text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> '''
cBoundary : 0x0B00
Command code for array reference element begin
'''
return self._cARef
@property
def cReferenceName(self):
'''
cReferenceName : 0x1206
Command code for structure name property
'''
ret... | code_fim | hard | {
"lang": "python",
"repo": "diamond2nv/GDS2tov30",
"path": "/GDSII_ARef.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: diamond2nv/GDS2tov30 path: /GDSII_ARef.py
X: ' , self.nX
print 'nY: ' , self.nY
print 'xRot: ' , self.xRot
print 'yRot: ' , self.yRot
print 'reflection: ' , self.reflection
print 'mag: ... | code_fim | hard | {
"lang": "python",
"repo": "diamond2nv/GDS2tov30",
"path": "/GDSII_ARef.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> smali_file = os.path.join(INPUT_DIR, 'Example.smali')
classes2_dex = os.path.join(tmp_dir, 'classes2.dex')
self._assemble_smali(classes2_dex, smali_file)
zip_file = os.path.join(tmp_dir, 'example.apk')
self._create_zip_file(zip_file, [classes_de... | code_fim | hard | {
"lang": "python",
"repo": "batyrf/platform_development",
"path": "/vndk/tools/definition-tool/tests/test_dex_file.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_generate_classes_dex_names(self):
seq = DexFileReader.generate_classes_dex_names()
self.assertEqual('classes.dex', next(seq))
self.assertEqual('classes2.dex', next(seq))
self.assertEqual('classes3.dex', next(seq))
def test_enumerate_dex_strings_buf(self)... | code_fim | hard | {
"lang": "python",
"repo": "batyrf/platform_development",
"path": "/vndk/tools/definition-tool/tests/test_dex_file.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: batyrf/platform_development path: /vndk/tools/definition-tool/tests/test_dex_file.py
#!/usr/bin/env python3
from __future__ import print_function
import os
import subprocess
import unittest
import zipfile
from vndk_definition_tool import DexFileReader, UnicodeSurrogateDecodeError
from .compat... | code_fim | hard | {
"lang": "python",
"repo": "batyrf/platform_development",
"path": "/vndk/tools/definition-tool/tests/test_dex_file.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(sys.argv) == 4:
messages_filepath, categories_filepath, database_filepath = sys.argv[1:]
print(
"Loading data...\n MESSAGES: {}\n CATEGORIES: {}".format(
messages_filepath, categories_filepath
)
)
df = load_data(mes... | code_fim | hard | {
"lang": "python",
"repo": "domsieb/disaster_response_pipeline",
"path": "/data/process_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return df_clean
def save_data(df, database_filename):
"""Load cleaned data frame into an SQL database
Args:
df: cleaned pandas dataframe provided by
database_filename: Path to sql database into which the dataframe is stored.
Returns:
None
"""
engine = cr... | code_fim | hard | {
"lang": "python",
"repo": "domsieb/disaster_response_pipeline",
"path": "/data/process_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: domsieb/disaster_response_pipeline path: /data/process_data.py
import sys
import pandas as pd
from sqlalchemy import create_engine
def load_data(messages_filepath, categories_filepath):
"""Load messages and categories into pandas dataframe
Args:
messages_filepath: A csv file co... | code_fim | hard | {
"lang": "python",
"repo": "domsieb/disaster_response_pipeline",
"path": "/data/process_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># List beiwe data types
def get_beiwe_types(read_dir, beiwe_ids):
beiwe_data_types = set()
for i in beiwe_ids:
if i[0] != '.':
read_path = os.path.join(read_dir, i)
types = os.listdir(read_path)
for t in types:
if t[0] != '.':
... | code_fim | hard | {
"lang": "python",
"repo": "AMP-SCZ/logbook",
"path": "/logbook/phone/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AMP-SCZ/logbook path: /logbook/phone/__init__.py
import os
import logging
from importlib import import_module
import pandas as pd
from logbook import tools
logger = logging.getLogger(__name__)
def process(data_type, study, subject, read_dir, date_from,
output_tz, input_tz, day_from, da... | code_fim | hard | {
"lang": "python",
"repo": "AMP-SCZ/logbook",
"path": "/logbook/phone/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lnsongxf/skillmodels path: /skillmodels/tests/pre_processing/model_spec_processor_test.py
from itertools import cycle
from unittest.mock import Mock
import numpy as np
import pandas as pd
from nose.tools import assert_equal
from nose.tools import assert_raises
from pandas import DataFrame
from p... | code_fim | hard | {
"lang": "python",
"repo": "lnsongxf/skillmodels",
"path": "/skillmodels/tests/pre_processing/model_spec_processor_test.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.data.loc[2, "c2"] = np.nan
ModelSpecProcessor._clean_controls_specification(self)
res = (("c1",), ("c1", "c2"))
assert_equal(self.controls, res)
def test_clean_control_specs_missing_observation_drop_observation(self):
self.data.loc[2, "c2"] = np.nan
... | code_fim | hard | {
"lang": "python",
"repo": "lnsongxf/skillmodels",
"path": "/skillmodels/tests/pre_processing/model_spec_processor_test.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> infile = os.path.join(qinittargetpath,'topo_landslide_subset.tt3')
outfile = os.path.join(qinittargetpath,'topo_landslide_subset_less1meter.tt3')
lower_DEM(infile,outfile,1.00)
infile = os.path.join(qinittargetpath,'topo_river_surface_subset_200cm.tt3')
outfile = os.path.join(qinitta... | code_fim | hard | {
"lang": "python",
"repo": "kbarnhart/dclaw-apps",
"path": "/GoldBasin/goldbasin_riverflow_2020Feb/setinit.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kbarnhart/dclaw-apps path: /GoldBasin/goldbasin_riverflow_2020Feb/setinit.py
"""
setinit:
this routine creates local directories and sets softlinks for the topo and q-init DEMs
used by setrun.py
this requires that you have an environment variable $TOPO set, and
topography files in $TOPO for the... | code_fim | hard | {
"lang": "python",
"repo": "kbarnhart/dclaw-apps",
"path": "/GoldBasin/goldbasin_riverflow_2020Feb/setinit.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def ClearField(self, field_name: typing_extensions.Literal["end", b"end", "filename", b"filename", "start", b"start"]) -> None: ...
