rotation_inversion") % 4294967294) # Use mod to get in an acceptable range
W_in = w()
assert W_in.ensure_val... | code_fim | hard | {
"lang": "python",
"repo": "moble/scri",
"path": "/tests/test_rotations.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: moble/scri path: /tests/test_rotations.py
# Copyright (c) 2015, Michael Boyle
# See LICENSE file for details: <https://github.com/moble/scri/blob/master/LICENSE>
import pytest
import numpy as np
from numpy import *
import quaternion
import spherical_functions as sf
import scri
from conftest imp... | code_fim | hard | {
"lang": "python",
"repo": "moble/scri",
"path": "/tests/test_rotations.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_convert_nonnumeric_value():
"""Test exception is thrown for nonnumeric type."""
with pytest.raises(TypeError):
pressure_util.convert("a", PRESSURE_HPA, PRESSURE_INHG)
def test_convert_from_hpascals():
"""Test conversion from hPA to other units."""
hpascals = 1000
ass... | code_fim | medium | {
"lang": "python",
"repo": "BenWoodford/home-assistant",
"path": "/tests/util/test_pressure.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BenWoodford/home-assistant path: /tests/util/test_pressure.py
"""Test Home Assistant pressure utility functions."""
import pytest
from homeassistant.const import (
PRESSURE_HPA,
PRESSURE_INHG,
PRESSURE_MBAR,
PRESSURE_PA,
PRESSURE_PSI,
)
import homeassistant.util.pressure as p... | code_fim | medium | {
"lang": "python",
"repo": "BenWoodford/home-assistant",
"path": "/tests/util/test_pressure.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_author(metadata):
author = filter(lambda x: '##author' in x, metadata)
author = author[0][9: len(author[0])]
return author
def get_date(metadata):
date = filter(lambda x: '##date' in x, metadata)
date = date[0][7: len(date[0])]
return date
def get_topic(metadata):
top... | code_fim | hard | {
"lang": "python",
"repo": "fadikar/gurukul.github.io",
"path": "/scripts/gen_posts.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fadikar/gurukul.github.io path: /scripts/gen_posts.py
## This script contains useful functions to generate a html page given a
## blog post txt file. It also creates meta data for the blog posts to be
## used to make summaries.
## Input should be a txt file of specific format
def read_file(in... | code_fim | hard | {
"lang": "python",
"repo": "fadikar/gurukul.github.io",
"path": "/scripts/gen_posts.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> date = filter(lambda x: '##date' in x, metadata)
date = date[0][7: len(date[0])]
return date
def get_topic(metadata):
topic = filter(lambda x: '##topic' in x, metadata)
topic = topic[0][8: len(topic[0])]
return topic
def modify_template(file_to_modify, string2find, replace_value,... | code_fim | hard | {
"lang": "python",
"repo": "fadikar/gurukul.github.io",
"path": "/scripts/gen_posts.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Regardless, the strncpy call included a specific size, and that's precisely the maximum that was read in:
0:002> dd eax
006d2a08 54415453 41412053 41414141 41414141
006d2a18 41414141 41414141 41414141 41414141
006d2a28 41414141 41414141 41414141 41414141
006d2a38 41414141 41414141 41414141 41414141
00... | code_fim | hard | {
"lang": "python",
"repo": "SYANiDE-/VulnServer",
"path": "/OSED/not_exploitable/stats.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SYANiDE-/VulnServer path: /OSED/not_exploitable/stats.py
#!/usr/bin/env python3
import os, sys, re, socket, binascii
from struct import pack, unpack
from IPython import embed
### ((cmd.exe /c "taskkill /F /IM vulnserver.exe" && timeout 3 && START /B "" "C:\users\admin\desktop\current_thing\vulns... | code_fim | hard | {
"lang": "python",
"repo": "SYANiDE-/VulnServer",
"path": "/OSED/not_exploitable/stats.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># def unpacklatin(fmt, inp):
# return unpack(fmt, inp.encode('latin-1'))[0]
# def uniesc_to_bytestr(instring):
# r""" '\\x58\\x59\\x5a\\xa0' -> 'XYZ\xa0'
# hexstrings in from cli, ex., argparse """
# return bytes(instring, 'utf-8').decode("unicode_escape")
# def bytestr_to_lon... | code_fim | hard | {
"lang": "python",
"repo": "SYANiDE-/VulnServer",
"path": "/OSED/not_exploitable/stats.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif general_command == "ChangeAll":
substring = command[1]
replacement = command[2]
if substring in message:
message = message.replace(substring, replacement)
print(message)
print(f"You have a new text message: {message}")<|fim_prefix|># repo: eclipse-ib/Softw... | code_fim | hard | {
"lang": "python",
"repo": "eclipse-ib/Software-University-Fundamentals_Module",
"path": "/12-Exam_preparation/1-Secret_Chat.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eclipse-ib/Software-University-Fundamentals_Module path: /12-Exam_preparation/1-Secret_Chat.py
message = input()
while True:
command = input().split(":|:")
if command[0] == "Reveal":
break
<|fim_suffix|> if general_command == "InsertSpace":
index = int(command[1])
... | code_fim | medium | {
"lang": "python",
"repo": "eclipse-ib/Software-University-Fundamentals_Module",
"path": "/12-Exam_preparation/1-Secret_Chat.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(config_path, "w+") as f:
config = source
f.write(config)
if not args.config_dist_only:
print(" requirements.txt")
# Create requirements.txt
requirements_path = os.path.join(current_dir, "requirements.txt")
if not o... | code_fim | hard | {
"lang": "python",
