Remove unused imports

crisprbact/cli.py

 import click
 from crisprbact import on_target_predict
-from pathlib import Path
 from Bio import SeqIO
 
 

crisprbact/predict.py

 import numpy as np
-import gffpandas.gffpandas as gffpd
-from typing import Tuple
 import re
 from importlib.resources import open_binary
 
@@ -45,7 +43,7 @@ def find_targets(seq):
     )
 
 
-def on_target_predict(seq: str):
+def on_target_predict(seq):
 
     seq = seq.upper()  # make uppercase
     seq = re.sub(r"\s", "", seq)  # removes white space

poetry.lock

@@ -86,18 +86,6 @@ mccabe = ">=0.6.0,<0.7.0"
 pycodestyle = ">=2.5.0,<2.6.0"
 pyflakes = ">=2.1.0,<2.2.0"
 
-[[package]]
-category = "main"
-description = "GFF annotations in panda data frames"
-name = "gffpandas"
-optional = false
-python-versions = "*"
-version = "1.2.0"
-
-[package.source]
-reference = "eec669c257b47bb9300cc3a6ea022b2e5c398fc1"
-type = "git"
-url = "https://github.com/foerstner-lab/gffpandas.git"
 [[package]]
 category = "dev"
 description = "Read metadata from Python packages"
@@ -146,19 +134,6 @@ version = "19.2"
 pyparsing = ">=2.0.2"
 six = "*"
 
-[[package]]
-category = "main"
-description = "Powerful data structures for data analysis, time series, and statistics"
-name = "pandas"
-optional = false
-python-versions = ">=3.5.3"
-version = "0.25.3"
-
-[package.dependencies]
-numpy = ">=1.13.3"
-python-dateutil = ">=2.6.1"
-pytz = ">=2017.2"
-
 [[package]]
 category = "dev"
 description = "plugin and hook calling mechanisms for python"
@@ -227,26 +202,7 @@ python = "<3.8"
 version = ">=0.12"
 
 [[package]]
-category = "main"
-description = "Extensions to the standard Python datetime module"
-name = "python-dateutil"
-optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-version = "2.8.1"
-
-[package.dependencies]
-six = ">=1.5"
-
-[[package]]
-category = "main"
-description = "World timezone definitions, modern and historical"
-name = "pytz"
-optional = false
-python-versions = "*"
-version = "2019.3"
-
-[[package]]
-category = "main"
+category = "dev"
 description = "Python 2 and 3 compatibility utilities"
 name = "six"
 optional = false
@@ -261,14 +217,6 @@ optional = false
 python-versions = "*"
 version = "0.10.0"
 
-[[package]]
-category = "main"
-description = "Type Hints for Python"
-name = "typing"
-optional = false
-python-versions = "*"
-version = "3.7.4.1"
-
 [[package]]
 category = "dev"
 description = "Measures number of Terminal column cells of wide-character codes"
@@ -290,7 +238,7 @@ version = "0.6.0"
 more-itertools = "*"
 
 [metadata]
-content-hash = "362aea764c5197c9b4dd9f7db94311b26ba3a4d701b17d12ccda856fc41c4bd1"
+content-hash = "7eec960df30c85f429e73f79ba022f4281ea60e9053334c56da04bde9b7bf317"
 python-versions = "^3.7"
 