global___Range = Range
@typing_extensions.final
class Diagnostic(google.protobuf.message.Message):
"""Diagnostic represents information to be presented to a user ab... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi",
"path": "/sdk/python/lib/pulumi/runtime/proto/codegen/hcl_pb2.pyi",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pulumi/pulumi path: /sdk/python/lib/pulumi/runtime/proto/codegen/hcl_pb2.pyi
"""
@generated by mypy-protobuf. Do not edit manually!
isort:skip_file
Copyright 2016-2023, Pulumi Corporation.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compli... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi",
"path": "/sdk/python/lib/pulumi/runtime/proto/codegen/hcl_pb2.pyi",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jinbooooom/coding-for-algorithms path: /剑指offer/10-fibonacci数列/jumpFloor2.py
# -*- coding:utf-8 -*-
"""
题目：
一只青蛙一次可以跳上1级台阶，也可以跳上2级……它也可以跳上n级。
求该青蛙跳上一个n级的台阶总共有多少种跳法。
"""
class Solution:
<|fim_suffix|> for i in range(3, number + 1):
f.append(sum(f) + 1)
# f[i] = f[0]... | code_fim | hard | {
"lang": "python",
"repo": "jinbooooom/coding-for-algorithms",
"path": "/剑指offer/10-fibonacci数列/jumpFloor2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> f = [0, 1, 2]
if number in f: # 当 number 处于闭区间 [0, 2]时，恰有f[number] = number
return number
for i in range(3, number + 1):
f.append(sum(f) + 1)
# f[i] = f[0] + f[1] + ... + f[i-1] + 1 = sum(f) + 1
# 加 1 是因为青蛙可以一次跳 i 级台阶。
retur... | code_fim | hard | {
"lang": "python",
"repo": "jinbooooom/coding-for-algorithms",
"path": "/剑指offer/10-fibonacci数列/jumpFloor2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Create internet gateway route
Args:
config (dict): Vpcs config
"""
for vpc_id, vpc_config in config.iteritems():
for route in vpc_config["RouteTables"]:
resource = self.ec2.RouteTable(route["RouteTableId"])
for rou... | code_fim | hard | {
"lang": "python",
"repo": "davidlonjon/aws-proxies",
"path": "/aws_proxies/route_tables.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davidlonjon/aws-proxies path: /aws_proxies/route_tables.py
# -*- coding: utf-8 -*-
from base_resources import BaseResources
import logging
from utils import setup_logger, filter_resources, tag_with_name_with_suffix
class RouteTables(BaseResources):
"""Route Tables representation
"""
... | code_fim | hard | {
"lang": "python",
"repo": "davidlonjon/aws-proxies",
"path": "/aws_proxies/route_tables.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Associate subnets to routes
Args:
config (dict): Vpcs config
"""
for vpc_id, vpc_config in config.iteritems():
for route in vpc_config["RouteTables"]:
route_resource = self.ec2.RouteTable(route["RouteTableId"])
fo... | code_fim | hard | {
"lang": "python",
"repo": "davidlonjon/aws-proxies",
"path": "/aws_proxies/route_tables.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: prophile/cronoplug path: /cronoplug/plugin.py
import zipfile
import io
import yaml
import json
def from_fs(base_path):
def get(filename):
full_path = "{}/{}".format(base_path, filename)
return open(full_path, 'rb')
return get
class Plugin:
def __init__(self, stream, ... | code_fim | medium | {
"lang": "python",
"repo": "prophile/cronoplug",
"path": "/cronoplug/plugin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def import_file(self, name):
content = self._src(name)
if content is None:
raise KeyError("No file {}".format(name))
self.add_file(name, self._src(name))
def import_from_manifest(self):
manifest_src = self._src('manifest.yaml')
if manifest_src i... | code_fim | hard | {
"lang": "python",
"repo": "prophile/cronoplug",
"path": "/cronoplug/plugin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kssteven418/Q-ASR path: /nemo/collections/tts/models/base.py
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the Licens... | code_fim | hard | {
"lang": "python",
"repo": "kssteven418/Q-ASR",
"path": "/nemo/collections/tts/models/base.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def update_bias_spect(self):
self.check_children_attributes() # Ensure self.n_mel and self.stft are defined
with self.nemo_infer():
spect = torch.zeros((1, self.n_mel, 88)).to(self.device)
bias_audio = self.convert_spectrogram_to_audio(spec=spect, sigma=0.0, d... | code_fim | hard | {
"lang": "python",
"repo": "kssteven418/Q-ASR",
"path": "/nemo/collections/tts/models/base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Vocoder(ModelPT, ABC):
""" Base class for all TTS models that generate audio conditioned a on spectrogram """
@abstractmethod
def convert_spectrogram_to_audio(self, spec: 'torch.tensor', **kwargs) -> 'torch.tensor':
"""
Accepts a batch of spectrograms and returns a batc... | code_fim | hard | {
"lang": "python",
"repo": "kssteven418/Q-ASR",
"path": "/nemo/collections/tts/models/base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#segs = "HA MP NA NP NS PA PB1 PB2".split()
s = argv[5] #segs:
#fastas = glob(getcwd()+'/'+s+'/v'+argv[2]+'/*fasta')
fasta = argv[4] #fastas:
samp = ''.join(fasta.split('/')[-1].split('.')[0:-1]) #.replace('_','/')
#blastDB = blastDBroot+s+'/v-1_1/'+s
blastDB = argv[3]