"repo": "skoczen/will",
"path": "/will/scripts/generate_will_project.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: skoczen/will path: /will/scripts/generate_will_project.py
#!/usr/bin/env python
import argparse
import os
import stat
import sys
from six.moves import input
from clint.textui import puts
from will.utils import print_head
SERVICE_BACKENDS = ('Slack', 'HipChat', 'Rocket.chat', 'Shell')
PROJECT_RO... | code_fim | hard | {
"lang": "python",
"repo": "skoczen/will",
"path": "/will/scripts/generate_will_project.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Create config.py
print(" config.py.dist")
config_path = os.path.join(current_dir, "config.py.dist")
if not os.path.exists(config_path) or ask_user("! config.py.dist exists. Overwrite it?"):
with open(os.path.join(PROJECT_ROOT, "config.py.dist"), "r") as source_f:
... | code_fim | hard | {
"lang": "python",
"repo": "skoczen/will",
"path": "/will/scripts/generate_will_project.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
# index_from_json("geo", "circle_geo.json", "children")
# index_from_json("ms", "circle_ms.json", "children")
index_from_json("sweet", "clusters_sweet.json", "children")<|fim_prefix|># repo: jdramani/599-2 path: /q11/tika-similarity-edited/indexer.py
import json
imp... | code_fim | hard | {
"lang": "python",
"repo": "jdramani/599-2",
"path": "/q11/tika-similarity-edited/indexer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jdramani/599-2 path: /q11/tika-similarity-edited/indexer.py
import json
import os
def index_from_json(type, file_name, child_node):
with open(file_name, 'r') as f:
json_obj = json.load(f)
obj_dict = {}
walk_json(type, json_obj, "", child_node, obj_dict)
with open... | code_fim | medium | {
"lang": "python",
"repo": "jdramani/599-2",
"path": "/q11/tika-similarity-edited/indexer.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: j4c0bs/choppy path: /choppy/user_options.py
#! usr/bin/env/ python3
"""Parser for CLI user options"""
import argparse
import getpass
import os
import sys
from choppy.version import VERSION
# ------------------------------------------------------------------------------
def confirm_directory(s... | code_fim | hard | {
"lang": "python",
"repo": "j4c0bs/choppy",
"path": "/choppy/user_options.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> load_keypass_options(chp, pfx='en')
# --------------------------------------------------------------------------
mrg_grp = mrg.add_argument_group('Merge')
mrg_grp.add_argument(
'input', nargs='+', type=argparse.FileType('rb'), metavar='infile',
help='input files to decryp... | code_fim | hard | {
"lang": "python",
"repo": "j4c0bs/choppy",
"path": "/choppy/user_options.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
level_ids: array of shape (N,), per-box level indices,
ranging from coarse to fine
"""
im_area = im_size[0] * im_size[1]
widths = boxes[:, 2] - boxes[:, 0] + 1.0
heights = boxes[:, 3] - boxes[:, 1] + 1.0
areas = widths * heights
# if e.g. the finest... | code_fim | hard | {
"lang": "python",
"repo": "simonmeister/old-motion-rcnn",
"path": "/lib/layers/assign_to_levels.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
boxes: array of shape (N, 4), [[x1, y1, x2, y2], ...]
im_size: [height, width] of full image
num_levels: number of pyramid levels
finest_stride: average stride of box side length
Returns:
level_ids: array of shape (N,), per-box level indices,
... | code_fim | medium | {
"lang": "python",
"repo": "simonmeister/old-motion-rcnn",
"path": "/lib/layers/assign_to_levels.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: simonmeister/old-motion-rcnn path: /lib/layers/assign_to_levels.py
# --------------------------------------------------------
# Motion R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Simon Meister
# --------------------------------------------------------
from __futu... | code_fim | medium | {
"lang": "python",
"repo": "simonmeister/old-motion-rcnn",
"path": "/lib/layers/assign_to_levels.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vluk/cutieBot path: /utils/werebear/werebeargame.py
from discord.ext import commands
import asyncio
from utils import bitecoin
from utils.bitecoin import add_exp, add_coins
from utils.werebear.roles import Stoner, Looker, Stealer, Provocateur, Huntsman, Sleepyhead, Sloshed, Copycat
from utils.... | code_fim | hard | {
"lang": "python",
"repo": "vluk/cutieBot",
"path": "/utils/werebear/werebeargame.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.players[player] = None
def set_roles(self, role_list):
self.roles = role_list
def run(self):
if self.phase != 1:
print("woops")
self.phase = 2
def lock(self):
if self.phase != 0:
print("woops")
self.phase = 1
... | code_fim | medium | {
"lang": "python",
"repo": "vluk/cutieBot",
"path": "/utils/werebear/werebeargame.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print("possibilities", len(found))
print("solution", max(found))<|fim_prefix|># repo: kiike/aoc path: /2019/7/find.py
#!/usr/bin/env python
import itertools
import subprocess
<|fim_middle|>
found = []
with open("input") as f:
program = f.read()
settings = [str(e) for e in range(5, 10)]
for settin... | code_fim | hard | {
"lang": "python",
"repo": "kiike/aoc",
"path": "/2019/7/find.py",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kiike/aoc path: /2019/7/find.py
#!/usr/bin/env python
import itertools
import subprocess
<|fim_suffix|>print("possibilities", len(found))
