mirror of
https://github.com/DOI-DO/j40-cejst-2.git
synced 2025-02-22 17:44:20 -08:00
Cleaning up quick code (#1349)
Did some quick, mostly cosmetic changes and updates to the quick launch changes. This mostly entailed changing strings to constants and cleaning up some code to make it neater. Changes -- PR AMI, updating ag loss, and dropping pr from some threshold counts.
This commit is contained in:
Emma Nechamkin
GitHub
parent
df268d4d91
commit
aea49cbb5a
6 changed files with 341 additions and 348 deletions
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@ -22,7 +22,6 @@ DATA_CENSUS_CSV_DIR = DATA_CENSUS_DIR / "csv"
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DATA_CENSUS_CSV_FILE_PATH = DATA_CENSUS_CSV_DIR / "us.csv"
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DATA_CENSUS_CSV_STATE_FILE_PATH = DATA_CENSUS_CSV_DIR / "fips_states_2010.csv"
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# Score paths
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DATA_SCORE_DIR = DATA_PATH / "score"
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@ -66,6 +65,9 @@ CENSUS_COUNTIES_COLUMNS = ["USPS", "GEOID", "NAME"]
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# Drop FIPS codes from map
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DROP_FIPS_CODES = ["66", "78"]
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# Drop FIPS codes from incrementing
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DROP_FIPS_FROM_NON_WTD_THRESHOLDS = "72"
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# Percent prefixes for rounding
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PERCENT_PREFIXES_SUFFIXES = [
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"Percent",
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@ -298,33 +298,20 @@ class ScoreETL(ExtractTransformLoad):
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] = df[input_column_name].rank(pct=True, ascending=ascending)
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else:
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# For agricultural loss, we are using whether there is value at all to determine percentile
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# This is not the most thoughtfully written code, but it works.
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# Take only rows with agrivalue
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tmp_df = df[df[field_names.AGRICULTURAL_VALUE_BOOL_FIELD] == 1][
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[input_column_name, field_names.GEOID_TRACT_FIELD]
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].copy()
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# Construct a percentile only among those tracts
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tmp_df["temporary_ranking"] = tmp_df[input_column_name].transform(
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lambda x: x.rank(pct=True, ascending=True)
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)
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# # Create a map for just those tracts and map it onto the df
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temporary_ranking = tmp_df.set_index(field_names.GEOID_TRACT_FIELD)[
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"temporary_ranking"
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].to_dict()
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# For agricultural loss, we are using whether there is value at all to determine percentile and then
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# filling places where the value is False with 0
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df[
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f"{output_column_name_root}"
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f"{field_names.PERCENTILE_FIELD_SUFFIX}"
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] = np.where(
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df[field_names.AGRICULTURAL_VALUE_BOOL_FIELD].isna(),
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np.nan,
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df[field_names.GEOID_TRACT_FIELD]
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.map(temporary_ranking)
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.fillna(0),
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] = (
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df.where(
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df[field_names.AGRICULTURAL_VALUE_BOOL_FIELD].astype(float)
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== 1.0
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)[input_column_name]
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.rank(ascending=ascending, pct=True)
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.fillna(
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df[field_names.AGRICULTURAL_VALUE_BOOL_FIELD].astype(float)
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)
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)
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# Create the urban/rural percentiles.
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@ -264,7 +264,8 @@ class CensusACSMedianIncomeETL(ExtractTransformLoad):
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low_memory=False,
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)
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logger.info("Pulling PR info down.")
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logger.info("Pulling PR tract list down.")
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# This step is necessary because PR is not in geocorr at the level that gets joined
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pr_file = self.get_tmp_path() / "pr_tracts" / "pr_tracts.csv"
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download_file_from_url(
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file_url=self.PUERTO_RICO_S3_LINK, download_file_name=pr_file
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@ -273,11 +274,11 @@ class CensusACSMedianIncomeETL(ExtractTransformLoad):
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filepath_or_buffer=self.get_tmp_path()
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/ "pr_tracts"
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/ "pr_tracts.csv",
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# Skip second row, which has descriptions.
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# The following need to remain as strings for all of their digits, not get converted to numbers.
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dtype={"GEOID10_TRACT": str},
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low_memory=False,
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)
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self.pr_tracts["State Abbreviation"] = "PR"
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# Download MSA median incomes
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logger.info("Starting download of MSA median incomes.")