try:
blastResults = check_output([... | code_fim | hard | {
"lang": "python",
"repo": "CDCgov/Mia_publication",
"path": "/scripts/blast2sqlite_refs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CDCgov/Mia_publication path: /scripts/blast2sqlite_refs.py
#!/usr/bin/python
from glob import glob
from os import getcwd
from os.path import isdir
from sys import argv, exit
import sqlite3 as sq3
from subprocess import check_output, CalledProcessError
<|fim_suffix|>s = argv[5] #segs:
#fastas = ... | code_fim | hard | {
"lang": "python",
"repo": "CDCgov/Mia_publication",
"path": "/scripts/blast2sqlite_refs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>try:
numReads = argv[1]
except IndexError:
print usage
exit()
root = '/'.join(argv[0].split('/')[:-2])
blastn = root+'/lib/ncbi-blast-2.7.1+/bin/blastn'
#blastDBroot = root+'/lib/ncbi-blast-2.7.1+/BlastDB/'
MIAdb = root+'/db/MIA.db'
db = sq3.connect(MIAdb)
dbc = db.cursor()
runID = argv[2]
#segs = "H... | code_fim | hard | {
"lang": "python",
"repo": "CDCgov/Mia_publication",
"path": "/scripts/blast2sqlite_refs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sukantadas194/Prime_Numbers path: /Finds_&_Counts_Prime-Numbers_in_a_Range_PYTHON.py
#Find the Prime Numbers in a given range with total count.
#(so basically prime number is a number which is only divisible by '1' & itself)
#examples : 2, 3, 5, 7, 11, 13,...
<|fim_suffix|> except:
... | code_fim | hard | {
"lang": "python",
"repo": "sukantadas194/Prime_Numbers",
"path": "/Finds_&_Counts_Prime-Numbers_in_a_Range_PYTHON.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("\nTotal no. of Prime Numbers: ", count_Prime_nums(ip))
except:
#If there's an error, without giving a Traceback it prints a message
#and also restarts the programme by itself using Recursion.
print("Wrong Input")
print("Start again..")
err... | code_fim | hard | {
"lang": "python",
"repo": "sukantadas194/Prime_Numbers",
"path": "/Finds_&_Counts_Prime-Numbers_in_a_Range_PYTHON.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: novopl/restible path: /src/test/restible/util/test_update_from_values.py
# -*- coding: utf-8 -*-
# pylint: disable=missing-docstring
from __future__ import absolute_import, unicode_literals
# 3rd party imports
import pytest
# local imports
from restible import util
class User(object):
def... | code_fim | hard | {
"lang": "python",
"repo": "novopl/restible",
"path": "/src/test/restible/util/test_update_from_values.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_raises_AttributeError_if_cant_set_attribute():
user = StaticUser()
with pytest.raises(AttributeError):
util.update_from_values(user, {'new_attr': 'hello'})<|fim_prefix|># repo: novopl/restible path: /src/test/restible/util/test_update_from_values.py
# -*- coding: utf-8 -*-
# pyl... | code_fim | hard | {
"lang": "python",
"repo": "novopl/restible",
"path": "/src/test/restible/util/test_update_from_values.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if occlusion_sensitivity_button:
data = ([face], None)
explainer = OcclusionSensitivity()
sensitivity_occlusion_grid = explainer.explain(data, model, predicted_class, patch_size_value)
st.image(sensitivity_occlusion_grid)
file_ = open("SocialAI.gif", "rb")
cont... | code_fim | hard | {
"lang": "python",
"repo": "AdityaTeltia/Vihaan-Covid-Project",
"path": "/streamlit-based-mask-detecting-UI/st_face_mask_detector_expl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AdityaTeltia/Vihaan-Covid-Project path: /streamlit-based-mask-detecting-UI/st_face_mask_detector_expl.py
import streamlit as st
from tensorflow.keras.applications.mobilenet_v2 import preprocess_input
from tensorflow.keras.preprocessing.image import img_to_array
from tensorflow.keras.models import... | code_fim | hard | {
"lang": "python",
"repo": "AdityaTeltia/Vihaan-Covid-Project",
"path": "/streamlit-based-mask-detecting-UI/st_face_mask_detector_expl.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> predicted_class = 0
label = "No Mask"
if mask > withoutMask:
label = "Mask"
predicted_class = 1
color = (0, 255, 0) if label == "Mask" else (0, 0, 255)
label = "{}: {:.2f}%".format(label, max(mask, withoutMask) * ... | code_fim | hard | {
"lang": "python",
"repo": "AdityaTeltia/Vihaan-Covid-Project",
"path": "/streamlit-based-mask-detecting-UI/st_face_mask_detector_expl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xenserver/guest-templates path: /json-templates/constants.py
kib = 1024
mib = 1024 * kib
gib = 1024 * mib
<|fim_suffix|> Running = "Running"
Halted = "Halted"<|fim_middle|>pv_bootloader = "pygrub"
hvm_boot_policy = "BIOS order"
hvm_boot_params = {"order": "cdn"}
# Values of memory parame... | code_fim | hard | {
"lang": "python",
"repo": "xenserver/guest-templates",
"path": "/json-templates/constants.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Running = "Running"
Halted = "Halted"<|fim_prefix|># repo: xenserver/guest-templates path: /json-templates/constants.py
kib = 1024
mib = 1024 * kib
gib = 1024 * mib
pv_bootloader = "pygrub"
hvm_boot_policy = "BIOS order"
hvm_boot_params = {"order": "cdn"}