print("solution", max(found))<|fim_middle|>found = []
with open("input") as f:
program = f.read()
settings = [str(e) for e in range(5, 10)]
for settin... | code_fim | hard | {
"lang": "python",
"repo": "kiike/aoc",
"path": "/2019/7/find.py",
"mode": "psm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Hramchenko/NCC path: /masked_normxcorr.py
import numpy as np
import cv2
def masked_normxcorr(img, templ, mask):
templ *= mask
mask_sum = mask.sum()
templ_sum = templ.sum()
templ_mean = templ_sum/mask_sum
<|fim_suffix|> Q1 = cv2.filter2D(img, -1, templ_norm, borderType=cv2.... | code_fim | medium | {
"lang": "python",
"repo": "Hramchenko/NCC",
"path": "/masked_normxcorr.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Q1 = cv2.filter2D(img, -1, templ_norm, borderType=cv2.BORDER_CONSTANT)
Q2 = mean_img*templ_norm_sum
Q = Q1 - Q2
D1 = cv2.filter2D(img*img, -1, mask, borderType=cv2.BORDER_CONSTANT)
D2 = -2*mean_img*sum_img
D3 = mask_sum*(mean_img*mean_img)
D4 = (templ_norm*templ_norm).sum()
... | code_fim | medium | {
"lang": "python",
"repo": "Hramchenko/NCC",
"path": "/masked_normxcorr.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def for_week(self, season: int, week: int) -> List[Game]:
query = Query("week", "==", week)
return self.firestore.where(GameRepository.path(season), query)
def delete_all(self, season: int):
self.firestore.delete_all(GameRepository.path(season))<|fim_prefix|># repo: mdryde... | code_fim | hard | {
"lang": "python",
"repo": "mdryden/110yards",
"path": "/yards_py/domain/repositories/game_repository.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mdryden/110yards path: /yards_py/domain/repositories/game_repository.py
from yards_py.core.base_repository import Query
from typing import List
from google.cloud.firestore_v1.transaction import Transaction
from yards_py.core.firestore_proxy import FirestoreProxy
from yards_py.domain.entities.ga... | code_fim | hard | {
"lang": "python",
"repo": "mdryden/110yards",
"path": "/yards_py/domain/repositories/game_repository.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.firestore.get_all(GameRepository.path(season), transaction)
def set(self, season, game: Game, transaction: Transaction = None):
return self.firestore.set(GameRepository.path(season), game, transaction)
def for_week(self, season: int, week: int) -> List[Game]:
... | code_fim | medium | {
"lang": "python",
"repo": "mdryden/110yards",
"path": "/yards_py/domain/repositories/game_repository.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sammous/biasimpact path: /biasimpacter/tests/conftest.py
import pytest
import sys
import os
from mock import patch, Mock, MagicMock
sys.path.append(
os.path.join(
os.path.dirname(__file__),
'..',
'app'))
def _mock_response(
status=200,
content="CONTEN... | code_fim | medium | {
"lang": "python",
"repo": "sammous/biasimpact",
"path": "/biasimpacter/tests/conftest.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> uri=None,
database=None,
collection=None,
build_index=None):
mock_mongo = Mock()
mock_collection = MagicMock()
mock_mongo.collection = mock_collection
mock_collection.insert_one = Mock()
return mock_mongo<|fim_prefix|># repo: sammous/biasimpact path: /b... | code_fim | hard | {
"lang": "python",
"repo": "sammous/biasimpact",
"path": "/biasimpacter/tests/conftest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
DebuggerNonUserCodeAttribute()
"""
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __reduce_ex_... | code_fim | medium | {
"lang": "python",
"repo": "shnlmn/Rhino-Grasshopper-Scripts",
"path": "/IronPythonStubs/release/stubs.min/System/Diagnostics/__init___parts/DebuggerNonUserCodeAttribute.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> DebuggerNonUserCodeAttribute()
"""
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __reduce_ex__(s... | code_fim | medium | {
"lang": "python",
"repo": "shnlmn/Rhino-Grasshopper-Scripts",
"path": "/IronPythonStubs/release/stubs.min/System/Diagnostics/__init___parts/DebuggerNonUserCodeAttribute.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
d=pd.DataFrame([harps,uves,feros]).T
d.columns=['harps','uves','feros']
final=pd.merge(d,tois,right_on='TIC ID', left_index=True)
# final=final[['harps','feros','TIC ID','TOI']].sort_values('TOI')
final.sort_values('TOI').to_csv('toi_with_eso_data.csv',index=False)<|fim_prefix|># repo: jpdeleon/archive_... | code_fim | hard | {
"lang": "python",
"repo": "jpdeleon/archive_digger",
"path": "/scripts/query_all_toi_eso",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jpdeleon/archive_digger path: /scripts/query_all_toi_eso
#!/usr/bin/env python
import sys
import pyvo as vo
from astropy.coordinates import SkyCoord
from astropy import units as u
import urllib
import pandas as pd
from tqdm import tqdm
from joblib import Parallel, delayed
import multiprocessing
... | code_fim | hard | {
"lang": "python",
"repo": "jpdeleon/archive_digger",
"path": "/scripts/query_all_toi_eso",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Williano/Solved-Practice-Questions path: /magic_dates.py
# Script: magic_dates
# Description: This program ask the user to enter a month (in numeric form), a day,
# and a two digit year. The program should then determine whether the
# month times the day equals the year.... | code_fim | hard | {
"lang": "python",
"repo": "Williano/Solved-Practice-Questions",
"path": "/magic_dates.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Telling the user what the program does.