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@ -298,12 +299,10 @@ class CensusACSMedianIncomeETL(ExtractTransformLoad):
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msa_median_incomes_df = self._transform_msa_median_incomes()
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state_median_incomes_df = self._transform_state_median_incomes()
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# Adds 945 PR tracts
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geocorr_df_plus_pr = geocorr_df.merge(
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self.pr_tracts, how="outer", indicator=True
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)
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# Adds 945 PR tracts to the geocorr dataframe
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geocorr_df_plus_pr = geocorr_df.merge(self.pr_tracts, how="outer")
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# Join tracts on MSA incomes (this is where we lose PR)
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# Join tracts on MSA incomes
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merged_df = geocorr_df_plus_pr.merge(
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msa_median_incomes_df, on=self.MSA_ID_FIELD_NAME, how="left"
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)
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@ -5,6 +5,7 @@ import pandas as pd
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from data_pipeline.score.score import Score
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import data_pipeline.score.field_names as field_names
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from data_pipeline.utils import get_module_logger
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import data_pipeline.etl.score.constants as constants
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logger = get_module_logger(__name__)
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@ -195,7 +196,8 @@ class ScoreM(Score):
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)
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self._increment_total_eligibility_exceeded(
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climate_eligibility_columns, skip_fips=("72")
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climate_eligibility_columns,
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skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
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)
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return self.df[climate_eligibility_columns].any(axis="columns")
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@ -239,7 +241,8 @@ class ScoreM(Score):
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)
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self._increment_total_eligibility_exceeded(
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energy_eligibility_columns, skip_fips=("72")
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energy_eligibility_columns,
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skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
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)
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return self.df[energy_eligibility_columns].any(axis="columns")
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@ -290,7 +293,8 @@ class ScoreM(Score):
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)
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self._increment_total_eligibility_exceeded(
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transportion_eligibility_columns, skip_fips=("72")
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transportion_eligibility_columns,
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skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
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)
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return self.df[transportion_eligibility_columns].any(axis="columns")
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@ -351,7 +355,8 @@ class ScoreM(Score):
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)
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self._increment_total_eligibility_exceeded(
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housing_eligibility_columns, skip_fips=("72")
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housing_eligibility_columns,
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skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
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)
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return self.df[housing_eligibility_columns].any(axis="columns")
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@ -402,7 +407,8 @@ class ScoreM(Score):
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)
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self._increment_total_eligibility_exceeded(
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pollution_eligibility_columns, skip_fips=("72")
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pollution_eligibility_columns,
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skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
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)
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return self.df[pollution_eligibility_columns].any(axis="columns")
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@ -432,7 +438,7 @@ class ScoreM(Score):
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self._increment_total_eligibility_exceeded(
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[field_names.WASTEWATER_DISCHARGE_LOW_INCOME_LOW_HIGHER_ED_FIELD],
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skip_fips=("72"),
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skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
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)
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return self.df[
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@ -510,7 +516,8 @@ class ScoreM(Score):
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)
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self._increment_total_eligibility_exceeded(
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health_eligibility_columns, skip_fips=("72")
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health_eligibility_columns,
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skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
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)
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return self.df[health_eligibility_columns].any(axis="columns")
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613
data/data-pipeline/poetry.lock
generated
613
data/data-pipeline/poetry.lock
generated
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@ -152,7 +152,7 @@ pycparser = "*"
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[[package]]
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name = "charset-normalizer"
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version = "2.0.11"
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version = "2.0.12"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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category = "main"
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optional = false
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@ -163,7 +163,7 @@ unicode_backport = ["unicodedata2"]
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[[package]]
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name = "click"
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version = "8.0.3"
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version = "8.0.4"
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description = "Composable command line interface toolkit"
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category = "main"
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optional = false
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@ -311,7 +311,7 @@ python-versions = ">=3.6"
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[[package]]
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name = "filelock"
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version = "3.4.2"
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version = "3.6.0"
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description = "A platform independent file lock."