<|fim_middle|># Values of memory parame... | code_fim | hard | {
"lang": "python",
"repo": "xenserver/guest-templates",
"path": "/json-templates/constants.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> params = {
"udf": process['arguments']['udf'],
"runtime": process['arguments']['runtime'],
"output_folder": os.path.join(root_folder, process_id)
}
return params<|fim_prefix|># repo: eodcgmbh/eodc-openeo-bindings path: /src/eodc_openeo_bindings/map_udf.py
import o... | code_fim | easy | {
"lang": "python",
"repo": "eodcgmbh/eodc-openeo-bindings",
"path": "/src/eodc_openeo_bindings/map_udf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eodcgmbh/eodc-openeo-bindings path: /src/eodc_openeo_bindings/map_udf.py
import os
def map_udf(process, root_folder, process_id):
<|fim_suffix|> params = {
"udf": process['arguments']['udf'],
"runtime": process['arguments']['runtime'],
"output_folder": os.path.join(ro... | code_fim | easy | {
"lang": "python",
"repo": "eodcgmbh/eodc-openeo-bindings",
"path": "/src/eodc_openeo_bindings/map_udf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: trimitri/fbg_util path: /decorators.py
"""Some function decorators."""
from typing import Any, Callable
<|fim_suffix|> Inside the decorated function, the variable can be accessed like
`funcname.foovar`.
"""
def decorator(function):
setattr(function, variable_name, initial... | code_fim | medium | {
"lang": "python",
"repo": "trimitri/fbg_util",
"path": "/decorators.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> setattr(function, variable_name, initial_value)
return function
return decorator<|fim_prefix|># repo: trimitri/fbg_util path: /decorators.py
"""Some function decorators."""
from typing import Any, Callable
def static_variable(variable_name: str,
initial_value: A... | code_fim | medium | {
"lang": "python",
"repo": "trimitri/fbg_util",
"path": "/decorators.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ommaury/specular-manifold-sampling path: /results/Figure_19_GlintsComparison/render_shoes.py
import os, sys
from subprocess import PIPE, run
import numpy as np
try:
os.mkdir('results_shoes')
except:
pass
def run_cmd(command, name):
result = run(command, stdout=PIPE, stderr=PIPE, uni... | code_fim | hard | {
"lang": "python",
"repo": "ommaury/specular-manifold-sampling",
"path": "/results/Figure_19_GlintsComparison/render_shoes.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if sys.argv[1] == "sms_bv":
name = "sms_bv_time_{}".format(i)
cmd = "mitsuba "
cmd += "shoes_sms.xml "
cmd += "-o results_shoes/{}.exr ".format(name)
cmd += "-Dspp=999999999 "
cmd += "-Dsamples_per_pass=1 "
cmd += "-Dtimeout={} ".format(t)
... | code_fim | hard | {
"lang": "python",
"repo": "ommaury/specular-manifold-sampling",
"path": "/results/Figure_19_GlintsComparison/render_shoes.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if sys.argv[1] == "sms_b":
name = "sms_b_time_{}".format(i)
cmd = "mitsuba "
cmd += "shoes_sms.xml "
cmd += "-o results_shoes/{}.exr ".format(name)
cmd += "-Dspp=999999999 "
cmd += "-Dsamples_per_pass=1 "
cmd += "-Dtimeout={} ".format(t)
... | code_fim | hard | {
"lang": "python",
"repo": "ommaury/specular-manifold-sampling",
"path": "/results/Figure_19_GlintsComparison/render_shoes.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rpiga/Runestone path: /thinkcspy/ch08/Excercise 12 - ex_7_20.py
import image
def smooth(image_in):
image_new = image.EmptyImage(image_in.getWidth(),
image_in.getHeight())
search = 9
for w in range(0, image_in.getWidth()):
w_range = range(w - 1... | code_fim | hard | {
"lang": "python",
"repo": "rpiga/Runestone",
"path": "/thinkcspy/ch08/Excercise 12 - ex_7_20.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
img = image.Image("luther.jpg")
width = img.getWidth()
height = img.getHeight()
win = image.ImageWin(width, height)
img.draw(win)
img_new = smooth(img)
win2 = image.ImageWin(width, height)
img_new.draw(win2)<|fim_prefix|># repo: rpiga/Runestone path: /thinkcspy/ch08/Excercise 12 - ex_7_20.py
import im... | code_fim | hard | {
"lang": "python",
"repo": "rpiga/Runestone",
"path": "/thinkcspy/ch08/Excercise 12 - ex_7_20.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.config.dbtype.lower() == "mysql":
create_temp_tbl_sql = f"CREATE TABLE {temp_tbl_name} LIKE {type};"
elif self.config.dbtype.lower() == "sqlite":
create_temp_tbl_sql = f"CREATE TABLE {temp_tbl_name} AS SELECT * FROM {type} WHERE 0"
self.engine.execut... | code_fim | hard | {
"lang": "python",
"repo": "FlxVctr/RADICES",
"path": "/database_handler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FlxVctr/RADICES path: /database_handler.py
import sqlite3 as lite
import uuid
from sqlite3 import Error
import pandas as pd
from sqlalchemy import create_engine
from sqlalchemy.exc import OperationalError
from setup import Config
class DataBaseHandler():
def __init__(self, config_path: st... | code_fim | hard | {
"lang": "python",
"repo": "FlxVctr/RADICES",
"path": "/database_handler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Table creation for SQLITE database type.