print("This program ask the user to enter a month (in numeric form), a day,")
print("and a two digit year. The program should then determine whether the")
print("month times the day equals the year. If so, it should display a message")
print("s... | code_fim | medium | {
"lang": "python",
"repo": "Williano/Solved-Practice-Questions",
"path": "/magic_dates.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vkuznet/WMCore path: /src/python/WMCore/JobSplitting/Generators/ReproducibleSeeding.py
#!/usr/bin/env python
# encoding: utf-8
"""
ReproducibleSeeding.py
Created by Dave Evans on 2010-08-30.
Copyright (c) 2010 Fermilab. All rights reserved.
Seeding algorithm that generates job seeds at splittin... | code_fim | hard | {
"lang": "python",
"repo": "vkuznet/WMCore",
"path": "/src/python/WMCore/JobSplitting/Generators/ReproducibleSeeding.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> GeneratorInterface.__init__(self, **options)
self.couchUrl = options.get("CouchUrl")
self.couchDBName = options.get("CouchDBName")
self.couchConfigDoc = options.get("ConfigCacheDoc")
confCache = ConfigCache(dbURL = self.couchUrl, couchDBName = self.couchDBName, id ... | code_fim | hard | {
"lang": "python",
"repo": "vkuznet/WMCore",
"path": "/src/python/WMCore/JobSplitting/Generators/ReproducibleSeeding.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>import random
from random import SystemRandom
_inst = SystemRandom()
# //
# // Max bit mask size for 32 bit integers
#// This is required to be max 900M for CMSSW
_MAXINT = 900000000
newSeed = lambda : _inst.randint(1, _MAXINT)
class ReproducibleSeeding(GeneratorInterface):
def __init__(self, **... | code_fim | medium | {
"lang": "python",
"repo": "vkuznet/WMCore",
"path": "/src/python/WMCore/JobSplitting/Generators/ReproducibleSeeding.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> from tree import SearchTree
bfs_tree = SearchTree(domain, tree_depth)
import numpy as np
rng = np.random.default_rng()
candidate_set = CandidateSet(
domain, bfs_tree, rng, min_macro_size, max_macro_size, wildcard_rate, rollout_length,
num_patterns, num_instances, max_... | code_fim | hard | {
"lang": "python",
"repo": "garrettkatz/cubies",
"path": "/candidate_set.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: garrettkatz/cubies path: /candidate_set.py
import itertools as it
import numpy as np
import matplotlib.pyplot as pt
from pattern_database import PatternDatabase
from algorithm import run
from utils import softmax
class Candidate:
def __init__(self, patterns, wildcard, macros):
self.p... | code_fim | hard | {
"lang": "python",
"repo": "garrettkatz/cubies",
"path": "/candidate_set.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 20-1-SKKU-OSS/2020-1-OSS-1 path: /pyxel/ui/button.py
import pyxel
from .constants import BUTTON_LIGHTING_TIME
from .widget import Widget
class Button(Widget):
"""
Events:
__on_press()
__on_repeat()
__on_release()
"""
def __init__(self, parent, x, y, wid... | code_fim | hard | {
"lang": "python",
"repo": "20-1-SKKU-OSS/2020-1-OSS-1",
"path": "/pyxel/ui/button.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __on_mouse_down(self, key, x, y):
if key != pyxel.MOUSE_LEFT_BUTTON:
return
self._is_pressed = True
self.call_event_handler("press")
def __on_mouse_repeat(self, key, x, y):
if key != pyxel.MOUSE_LEFT_BUTTON:
return
self._is_pre... | code_fim | hard | {
"lang": "python",
"repo": "20-1-SKKU-OSS/2020-1-OSS-1",
"path": "/pyxel/ui/button.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _generate_random_curve(x, sigma=0.2, knot=4):
xx = ((np.arange(0, x.shape[0], (x.shape[0] - 1) / (knot + 1)))).transpose()
yy = np.random.normal(loc=1.0, scale=sigma, size=(knot + 2, ))
x_range = np.arange(x.shape[0])
cs = CubicSpline(xx[:], yy[:])
return np.array(cs(x_range)).tra... | code_fim | hard | {
"lang": "python",
"repo": "JuWaver/ICASSP2019_TCN",
"path": "/code/data_augmentation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def time_warp(x, sigma=0.1):
output = np.zeros(x.shape)
for i in range(x.shape[1]):
tt_new = _distort_timesteps(x[:, i], sigma)
tt_new = np.clip(tt_new, 0, x.shape[0] - 1)
output[:, i] = x[tt_new.astype(int), i]
return output
def permute(x, nPerm=4, minSegLength=10):
... | code_fim | hard | {
"lang": "python",
"repo": "JuWaver/ICASSP2019_TCN",
"path": "/code/data_augmentation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JuWaver/ICASSP2019_TCN path: /code/data_augmentation.py
# Data augmentation for EMG signals adapted from:
# T. T. Um et al., “Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks,” in Proceedings of the 19th ACM International Confe... | code_fim | hard | {
"lang": "python",
"repo": "JuWaver/ICASSP2019_TCN",
"path": "/code/data_augmentation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ send request """
request = body
request['action'] = action
request.setdefault('zone', self.zone)
if self.expires:
request['expires'] = self.expires