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category = "dev"
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optional = false
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@ -323,7 +323,7 @@ testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-co
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[[package]]
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name = "fiona"
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version = "1.8.20"
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version = "1.8.21"
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description = "Fiona reads and writes spatial data files"
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category = "main"
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optional = false
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@ -339,7 +339,7 @@ munch = "*"
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six = ">=1.7"
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[package.extras]
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all = ["pytest (>=3)", "boto3 (>=1.2.4)", "pytest-cov", "shapely", "mock"]
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all = ["boto3 (>=1.2.4)", "pytest-cov", "shapely", "pytest (>=3)", "mock"]
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calc = ["shapely"]
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s3 = ["boto3 (>=1.2.4)"]
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test = ["pytest (>=3)", "pytest-cov", "boto3 (>=1.2.4)", "mock"]
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@ -438,7 +438,7 @@ toml = {version = ">=0.10.2", markers = "python_version > \"3.6\""}
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[[package]]
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name = "ipykernel"
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version = "6.8.0"
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version = "6.9.1"
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description = "IPython Kernel for Jupyter"
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category = "main"
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optional = false
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@ -459,7 +459,7 @@ test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "ipyparallel"]
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[[package]]
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name = "ipython"
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version = "7.31.1"
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version = "7.32.0"
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description = "IPython: Productive Interactive Computing"
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category = "main"
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optional = false
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@ -684,7 +684,7 @@ test = ["nbformat", "nose", "pip", "requests", "mock"]
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[[package]]
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name = "jupyter-core"
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version = "4.9.1"
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version = "4.9.2"
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description = "Jupyter core package. A base package on which Jupyter projects rely."
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category = "main"
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optional = false
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@ -786,7 +786,7 @@ toml = "*"
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[[package]]
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name = "lxml"
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version = "4.7.1"
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version = "4.8.0"
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description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
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category = "main"
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optional = false
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@ -800,11 +800,11 @@ source = ["Cython (>=0.29.7)"]
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[[package]]
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name = "markupsafe"
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version = "2.0.1"
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version = "2.1.0"
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description = "Safely add untrusted strings to HTML/XML markup."
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category = "main"
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optional = false
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python-versions = ">=3.6"
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python-versions = ">=3.7"
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[[package]]
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name = "matplotlib"
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@ -892,9 +892,20 @@ category = "dev"
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optional = false
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python-versions = "*"
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[[package]]
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name = "nb-black"
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version = "1.0.7"
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description = "A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using Black."
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category = "dev"
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optional = false
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python-versions = "*"
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[package.dependencies]
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ipython = "*"
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[[package]]
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name = "nbclient"
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version = "0.5.10"
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version = "0.5.11"
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description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
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category = "main"
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optional = false
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@ -908,11 +919,11 @@ traitlets = ">=4.2"
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[package.extras]
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sphinx = ["Sphinx (>=1.7)", "sphinx-book-theme", "mock", "moto", "myst-parser"]
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test = ["ipython", "ipykernel", "ipywidgets (<8.0.0)", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "xmltodict", "black", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)"]
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test = ["ipython (<8.0.0)", "ipykernel", "ipywidgets (<8.0.0)", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "xmltodict", "black", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)"]
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[[package]]
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name = "nbconvert"
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version = "6.4.1"
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version = "6.4.2"
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description = "Converting Jupyter Notebooks"
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category = "main"
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optional = false
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@ -934,11 +945,11 @@ testpath = "*"
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traitlets = ">=5.0"
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[package.extras]
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all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.6)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
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all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (>=1,<1.1)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
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docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
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serve = ["tornado (>=4.0)"]
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test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.6)"]
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webpdf = ["pyppeteer (==0.2.6)"]
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test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (>=1,<1.1)"]
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webpdf = ["pyppeteer (>=1,<1.1)"]
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[[package]]
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name = "nbformat"
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@ -998,7 +1009,7 @@ test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "re
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[[package]]
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name = "numpy"
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version = "1.22.1"
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version = "1.22.2"
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description = "NumPy is the fundamental package for array computing with Python."
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category = "main"
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optional = false
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@ -1028,7 +1039,7 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
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[[package]]
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name = "pandas"
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version = "1.4.0"
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version = "1.4.1"
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description = "Powerful data structures for data analysis, time series, and statistics"
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category = "main"
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optional = false
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@ -1049,7 +1060,7 @@ test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
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[[package]]
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name = "pandas-vet"
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version = "0.2.2"
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version = "0.2.3"
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description = "A flake8 plugin to lint pandas in an opinionated way"
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category = "dev"
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optional = false
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@ -1108,7 +1119,7 @@ python-versions = "*"
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[[package]]
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name = "pillow"
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version = "9.0.0"
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version = "9.0.1"
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description = "Python Imaging Library (Fork)"
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category = "main"
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optional = false
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@ -1116,7 +1127,7 @@ python-versions = ">=3.7"
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[[package]]
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name = "platformdirs"
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version = "2.4.1"
|
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version = "2.5.1"
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description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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category = "main"
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optional = false
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@ -1151,7 +1162,7 @@ twisted = ["twisted"]
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[[package]]
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name = "prompt-toolkit"
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version = "3.0.26"
|
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version = "3.0.28"
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description = "Library for building powerful interactive command lines in Python"
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category = "main"
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optional = false
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@ -1327,7 +1338,7 @@ python-versions = "*"
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[[package]]
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name = "pywinpty"
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version = "2.0.1"
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version = "2.0.2"
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description = "Pseudo terminal support for Windows from Python."