# Note and TODO: the collector does not support sqlite (yet)
if self.config.dbtype.lower() == "sqlite":
try:
self.engine = lite.connect(self.config.dbname + ".db")
print("Connected to " + self.co... | code_fim | hard | {
"lang": "python",
"repo": "FlxVctr/RADICES",
"path": "/database_handler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DuarteNuno/RuuviSensor path: /__main__.py
import os
import math
from config import *
from ruuvitag_sensor.ruuvi import RuuviTagSensor
from influxdb import InfluxDBClient
"""
start influxdb
"""
def config_influxdb():
client=InfluxDBClient (host=HOST,port=PORT)
client.switch_database(DB)
... | code_fim | hard | {
"lang": "python",
"repo": "DuarteNuno/RuuviSensor",
"path": "/__main__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for tag in sensors:
deviation_t += math.pow(tag[1]["temperature"] - avg_t,2)
deviation_h += math.pow(tag[1]["humidity"] - avg_h,2)
deviation_p += math.pow(tag[1]["pressure"] - avg_p,2)
json_deviation=[
{
"measurement": "Deviation",
... | code_fim | hard | {
"lang": "python",
"repo": "DuarteNuno/RuuviSensor",
"path": "/__main__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: konsan1101/pycv5 path: /vision_api_google.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# COPYRIGHT (C) 2014-2020 Mitsuo KONDOU.
# This software is released under the MIT License.
# https://github.com/konsan1101
# Thank you for keeping the rules.
import sys
import os
import tim... | code_fim | hard | {
"lang": "python",
"repo": "konsan1101/pycv5",
"path": "/vision_api_google.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
#googleAPI = google_api.VisionAPI()
googleAPI = VisionAPI()
res1 = googleAPI.authenticate('cv' ,
google_key.getkey('cv' ,'url'),
google_key.getkey('cv' ,'key'), )
res2 = googleAPI.authenticate(... | code_fim | hard | {
"lang": "python",
"repo": "konsan1101/pycv5",
"path": "/vision_api_google.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> binary_search=True,
epsilon=0.3,
stepsize=0.06,
iterations=10,
decay_factor=1.0,
beta1 = 0.4,
beta2 = 0.4,
correction = 0.00001,
random_start=False,
... | code_fim | hard | {
"lang": "python",
"repo": "IsCoelacanth/NeurIPS-2018-Adversarial-Vision-Challenge-Targeted-Attack",
"path": "/smiterative2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IsCoelacanth/NeurIPS-2018-Adversarial-Vision-Challenge-Targeted-Attack path: /smiterative2.py
ds()
s = max_ - min_
clipped = np.clip(perturbation, -epsilon * s, epsilon * s)
return clipped
class L1ClippingMixin(object):
def _clip_perturbation(self, a, perturbation, e... | code_fim | hard | {
"lang": "python",
"repo": "IsCoelacanth/NeurIPS-2018-Adversarial-Vision-Challenge-Targeted-Attack",
"path": "/smiterative2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IsCoelacanth/NeurIPS-2018-Adversarial-Vision-Challenge-Targeted-Attack path: /smiterative2.py
gradient = gradient / np.mean(np.abs(gradient))
min_, max_ = a.bounds()
gradient = (max_ - min_) * gradient
return gradient
class L2GradientMixin(object):
def _gradien... | code_fim | hard | {
"lang": "python",
"repo": "IsCoelacanth/NeurIPS-2018-Adversarial-Vision-Challenge-Targeted-Attack",
"path": "/smiterative2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: juliencombarel/crawlers path: /tests/functional/spiders/afpy.py
# -*- coding: utf-8 -*-
import os
import unittest
import yaml
from pyjobs_crawlers.spiders.afpy import AfpyJobSpider
from pyjobs_crawlers.test import SpiderTest
test_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), ... | code_fim | hard | {
"lang": "python",
"repo": "juliencombarel/crawlers",
"path": "/tests/functional/spiders/afpy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> items = self._get_result_html_file(items=items, html_file='jobs_add_1.html')
self.assertEqual(len(items), 1, "1 jobs must be found in jobs.html, %d found" % len(items))
self._result_contains_jobs(items, expected_jobs_titles=[
u"Développeur Python/C Confirmé (H/F)",
... | code_fim | hard | {
"lang": "python",
"repo": "juliencombarel/crawlers",
"path": "/tests/functional/spiders/afpy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ax1.plot(dates, Av1[-SP:], '#e1edf9', label=Label1, linewidth=1.)
ax1.plot(dates, Av2[-SP:], '#4ee6fd', label=Label2, linewidth=1.)