resp = self.send(url, request, verb)
if resp:
return json_load(resp)
... | code_fim | hard | {
"lang": "python",
"repo": "chenhaiq/qingcloud-sdk-python",
"path": "/qingcloud/app/connection.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def send_request(self, action, body, url = '/app/', verb = 'GET'):
""" send request """
request = body
request['action'] = action
request.setdefault('zone', self.zone)
if self.expires:
request['expires'] = self.expires
resp = self.send(url, r... | code_fim | hard | {
"lang": "python",
"repo": "chenhaiq/qingcloud-sdk-python",
"path": "/qingcloud/app/connection.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chenhaiq/qingcloud-sdk-python path: /qingcloud/app/connection.py
from qingcloud.iaas.connection import APIConnection
from qingcloud.conn import auth
from . import constants as const
from qingcloud.misc.json_tool import json_load
class AppConnection(APIConnection):
<|fim_suffix|> """ send ... | code_fim | hard | {
"lang": "python",
"repo": "chenhaiq/qingcloud-sdk-python",
"path": "/qingcloud/app/connection.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @app.route('/api/color', methods=['POST'])
def color():
if request.method == 'POST':
messagebus.put(request.get_json())
return "", 204
app.run()<|fim_prefix|># repo: sandnabba/rgb_candlestick path: /controller/http_server/server.py
from flask import Flask, reques... | code_fim | medium | {
"lang": "python",
"repo": "sandnabba/rgb_candlestick",
"path": "/controller/http_server/server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sandnabba/rgb_candlestick path: /controller/http_server/server.py
from flask import Flask, request
import os.path
def run(messagebus):
<|fim_suffix|> @app.route('/api', methods=['GET', 'POST'])
def root():
if request.method == 'POST':
# print(request.get_json())
... | code_fim | easy | {
"lang": "python",
"repo": "sandnabba/rgb_candlestick",
"path": "/controller/http_server/server.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>retCode = subprocess.call(['python','../../../framework/Driver.py',inputFile])
if retCode == 0:
proc = subprocess.Popen(['compare', '-metric', differenceMetric, '-fuzz',fuzzAmount, testImage,goldImage,'null:'],stderr=subprocess.PIPE)
retCode = int(proc.stderr.read())
sys.exit(retCode)<|fim_prefix|>#... | code_fim | hard | {
"lang": "python",
"repo": "idaholab/raven",
"path": "/tests/framework/OutStreams/testImageColorbar.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: idaholab/raven path: /tests/framework/OutStreams/testImageColorbar.py
# Copyright 2017 Battelle Energy Alliance, LLC
#
# 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
#
#... | code_fim | medium | {
"lang": "python",
"repo": "idaholab/raven",
"path": "/tests/framework/OutStreams/testImageColorbar.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Linusp/zhtools path: /zhtools/utils/inverted_index.py
from operator import itemgetter
from collections import defaultdict, namedtuple
import logging
import pickle
from enum import IntEnum
from copy import deepcopy
from zhtools.preprocess import to_halfwidth
from zhtools.tokenize import get_token... | code_fim | hard | {
"lang": "python",
"repo": "Linusp/zhtools",
"path": "/zhtools/utils/inverted_index.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Parameters
----------
storage: Storage
存储后端，用于获取实际的文档内容
field: str
要匹配的文档的字段，若不存在触发 FieldNotExistsError 异常
value: any
需匹配的字段的值
Return
------
documents: list
匹配到的文档列表
"""
# field... | code_fim | hard | {
"lang": "python",
"repo": "Linusp/zhtools",
"path": "/zhtools/utils/inverted_index.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: crisp-archive/send-my-link path: /send_my_link.py
import os
from flask import Flask
from flask import request
app = Flask(__name__)
<|fim_suffix|> link = request.args.get('link', '')
os.system("open %s" % link)
return 'RECV'<|fim_middle|>@app.route('/', methods=['GET'])
def handle_re... | code_fim | easy | {
"lang": "python",
"repo": "crisp-archive/send-my-link",
"path": "/send_my_link.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> link = request.args.get('link', '')
os.system("open %s" % link)
return 'RECV'<|fim_prefix|># repo: crisp-archive/send-my-link path: /send_my_link.py
import os
from flask import Flask
from flask import request
<|fim_middle|>app = Flask(__name__)
@app.route('/', methods=['GET'])
def handle_re... | code_fim | medium | {
"lang": "python",
"repo": "crisp-archive/send-my-link",
"path": "/send_my_link.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
try:
self.competition_dict = {}
if use_proxy:
robj = requests.get("http://%s.openjudge.cn/" % prefix, proxies=proxies)
else:
robj = requests.get("http://%s.openjudge.cn/" % prefix)... | code_fim | hard | {
"lang": "python",
"repo": "fossabot/OJ_spider",
"path": "/openjudge_spider.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fossabot/OJ_spider path: /openjudge_spider.py