 [metadata.hashes]
@@ -303,23 +251,18 @@ click = ["2335065e6395b9e67ca716de5f7526736bfa6ceead690adf616d925bdc622b13", "5b
 colorama = ["05eed71e2e327246ad6b38c540c4a3117230b19679b875190486ddd2d721422d", "f8ac84de7840f5b9c4e3347b3c1eaa50f7e49c2b07596221daec5edaabbd7c48"]
 entrypoints = ["589f874b313739ad35be6e0cd7efde2a4e9b6fea91edcc34e58ecbb8dbe56d19", "c70dd71abe5a8c85e55e12c19bd91ccfeec11a6e99044204511f9ed547d48451"]
 flake8 = ["45681a117ecc81e870cbf1262835ae4af5e7a8b08e40b944a8a6e6b895914cfb", "49356e766643ad15072a789a20915d3c91dc89fd313ccd71802303fd67e4deca"]
-gffpandas = []
 importlib-metadata = ["aa18d7378b00b40847790e7c27e11673d7fed219354109d0e7b9e5b25dc3ad26", "d5f18a79777f3aa179c145737780282e27b508fc8fd688cb17c7a813e8bd39af"]
 mccabe = ["ab8a6258860da4b6677da4bd2fe5dc2c659cff31b3ee4f7f5d64e79735b80d42", "dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f"]
 more-itertools = ["409cd48d4db7052af495b09dec721011634af3753ae1ef92d2b32f73a745f832", "92b8c4b06dac4f0611c0729b2f2ede52b2e1bac1ab48f089c7ddc12e26bb60c4"]
 numpy = ["0a7a1dd123aecc9f0076934288ceed7fd9a81ba3919f11a855a7887cbe82a02f", "0c0763787133dfeec19904c22c7e358b231c87ba3206b211652f8cbe1241deb6", "3d52298d0be333583739f1aec9026f3b09fdfe3ddf7c7028cb16d9d2af1cca7e", "43bb4b70585f1c2d153e45323a886839f98af8bfa810f7014b20be714c37c447", "475963c5b9e116c38ad7347e154e5651d05a2286d86455671f5b1eebba5feb76", "64874913367f18eb3013b16123c9fed113962e75d809fca5b78ebfbb73ed93ba", "683828e50c339fc9e68720396f2de14253992c495fdddef77a1e17de55f1decc", "6ca4000c4a6f95a78c33c7dadbb9495c10880be9c89316aa536eac359ab820ae", "75fd817b7061f6378e4659dd792c84c0b60533e867f83e0d1e52d5d8e53df88c", "7d81d784bdbed30137aca242ab307f3e65c8d93f4c7b7d8f322110b2e90177f9", "8d0af8d3664f142414fd5b15cabfd3b6cc3ef242a3c7a7493257025be5a6955f", "9679831005fb16c6df3dd35d17aa31dc0d4d7573d84f0b44cc481490a65c7725", "a8f67ebfae9f575d85fa859b54d3bdecaeece74e3274b0b5c5f804d7ca789fe1", "acbf5c52db4adb366c064d0b7c7899e3e778d89db585feadd23b06b587d64761", "ada4805ed51f5bcaa3a06d3dd94939351869c095e30a2b54264f5a5004b52170", "c7354e8f0eca5c110b7e978034cd86ed98a7a5ffcf69ca97535445a595e07b8e", "e2e9d8c87120ba2c591f60e32736b82b67f72c37ba88a4c23c81b5b8fa49c018", "e467c57121fe1b78a8f68dd9255fbb3bb3f4f7547c6b9e109f31d14569f490c3", "ede47b98de79565fcd7f2decb475e2dcc85ee4097743e551fe26cfc7eb3ff143", "f58913e9227400f1395c7b800503ebfdb0772f1c33ff8cb4d6451c06cabdf316", "fe39f5fd4103ec4ca3cb8600b19216cd1ff316b4990f4c0b6057ad982c0a34d5"]
 packaging = ["28b924174df7a2fa32c1953825ff29c61e2f5e082343165438812f00d3a7fc47", "d9551545c6d761f3def1677baf08ab2a3ca17c56879e70fecba2fc4dde4ed108"]
-pandas = ["00dff3a8e337f5ed7ad295d98a31821d3d0fe7792da82d78d7fd79b89c03ea9d", "22361b1597c8c2ffd697aa9bf85423afa9e1fcfa6b1ea821054a244d5f24d75e", "255920e63850dc512ce356233081098554d641ba99c3767dde9e9f35630f994b", "26382aab9c119735908d94d2c5c08020a4a0a82969b7e5eefb92f902b3b30ad7", "33970f4cacdd9a0ddb8f21e151bfb9f178afb7c36eb7c25b9094c02876f385c2", "4545467a637e0e1393f7d05d61dace89689ad6d6f66f267f86fff737b702cce9", "52da74df8a9c9a103af0a72c9d5fdc8e0183a90884278db7f386b5692a2220a4", "61741f5aeb252f39c3031d11405