ax1.grid(True, color='w')
ax1.xaxis.set_major_locator(mticker.MaxNLocator(10))
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y... | code_fim | hard | {
"lang": "python",
"repo": "rosslly/quanttesting",
"path": "/userFunc/chCounts.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rosslly/quanttesting path: /userFunc/chCounts.py
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name： chCount
Description : 缠中说禅均线强度
Author : pchaos
date： 2019/6/21
-------------------------------------------------
Change Activ... | code_fim | hard | {
"lang": "python",
"repo": "rosslly/quanttesting",
"path": "/userFunc/chCounts.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: griseau/sample-apps path: /vespa-cloud/cord-19-search/scripts/add-embeddings.py
#!/usr/bin/env python3
# Copyright Verizon Media. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
<|fim_suffix|>DATA_FILE = sys.argv[1]
EMBEDDINGS = sys.argv[2]
embeddings = pand... | code_fim | medium | {
"lang": "python",
"repo": "griseau/sample-apps",
"path": "/vespa-cloud/cord-19-search/scripts/add-embeddings.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
DATA_FILE = sys.argv[1]
EMBEDDINGS = sys.argv[2]
embeddings = pandas.read_csv(EMBEDDINGS)
docs = []
with open(DATA_FILE, 'r') as f:
for doc in json.load(f):
id = doc['id']
row = embeddings[embeddings.id == id]
if not row.empty:
title_embedding = eval(row.iloc[0]['title_embedding']... | code_fim | medium | {
"lang": "python",
"repo": "griseau/sample-apps",
"path": "/vespa-cloud/cord-19-search/scripts/add-embeddings.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: onaio/tasking path: /tasking/viewsets/projects.py
"""
Project viewsets
"""
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import filters, mixins, viewsets
from rest_framework.permissions import IsAuthenticated
from tasking.models import Project
from tasking.ser... | code_fim | hard | {
"lang": "python",
"repo": "onaio/tasking",
"path": "/tasking/viewsets/projects.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> viewsets.GenericViewSet,
mixins.UpdateModelMixin,
mixins.CreateModelMixin,
mixins.ListModelMixin,
mixins.DestroyModelMixin,
mixins.RetrieveModelMixin,
):
"""
Viewset for projects
"""
serializer_class = ProjectSerializer
permission_classes = [IsAuthenticated]
... | code_fim | medium | {
"lang": "python",
"repo": "onaio/tasking",
"path": "/tasking/viewsets/projects.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
"""
Main function for this module
"""
sandbox = create_sandbox()
directory = download_package_to_sandbox(
sandbox,
'https://pypi.python.org/packages/source/c/checkmyreqs/checkmyreqs-0.1.6.tar.gz'
)
print(directory)
destroy_sandbox(sandbox)
if _... | code_fim | hard | {
"lang": "python",
"repo": "DieterWilliam/healthy-2",
"path": "/package_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DieterWilliam/healthy-2 path: /package_utils.py
#! /usr/bin/env python
# coding=utf-8
"""
Utilities for fetching and unpacking packages from pypi
"""
import os
import shutil
import tarfile
import tempfile
import requests
def create_sandbox(name='healthybox'):
"""
Create a temporary san... | code_fim | hard | {
"lang": "python",
"repo": "DieterWilliam/healthy-2",
"path": "/package_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with tarfile.open('package.tar.gz', 'r:gz') as tf:
tf.extractall()
directory = [d for d in os.listdir(sandbox) if os.path.isdir(d)][0]
return os.path.join(sandbox, directory)
def destroy_sandbox(sandbox):
"""
Destroys a temporary sandbox directory
:param sandbox: name o... | code_fim | medium | {
"lang": "python",
"repo": "DieterWilliam/healthy-2",
"path": "/package_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># for else
for i in range(10):
continue
print(i)
else:
print("End")<|fim_prefix|># repo: 21-guns/algo path: /practice/Python3/control_flow/interruption.py
# break
i = 7
f7 = 1
while True:
f7 *= i
i -= 1
if i == 1:
break
<|fim_middle|># continue
for i in range(10):
co... | code_fim | easy | {
"lang": "python",
"repo": "21-guns/algo",
"path": "/practice/Python3/control_flow/interruption.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 21-guns/algo path: /practice/Python3/control_flow/interruption.py
# break
i = 7
f7 = 1
while True:
f7 *= i
i -= 1
if i == 1:
break
<|fim_suffix|># for else
for i in range(10):
continue
print(i)
else:
print("End")<|fim_middle|># continue
for i in range(10):
co... | code_fim | easy | {
"lang": "python",
"repo": "21-guns/algo",
"path": "/practice/Python3/control_flow/interruption.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self not in self._instances:
self._instances[self] = super(
Singleton, self).__call__(*args, **kwargs)
return self._instances[self]<|fim_prefix|># repo: cdalvaro/machine-learning-notebooks path: /notebooks/strips/cdalvaro/singleton.py
class Singleton(type):
... | code_fim | easy | {
"lang": "python",
"repo": "cdalvaro/machine-learning-notebooks",
"path": "/notebooks/strips/cdalvaro/singleton.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cdalvaro/machine-learning-notebooks path: /notebooks/strips/cdalvaro/singleton.py
class Singleton(type):
"""
Metaclase para implementar el patrón de diseño Singleton
https://stackoverflow.com/a/6798042/3398062
"""
_instances = dict()
<|fim_suffix|> if self not in self.... | code_fim | easy | {
"lang": "python",
"repo": "cdalvaro/machine-learning-notebooks",
"path": "/notebooks/strips/cdalvaro/singleton.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def compare_many(src, compare_dir, clusters, match_data):
result = open("result.txt", "w")
image = cv2.imread(src)
km1, calibrate = kmeans(image, clusters)
detector = ColourDetector(colors=km1)
filenames = glob.glob(compare_dir)