import requests
from bs4 import BeautifulSoup
import json
import re
import base64
proxies = {"http": "Your proxy here", "https": "Your proxy here"}
use_proxy = False
# Use proxy may help to accerate downloading images.
def single_img_to_... | code_fim | hard | {
"lang": "python",
"repo": "fossabot/OJ_spider",
"path": "/openjudge_spider.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class spider_mainpage:
def __init__(self, prefix):
while True:
try:
self.competition_dict = {}
if use_proxy:
robj = requests.get("http://%s.openjudge.cn/" % prefix, proxies=proxies)
else:
... | code_fim | hard | {
"lang": "python",
"repo": "fossabot/OJ_spider",
"path": "/openjudge_spider.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(
self,
task: Task,
tiled_context: Dict[TileableType, TileableType] = None,
config: Config = None,
):
self._task = task
self.tileable_graph = task.tileable_graph
self._config = config
self.tile_context = tiled_context
... | code_fim | hard | {
"lang": "python",
"repo": "hekaisheng/mars",
"path": "/mars/services/task/supervisor/preprocessor.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hekaisheng/mars path: /mars/services/task/supervisor/preprocessor.py
# Copyright 1999-2021 Alibaba Group Holding Ltd.
#
# 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
#
... | code_fim | hard | {
"lang": "python",
"repo": "hekaisheng/mars",
"path": "/mars/services/task/supervisor/preprocessor.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> done = property(_get_done, _set_done)
def cancel(self):
self._cancelled.set()
def get_tiled(self, tileable: TileableType):
tileable = tileable.data if hasattr(tileable, "data") else tileable
return self.tile_context[tileable]
def _update_tileable_params(
... | code_fim | hard | {
"lang": "python",
"repo": "hekaisheng/mars",
"path": "/mars/services/task/supervisor/preprocessor.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MaxBolD/UdemyTF path: /Chapter4_NN/Chapter4_2_DeepNeuralNetworks/gradientDescent.py
import numpy as np
from helper import f
from helper import f_prime_x0
from helper import f_prime_x1
from helper import plot_rosenbrock
<|fim_suffix|> learning_rate = 0.005 # [0.001, 0.00001]
nu... | code_fim | hard | {
"lang": "python",
"repo": "MaxBolD/UdemyTF",
"path": "/Chapter4_NN/Chapter4_2_DeepNeuralNetworks/gradientDescent.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(f"Global minimum: {(1, 1)}")
print(f"X_start = {x_start}")
print(f"Y_start = {y_start}")
plot_rosenbrock(x_start)
learning_rate = 0.005 # [0.001, 0.00001]
num_iterations = 1000
gradient_steps = []
for it in range(num_iterations):
x0 = x0 - learn... | code_fim | medium | {
"lang": "python",
"repo": "MaxBolD/UdemyTF",
"path": "/Chapter4_NN/Chapter4_2_DeepNeuralNetworks/gradientDescent.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def process_args(self, context: MessageContext, *args: str) -> bool:
"""Converts an nether location to a over world location."""
output = []
for datum in args:
datum = datum.strip().strip(",")
if datum.isnumeric():
output.append(... | code_fim | hard | {
"lang": "python",
"repo": "Acropolis/eorzeas-only-hope",
"path": "/src/minecraft/__init__.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Converts an over world location to a nether location."""
def __init__(self) -> None:
super().__init__("overworld", 1, 9)
async def process_args(self, context: MessageContext, *args: str) -> bool:
"""Converts an over world location to a nether location."""
output =... | code_fim | hard | {
"lang": "python",
"repo": "Acropolis/eorzeas-only-hope",
"path": "/src/minecraft/__init__.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Acropolis/eorzeas-only-hope path: /src/minecraft/__init__.py
#!/usr/bin/env python3
"""Minecraft Bot Commands"""
from __future__ import annotations
import math
import bot.commands
from bot.commands import MessageContext
class Pillars(bot.commands.ParamCommand):
"""Calculates even pillar... | code_fim | hard | {
"lang": "python",
"repo": "Acropolis/eorzeas-only-hope",
"path": "/src/minecraft/__init__.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # ...for sheet music display
self.sheetFrame = Frame(borderwidth=1)
def initControlButtons():
# Transcription control button container
self.controlButtons = Frame(relief=SUNKEN, borderwidth=1)
# Define buttons
self.recordBtn = Button(self.controlButtons, text="Record",
... | code_fim | hard | {
"lang": "python",
"repo": "ravi-11/music-transcription",
"path": "/transcribe.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Add to note buffer: 1 measure's worth of audio
if ( self.listener.detectedPitch ):
theNote = note.Note(self.listener.pitch.note)
self.noteBuffer.append(theNote)
else:
self.noteBuffer.append(None)
def processBuffer(self, noteBuffer):
"""Process the recorded note buffer and turn ... | code_fim | hard | {
"lang": "python",
"repo": "ravi-11/music-transcription",
"path": "/transcribe.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ravi-11/music-transcription path: /transcribe.py
# Graphics
from Tkinter import *
from bettertimer import *
import ImageTk, Image
import tkFileDialog, tkMessageBox
# Audio
from music21 import note, stream, pitch, clef, tempo
from pitchdetect import *
# Misc
import time
from itertools import gr... | code_fim | hard | {
"lang": "python",
"repo": "ravi-11/music-transcription",