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category = "main"
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optional = false
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|
|
@ -1423,11 +1434,15 @@ requests = "*"
|
|||
|
||||
[[package]]
|
||||
name = "semantic-version"
|
||||
version = "2.8.5"
|
||||
version = "2.9.0"
|
||||
description = "A library implementing the 'SemVer' scheme."
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
||||
python-versions = ">=2.7"
|
||||
|
||||
[package.extras]
|
||||
dev = ["Django (>=1.11)", "nose2", "tox", "check-manifest", "coverage", "flake8", "wheel", "zest.releaser", "readme-renderer (<25.0)", "colorama (<=0.4.1)"]
|
||||
doc = ["sphinx", "sphinx-rtd-theme"]
|
||||
|
||||
[[package]]
|
||||
name = "send2trash"
|
||||
|
|
@ -1460,7 +1475,7 @@ toml = ["setuptools (>=42)"]
|
|||
|
||||
[[package]]
|
||||
name = "shapely"
|
||||
version = "1.8.0"
|
||||
version = "1.8.1.post1"
|
||||
description = "Geometric objects, predicates, and operations"
|
||||
category = "main"
|
||||
optional = false
|
||||
|
|
@ -1497,14 +1512,14 @@ test = ["pytest"]
|
|||
|
||||
[[package]]
|
||||
name = "testpath"
|
||||
version = "0.5.0"
|
||||
version = "0.6.0"
|
||||
description = "Test utilities for code working with files and commands"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">= 3.5"
|
||||
|
||||
[package.extras]
|
||||
test = ["pytest", "pathlib2"]
|
||||
test = ["pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "toml"
|
||||
|
|
@ -1597,7 +1612,7 @@ test = ["pytest"]
|
|||
|
||||
[[package]]
|
||||
name = "types-requests"
|
||||
version = "2.27.8"
|
||||
version = "2.27.11"
|
||||
description = "Typing stubs for requests"
|
||||
category = "main"
|
||||
optional = false
|
||||
|
|
@ -1608,7 +1623,7 @@ types-urllib3 = "<1.27"
|
|||
|
||||
[[package]]
|
||||
name = "types-urllib3"
|
||||
version = "1.26.9"
|
||||
version = "1.26.10"
|
||||
description = "Typing stubs for urllib3"
|
||||
category = "main"
|
||||
optional = false
|
||||
|
|
@ -1616,7 +1631,7 @@ python-versions = "*"
|
|||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.0.1"
|
||||
version = "4.1.1"
|
||||
description = "Backported and Experimental Type Hints for Python 3.6+"
|
||||
category = "main"
|
||||
optional = false
|
||||
|
|
@ -1648,7 +1663,7 @@ jellyfish = "0.6.1"
|
|||
|
||||
[[package]]
|
||||
name = "virtualenv"
|
||||
version = "20.13.0"
|
||||
version = "20.13.2"
|
||||
description = "Virtual Python Environment builder"
|
||||
category = "dev"
|
||||
optional = false
|
||||
|
|
@ -1721,8 +1736,8 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
|
|||
|
||||
[metadata]
|
||||
lock-version = "1.1"
|
||||
python-versions = "^3.8.1"
|
||||
content-hash = "19f46ad08fe8d656ec3efb77bf07b783fa556862cda052838dfdef8e164c731b"
|
||||
python-versions = "^3.8"
|
||||
content-hash = "2f4eed83e5b153dafda74e7fd54b718ede6f4e960fb523c2d733643be76762a4"
|
||||
|
||||
[metadata.files]
|
||||
appnope = [
|
||||
|
|
@ -1840,12 +1855,12 @@ cffi = [
|
|||
{file = "cffi-1.15.0.tar.gz", hash = "sha256:920f0d66a896c2d99f0adbb391f990a84091179542c205fa53ce5787aff87954"},
|
||||
]
|
||||
charset-normalizer = [
|
||||
{file = "charset-normalizer-2.0.11.tar.gz", hash = "sha256:98398a9d69ee80548c762ba991a4728bfc3836768ed226b3945908d1a688371c"},
|
||||
{file = "charset_normalizer-2.0.11-py3-none-any.whl", hash = "sha256:2842d8f5e82a1f6aa437380934d5e1cd4fcf2003b06fed6940769c164a480a45"},