filenames.sort()
for filename in filenames:
... | code_fim | hard | {
"lang": "python",
"repo": "spditner/cardvision",
"path": "/kmeans.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: spditner/cardvision path: /kmeans.py
import glob
import sys
from collections import OrderedDict
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
import argparse
import utils
import cv2
# from ShapeDetector import ShapeDetector
from ColourDetector import ColourDetector
# const... | code_fim | hard | {
"lang": "python",
"repo": "spditner/cardvision",
"path": "/kmeans.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if match_data[filename] == same_colour:
print("TRUE")
else:
print("FALSE: Expected %s for %s, Found: %s" % (
match_data[filename],
filename,
same_colour,
))
# plot_bar(
# km1.keys(... | code_fim | hard | {
"lang": "python",
"repo": "spditner/cardvision",
"path": "/kmeans.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(cells) == 6:
cell1 = cells[0].find(text=True)
cell2 = cells[1].find(text=True)
cell3 = cells[2].find(text=True)
cell4 = cells[3].find(text=True)
cell5 = cells[4].find(text=True)
cell6 = cells[5].find(text=True)
if file_name[-3:] is 'csv':
result = ... | code_fim | hard | {
"lang": "python",
"repo": "carolinp/table-scraper",
"path": "/TableScraperEdit.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: carolinp/table-scraper path: /TableScraperEdit.py
#Imports the libraries we'll be using. Make sure you have these installed
#first by typing import into python and seeing if it does anything
from bs4 import BeautifulSoup
import urllib2
#These are the editable variables in the scraper. The user d... | code_fim | hard | {
"lang": "python",
"repo": "carolinp/table-scraper",
"path": "/TableScraperEdit.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: susumuota/PyLIS path: /gym-foodhunting/gym_foodhunting/foodhunting/gym_foodhunting_ma.py
# -*- coding: utf-8 -*-
# Copyright 2019 Susumu OTA
#
# 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 c... | code_fim | hard | {
"lang": "python",
"repo": "susumuota/PyLIS",
"path": "/gym-foodhunting/gym_foodhunting/foodhunting/gym_foodhunting_ma.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> GRAVITY = -10.0
BULLET_STEPS = 120 # p.setTimeStep(1.0 / 240.0), so 1 gym step == 0.5 sec.
def __init__(self, render=False, robot_model=R2D2, max_steps=500, num_agents=1, num_foods=1):
"""Initialize environment.
"""
### gym variables
self.observation_space = ro... | code_fim | hard | {
"lang": "python",
"repo": "susumuota/PyLIS",
"path": "/gym-foodhunting/gym_foodhunting/foodhunting/gym_foodhunting_ma.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/otherforms/_shaves.py
#calss header
class _SHAVES():
def __init__(self,):
self.name = "SHAVES"
self.definitions = shave
<|fim_suffix|>
self.basic = ['shave']<|fim_middle|> self.parents = []
self.childen = []
self.properties = []
self.jsonda... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/otherforms/_shaves.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.name = "SHAVES"
self.definitions = shave
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['shave']<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/otherforms/_shaves.py
#calss header
class _SHAVES():
<|fim_middle|> def __init__(... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/otherforms/_shaves.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def register_node(self, address):
'''
Add a new node to the set of nodes
:param address: <str> HTTP Address of the node
:return None
'''
parsed_url = urlparse(address)
self.nodes.add(parsed_url.netloc)<|fim_prefix|># repo: kiran94/b... | code_fim | medium | {
"lang": "python",
"repo": "kiran94/blockchain-tutorial",
"path": "/src/nodes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kiran94/blockchain-tutorial path: /src/nodes.py
'''
Module contains logic to interact with nodes.
'''
from urllib.request import urlparse
<|fim_suffix|>
def register_node(self, address):
'''
Add a new node to the set of nodes
:param address: <str> HTTP A... | code_fim | medium | {
"lang": "python",
"repo": "kiran94/blockchain-tutorial",
"path": "/src/nodes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param address: <str> HTTP Address of the node
:return None
'''
parsed_url = urlparse(address)
self.nodes.add(parsed_url.netloc)<|fim_prefix|># repo: kiran94/blockchain-tutorial path: /src/nodes.py
'''
Module contains logic to interact with nodes.
'''
... | code_fim | medium | {
"lang": "python",
"repo": "kiran94/blockchain-tutorial",
"path": "/src/nodes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>parser = argparse.ArgumentParser()
parser.add_argument("--index", type=str, action='store', required=True)
parser.add_argument("--config-path", type=str, action='store', default='../config.json')
parser.add_argument("--n-shards", type=int, action='store', default=5)
parser.add_argument("--no-cat", type=st... | code_fim | medium | {
"lang": "python",
"repo": "xbrlware/ernest",
"path": "/helpers/add-cat-mappings.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>client.indices.create(index=config[args.index]['index'], body={
"settings" : {
"number_of_shards" : args.n_shards,
"number_of_replicas" : 1
},
"mappings" : {
config[args.index]['_type'] : dynamic_templates
}
})<|fim_prefix|># repo: xbrlware/ernest path: /helpers... | code_fim | hard | {
"lang": "python",
"repo": "xbrlware/ernest",
"path": "/helpers/add-cat-mappings.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xbrlware/ernest path: /helpers/add-cat-mappings.py
'''
Create an index with `.cat` mappings
index: name of index to set mapping (references config file)
config-path: path to config file
n-shards: number of primary shards