"path": "/transcribe.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yubinbai/python_practice path: /permutation.py
'''
generate all permutations of an iterable
'''
def permutation(array):
def _permute(array, step):
if step == len(array) - 1:
results.append(list(array))
return
for i in range(step, len(array)):
... | code_fim | hard | {
"lang": "python",
"repo": "yubinbai/python_practice",
"path": "/permutation.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
data = list("abbd")
# for row in permutation(data): print(''.join(row))
for row in uniquePermutations(data):
print(''.join(row))<|fim_prefix|># repo: yubinbai/python_practice path: /permutation.py
'''
generate all permutations of an iterable
'''
def permut... | code_fim | hard | {
"lang": "python",
"repo": "yubinbai/python_practice",
"path": "/permutation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: koriisabellaa/Python path: /chiper/cryptomath_module.py
def gcd(a: int, b: int) -> int:
"""
>>> gcd(10, 5)
5
>>> gcd(5, 10)
5
>>> gcd(0, 5)
5
"""
while a != 0:
a, b = b % a, a
return b
<|fim_suffix|> """
>>> find_mod_inverse(2, 5)
3
... | code_fim | medium | {
"lang": "python",
"repo": "koriisabellaa/Python",
"path": "/chiper/cryptomath_module.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
>>> find_mod_inverse(2, 5)
3
>>> find_mod_inverse(7, 26)
15
>>> find_mod_inverse(1, 26)
1
"""
if gcd(a, m) != 1:
raise ValueError(f"mod kebalikan dari {a!r} dan {m!r} tidak ada")
u1, u2, u3 = 1, 0, a
v1, v2, v3 = 0, 1, m
while v3 != 0:
q ... | code_fim | medium | {
"lang": "python",
"repo": "koriisabellaa/Python",
"path": "/chiper/cryptomath_module.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: slivingston/btsynth path: /examples/gridworld_example.py
#!/usr/bin/env python
"""
testing on gridworlds...
SCL; Aug, Sep 2011; Feb 2012.
"""
import tulip
import tulip.congexf as cg
import sys
from btsynth import *
from btsynth.automaton import BTAutomaton
if __name__ == "__main__":
if l... | code_fim | hard | {
"lang": "python",
"repo": "slivingston/btsynth",
"path": "/examples/gridworld_example.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> history, intent, obs_poses = navobs_sim(init_list[0], aut_patched, W_actual,
num_obs=num_obs, num_it=1000)
print intent
print pretty_world(W_actual, goal_list=goal_list, init_list=init_list,
env_init_list=en... | code_fim | hard | {
"lang": "python",
"repo": "slivingston/btsynth",
"path": "/examples/gridworld_example.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> aut.writeDotFileCoord("tempsyn-ORIG.dot")
with open("tempsyn-ORIG.gexf", "w") as f:
f.write(cg.dumpGexf(aut, use_viz=True, use_clusters=True))
# sim_history = grsim([aut], num_it=20, deterministic_env=False)
# for step in sim_history:
# print str(step[0]) + "-> " + str(ext... | code_fim | hard | {
"lang": "python",
"repo": "slivingston/btsynth",
"path": "/examples/gridworld_example.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> features = tf.nn.conv2d(features, self.weights['features.12.weight'], strides=[1,2,2,1], padding='SAME')
features = tf.nn.batch_normalization(features, self.weights['features.13.running_mean'], self.weights['features.13.running_var'], None, None, 1e-6)
features = tf.nn.relu(featu... | code_fim | hard | {
"lang": "python",
"repo": "cumtchenchang/Key.Net",
"path": "/keyNet/model/hardnet.py",
"mode": "spm",
"license": "BSD-3-Clause-Clear",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cumtchenchang/Key.Net path: /keyNet/model/hardnet.py
import tensorflow as tf
import pickle
class HardNet(object):
def __init__(self, checkpoint):
file = open(checkpoint, 'rb')
pickle_dataset = pickle.load(file)
file.close()
self.create_weights(pick... | code_fim | hard | {
"lang": "python",
"repo": "cumtchenchang/Key.Net",
"path": "/keyNet/model/hardnet.py",
"mode": "psm",
"license": "BSD-3-Clause-Clear",
"source": "the-stack-v2"
} |
<|fim_suffix|> def input_norm(self, x, eps=1e-6):
x_flatten = tf.layers.flatten(x)
x_mu, x_std = tf.nn.moments(x_flatten, axes=[1])
# Add extra dimension
x_mu = tf.expand_dims(x_mu, axis=1)
x_std = tf.expand_dims(x_std, axis=1)
x_norm = (x_f... | code_fim | hard | {
"lang": "python",
"repo": "cumtchenchang/Key.Net",
"path": "/keyNet/model/hardnet.py",
"mode": "spm",
"license": "BSD-3-Clause-Clear",
"source": "the-stack-v2"
} |
<|fim_suffix|>, and therefore able to be referenced by
# pkgutil.get_data.<|fim_prefix|># repo: sipb/homeworld path: /platform/python/template_init.py
# this is a template file that gets instantiated for any baz<|fim_middle|>el package with python-accessible resources.
# its simple presence as __init__.py is enough to... | code_fim | medium | {
"lang": "python",
"repo": "sipb/homeworld",
"path": "/platform/python/template_init.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sipb/homeworld path: /platform/python/template_init.py
# this is a template file that gets instantiated for any bazel package with python-accessible resources.
# its simple pr<|fim_suffix|>, and therefore able to be referenced by
# pkgutil.get_data.<|fim_middle|>esence as __init__.py is enough to... | code_fim | medium | {
"lang": "python",
"repo": "sipb/homeworld",
"path": "/platform/python/template_init.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_met_pos_region(site_ref, region_ref):
print("Start searching met pos in each region...")