305b6d10ce663c53bc3112705d7ad66c013d0", "6a3ac2c87e4e32a969921d1428525f09462770c349147aa8e9ab95f88c71ec71", "7458c48e3d15b8aaa7d575be60e1e4dd70348efcd9376656b72fecd55c59a4c3", "78bf638993219311377ce9836b3dc05f627a666d0dbc8cec37c0ff3c9ada673b", "8153705d6545fd9eb6dd2bc79301bff08825d2e2f716d5dced48daafc2d0b81f", "975c461accd14e89d71772e89108a050fa824c0b87a67d34cedf245f6681fc17", "9962957a27bfb70ab64103d0a7b42fa59c642fb4ed4cb75d0227b7bb9228535d", "adc3d3a3f9e59a38d923e90e20c4922fc62d1e5a03d083440468c6d8f3f1ae0a", "bbe3eb765a0b1e578833d243e2814b60c825b7fdbf4cdfe8e8aae8a08ed56ecf", "df8864824b1fe488cf778c3650ee59c3a0d8f42e53707de167ba6b4f7d35f133", "e45055c30a608076e31a9fcd780a956ed3b1fa20db61561b8d88b79259f526f7", "ee50c2142cdcf41995655d499a157d0a812fce55c97d9aad13bc1eef837ed36c"]
 pluggy = ["0db4b7601aae1d35b4a033282da476845aa19185c1e6964b25cf324b5e4ec3e6", "fa5fa1622fa6dd5c030e9cad086fa19ef6a0cf6d7a2d12318e10cb49d6d68f34"]
 py = ["64f65755aee5b381cea27766a3a147c3f15b9b6b9ac88676de66ba2ae36793fa", "dc639b046a6e2cff5bbe40194ad65936d6ba360b52b3c3fe1d08a82dd50b5e53"]
 pycodestyle = ["95a2219d12372f05704562a14ec30bc76b05a5b297b21a5dfe3f6fac3491ae56", "e40a936c9a450ad81df37f549d676d127b1b66000a6c500caa2b085bc0ca976c"]
 pyflakes = ["17dbeb2e3f4d772725c777fabc446d5634d1038f234e77343108ce445ea69ce0", "d976835886f8c5b31d47970ed689944a0262b5f3afa00a5a7b4dc81e5449f8a2"]
 pyparsing = ["20f995ecd72f2a1f4bf6b072b63b22e2eb457836601e76d6e5dfcd75436acc1f", "4ca62001be367f01bd3e92ecbb79070272a9d4964dce6a48a82ff0b8bc7e683a"]
 pytest = ["27abc3fef618a01bebb1f0d6d303d2816a99aa87a5968ebc32fe971be91eb1e6", "58cee9e09242937e136dbb3dab466116ba20d6b7828c7620f23947f37eb4dae4"]
-python-dateutil = ["73ebfe9dbf22e832286dafa60473e4cd239f8592f699aa5adaf10050e6e1823c", "75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"]
-pytz = ["1c557d7d0e871de1f5ccd5833f60fb2550652da6be2693c1e02300743d21500d", "b02c06db6cf09c12dd25137e563b31700d3b80fcc4ad23abb7a315f2789819be"]
 six = ["1f1b7d42e254082a9db6279deae68afb421ceba6158efa6131de7b3003ee93fd", "30f610279e8b2578cab6db20741130331735c781b56053c59c4076da27f06b66"]
 toml = ["229f81c57791a41d65e399fc06bf0848bab550a9dfd5ed66df18ce5f05e73d5c", "235682dd292d5899d361a811df37e04a8828a5b1da3115886b73cf81ebc9100e", "f1db651f9657708513243e61e6cc67d101a39bad662eaa9b5546f789338e07a3"]
-typing = ["91dfe6f3f706ee8cc32d38edbbf304e9b7583fb37108fef38229617f8b3eba23", "c8cabb5ab8945cd2f54917be357d134db9cc1eb039e59d1606dc1e60cb1d9d36", "f38d83c5a7a7086543a0f649564d661859c5146a85775ab90c0d2f93ffaa9714"]
 wcwidth = ["3df37372226d6e63e1b1e1eda15c594bca98a22d33a23832a90998faa96bc65e", "f4ebe71925af7b40a864553f761ed559b43544f8f71746c2d756c7fe788ade7c"]
 zipp = ["3718b1cbcd963c7d4c5511a8240812904164b7f381b647143a89d3b98f9bcd8e", "f06903e9f1f43b12d371004b4ac7b06ab39a44adc747266928ae6debfa7b3335"]

pyproject.toml

@@ -19,11 +19,8 @@ classifiers = [
 [tool.poetry.dependencies]
 python = "^3.7"
 numpy = "^1.17"
-pandas = "^0.25.3"
 click = "^7.0"
-typing = "^3.7"
 biopython = "^1.75"
-gffpandas = {git = "https://github.com/foerstner-lab/gffpandas.git"}
 
 [tool.poetry.dev-dependencies]
 pytest = "^5.2"