no-cat: comma separated list of fields to omit `.ca... | code_fim | hard | {
"lang": "python",
"repo": "xbrlware/ernest",
"path": "/helpers/add-cat-mappings.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>img = Image.fromarray(data2)
img.show()
filter1 = np.array([[1,0,-1],[1,0,-1],[1,0,-1]])
filter2 = np.array([[1,1,1],[0,0,0],[-1,-1,-1]])
data3 = convolve2d(data2, filter1, 'valid')
img2 = Image.fromarray(data3)
img2.show()
data4 = convolve2d(data2, filter2, 'valid')
img3 = Image.fromarray(data4)
img3.... | code_fim | hard | {
"lang": "python",
"repo": "connycode89/Scratchy",
"path": "/convolution.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: connycode89/Scratchy path: /convolution.py
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 12 10:56:06 2018
@author: cdonovan
"""
# convolution
<|fim_suffix|>img = Image.fromarray(data2)
img.show()
filter1 = np.array([[1,0,-1],[1,0,-1],[1,0,-1]])
filter2 = np.array([[1,1,1],[0,0,0],[-1,-1,-1]]... | code_fim | hard | {
"lang": "python",
"repo": "connycode89/Scratchy",
"path": "/convolution.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>data4 = convolve2d(data2, filter2, 'valid')
img3 = Image.fromarray(data4)
img3.show()<|fim_prefix|># repo: connycode89/Scratchy path: /convolution.py
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 12 10:56:06 2018
@author: cdonovan
"""
<|fim_middle|># convolution
from scipy.misc import imread
from sci... | code_fim | hard | {
"lang": "python",
"repo": "connycode89/Scratchy",
"path": "/convolution.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dorucioclea/posthog path: /ee/clickhouse/test/test_system_status.py
from posthog.clickhouse.system_status import system_status
def test_system_status(db):
results = list(system_status())
assert [row["key"] for row in results] == [
"cli<|fim_suffix|> "dead_letter_queue_event... | code_fim | hard | {
"lang": "python",
"repo": "dorucioclea/posthog",
"path": "/ee/clickhouse/test/test_system_status.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> "dead_letter_queue_events_last_day",
"dead_letter_queue_ratio_ok",
]
assert len(results[6]["subrows"]["rows"]) > 0
assert len(results[7]["subrows"]["rows"]) > 0<|fim_prefix|># repo: dorucioclea/posthog path: /ee/clickhouse/test/test_system_status.py
from posthog.clickhouse.syste... | code_fim | medium | {
"lang": "python",
"repo": "dorucioclea/posthog",
"path": "/ee/clickhouse/test/test_system_status.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abhishekgrewal/reliability path: /reliability/Fitters.py
def P_P_plot(self): # probability-probability plot of parametric vs non-parametric
# plot each of the results
if max(self.failures) <= 1:
cols = 6 # this is for when the beta distribution was fitted
... | code_fim | hard | {
"lang": "python",
"repo": "abhishekgrewal/reliability",
"path": "/reliability/Fitters.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abhishekgrewal/reliability path: /reliability/Fitters.py
ist_params=self)
def logf(t, mu, sigma): # Log PDF (Lognormal)
return anp.log(anp.exp(-0.5 * (((anp.log(t) - mu) / sigma) ** 2)) / (t * sigma * (2 * anp.pi) ** 0.5))
def logR(t, mu, sigma): # Log SF (Lognormal)
r... | code_fim | hard | {
"lang": "python",
"repo": "abhishekgrewal/reliability",
"path": "/reliability/Fitters.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> plt.subplot(2, cols, 1)
xlim = max(np.hstack([self._nonparametric_CDF, self._parametric_CDF_Exponential_1P]))
plt.scatter(self._nonparametric_CDF, self._parametric_CDF_Exponential_1P, marker='.', color='k')
plt.plot([0, xlim], [0, xlim], 'r', alpha=0.7)
plt.axis('sq... | code_fim | hard | {
"lang": "python",
"repo": "abhishekgrewal/reliability",
"path": "/reliability/Fitters.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> nr = len(grid)
nc = len(grid[0])
no_of_islands = 0
for r in range(nr):
for c in range(nc):
if(grid[r][c]=="1"):
no_of_islands += 1
self.dfs(grid, r, c, nr, nc)
return no_of... | code_fim | hard | {
"lang": "python",
"repo": "pillieshwar/coding_concepts",
"path": "/DP/islands.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pillieshwar/coding_concepts path: /DP/islands.py
class Solution:
def dfs(self, grid, r, c, nr, nc):
if(r<0 or c<0 or r>=nr or c>=nc or grid[r][c]=="0"):
return 0
grid[r][c]="0"
self.dfs(grid,r-1,c, nr, nc)
self.dfs(grid,r+1,c, nr, ... | code_fim | hard | {
"lang": "python",
"repo": "pillieshwar/coding_concepts",
"path": "/DP/islands.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: noblige/depgraph path: /depgraph/depgraph.py
import os
import itertools
class Reason(object):
""" A Reason describes why a build step is performed.
Parameters
----------
explanation : str
"""
def __init__(self, explanation):
self._explanation = explanation
... | code_fim | hard | {
"lang": "python",
"repo": "noblige/depgraph",
"path": "/depgraph/depgraph.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Parameters
----------
dataset : Dataset
Returns
-------
bool
"""
def visit(dataset, temp_marks, perm_marks):
if dataset in temp_marks:
raise CircularDependency()
if dataset not in perm_marks:
temp_marks.append(dataset)
fo... | code_fim | hard | {
"lang": "python",
"repo": "noblige/depgraph",
"path": "/depgraph/depgraph.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> paths = []
if not root:
return paths
stack = [(root, [str(root.val)])]
while stack:
node, path = stack.pop()
# leaf node
if not node.left and not node.right:
paths.append("->".join(path))
cont... | code_fim | hard | {
"lang": "python",
"repo": "aimdarx/data-structures-and-algorithms",
"path": "/solutions/Trees and Graphs/Binary Trees/binary_tree_paths.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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