total_region_met_pos = dict()
for each_chr in region_ref:
print("\tStart parsing chromosome {}".format(each_chr))
each_site_ref = numpy.array(list(site_ref[each_chr]))
each_... | code_fim | hard | {
"lang": "python",
"repo": "zhq921/cfWGBS-bioinfo-pip",
"path": "/2. DMR_calling/extract_CpG_met_matrix.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zhq921/cfWGBS-bioinfo-pip path: /2. DMR_calling/extract_CpG_met_matrix.py
import re
import os
import sys
import glob
import numpy
from collections import defaultdict
def parse_subtype(path_subtype):
print("Start reading from {}".format(path_subtype))
normal_samples = []
cancer_sampl... | code_fim | hard | {
"lang": "python",
"repo": "zhq921/cfWGBS-bioinfo-pip",
"path": "/2. DMR_calling/extract_CpG_met_matrix.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ECellNitrr/teesco-backend path: /tests/org/test_search_org_api.py
from org.models import *
from tests.AuthAPITestCase import AuthAPITestCase
from rest_framework.test import APITestCase,APIClient
from rest_framework import status
from org.serializers import *
class SearchOrgTestCase(AuthAPITestCa... | code_fim | hard | {
"lang": "python",
"repo": "ECellNitrr/teesco-backend",
"path": "/tests/org/test_search_org_api.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_fail_without_auth_header(self):
un_auth_client = APIClient()
response = un_auth_client.get(self.search_org_api)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_success_with_auth_header(self):
auth_client = self.create_auth_cli... | code_fim | hard | {
"lang": "python",
"repo": "ECellNitrr/teesco-backend",
"path": "/tests/org/test_search_org_api.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sangminwoo/evo_ai path: /nn_optimize/nn_optimize.py
f get_model(state_dict=None):
model = nn.Sequential(
nn.Flatten(),
nn.Linear(784, 1000, bias=True),
nn.Sigmoid(),
nn.Linear(1000, 10, bias=False)
)
if state_dict is None:
return model
if isinstance(state_dict, str):
state_dict ... | code_fim | hard | {
"lang": "python",
"repo": "sangminwoo/evo_ai",
"path": "/nn_optimize/nn_optimize.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def run(self):
time_meter = AverageMeter()
end = time.time()
fitness_history = []
population = self.init_population()
for iteration in range(self.num_generations):
accs = []; fits = []
for indv in population:
acc, fit = self.fitness(indv)
accs.append(acc)
fits.append(fit)
... | code_fim | hard | {
"lang": "python",
"repo": "sangminwoo/evo_ai",
"path": "/nn_optimize/nn_optimize.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> children[i, :crossover_points[0]] = parents[idx[0], :crossover_points[0]]
children[i, crossover_points[0]:crossover_points[1]] = parents[idx[1], crossover_points[0]:crossover_points[1]]
children[i, crossover_points[1]:crossover_points[2]] = parents[idx[0], crossover_points[1]:crossover_points[... | code_fim | hard | {
"lang": "python",
"repo": "sangminwoo/evo_ai",
"path": "/nn_optimize/nn_optimize.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>tps://github.com/enjoy-digital/liteeth
"""<|fim_prefix|># repo: Nic30/hwtLib path: /hwtLib/peripheral/ethernet/__init__.py
"""
https://github.com/alexforencich/verilog-ethernet/tree/master/rtl
https://githu<|fim_middle|>b.com/jsyk/miilink/tree/master/fpga/src
ht | code_fim | easy | {
"lang": "python",
"repo": "Nic30/hwtLib",
"path": "/hwtLib/peripheral/ethernet/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nic30/hwtLib path: /hwtLib/peripheral/ethernet/__init__.py
"""
https://github.com/alexforencich/veri<|fim_suffix|>tps://github.com/enjoy-digital/liteeth
"""<|fim_middle|>log-ethernet/tree/master/rtl
https://github.com/jsyk/miilink/tree/master/fpga/src
ht | code_fim | medium | {
"lang": "python",
"repo": "Nic30/hwtLib",
"path": "/hwtLib/peripheral/ethernet/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def initiali(zorig, nr, rmin, rmax, r, dr, r2, dl, njrc=[None] * 4,
xntot=0., nel=0, input_stream='stdin'):
'''
Description
-----------
Initialise the radial charge grid
Parameters
----------
zorig : float
nr : int
Number of radial grid points... | code_fim | hard | {
"lang": "python",
"repo": "Liam-Deacon/phaseshifts",
"path": "/phaseshifts/lib/hartfock.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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