|
||||
{file = "charset-normalizer-2.0.12.tar.gz", hash = "sha256:2857e29ff0d34db842cd7ca3230549d1a697f96ee6d3fb071cfa6c7393832597"},
|
||||
{file = "charset_normalizer-2.0.12-py3-none-any.whl", hash = "sha256:6881edbebdb17b39b4eaaa821b438bf6eddffb4468cf344f09f89def34a8b1df"},
|
||||
]
|
||||
click = [
|
||||
{file = "click-8.0.3-py3-none-any.whl", hash = "sha256:353f466495adaeb40b6b5f592f9f91cb22372351c84caeb068132442a4518ef3"},
|
||||
{file = "click-8.0.3.tar.gz", hash = "sha256:410e932b050f5eed773c4cda94de75971c89cdb3155a72a0831139a79e5ecb5b"},
|
||||
{file = "click-8.0.4-py3-none-any.whl", hash = "sha256:6a7a62563bbfabfda3a38f3023a1db4a35978c0abd76f6c9605ecd6554d6d9b1"},
|
||||
{file = "click-8.0.4.tar.gz", hash = "sha256:8458d7b1287c5fb128c90e23381cf99dcde74beaf6c7ff6384ce84d6fe090adb"},
|
||||
]
|
||||
click-plugins = [
|
||||
{file = "click-plugins-1.1.1.tar.gz", hash = "sha256:46ab999744a9d831159c3411bb0c79346d94a444df9a3a3742e9ed63645f264b"},
|
||||
|
|
@ -1919,19 +1934,21 @@ et-xmlfile = [
|
|||
{file = "et_xmlfile-1.1.0.tar.gz", hash = "sha256:8eb9e2bc2f8c97e37a2dc85a09ecdcdec9d8a396530a6d5a33b30b9a92da0c5c"},
|
||||
]
|
||||
filelock = [
|
||||
{file = "filelock-3.4.2-py3-none-any.whl", hash = "sha256:cf0fc6a2f8d26bd900f19bf33915ca70ba4dd8c56903eeb14e1e7a2fd7590146"},
|
||||
{file = "filelock-3.4.2.tar.gz", hash = "sha256:38b4f4c989f9d06d44524df1b24bd19e167d851f19b50bf3e3559952dddc5b80"},
|
||||
{file = "filelock-3.6.0-py3-none-any.whl", hash = "sha256:f8314284bfffbdcfa0ff3d7992b023d4c628ced6feb957351d4c48d059f56bc0"},
|
||||
{file = "filelock-3.6.0.tar.gz", hash = "sha256:9cd540a9352e432c7246a48fe4e8712b10acb1df2ad1f30e8c070b82ae1fed85"},
|
||||
]
|
||||
fiona = [
|
||||
{file = "Fiona-1.8.20-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:02880556540e36ad6aac97687799d9b3093c354787a47bc0e73026c7fc15f1b3"},
|
||||
{file = "Fiona-1.8.20-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:3f668c471fa2f8c9c0a9ca83639cb2c8dcc93edc3d93d43dba2f9e8da38ad53e"},
|
||||
{file = "Fiona-1.8.20-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:54f81039e913d0f88728ef23edf5a69038dec94dea54f4c799f972ba8e2a7d40"},
|
||||
{file = "Fiona-1.8.20-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:328340a448bed5c43d119f61f760368a04d13a302c59d2fccb051a3ff021f4b8"},
|
||||
{file = "Fiona-1.8.20-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:03f910380dbe684730b59b817aa030e6e9a3ee79211b66c6db2d1c8fe6ea12de"},
|
||||
{file = "Fiona-1.8.20-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:bef100ebd82afb9a4d67096216e82611b82ca9341330e4805832d7ff8c9bc1f7"},
|
||||
{file = "Fiona-1.8.20-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5e1cef608c6de9039eaa65b395024096e3189ab0559a5a328c68c4690c3302ce"},
|
||||
{file = "Fiona-1.8.20-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:e72e4a5b84ec410be531d4fe4c1a5c87c6c0e92d01116c145c0f1b33f81c8080"},
|
||||
{file = "Fiona-1.8.20.tar.gz", hash = "sha256:a70502d2857b82f749c09cb0dea3726787747933a2a1599b5ab787d74e3c143b"},
|
||||
{file = "Fiona-1.8.21-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:39c656421e25b4d0d73d0b6acdcbf9848e71f3d9b74f44c27d2d516d463409ae"},
|
||||
{file = "Fiona-1.8.21-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:43b1d2e45506e56cf3a9f59ba5d6f7981f3f75f4725d1e6cb9a33ba856371ebd"},
|
||||
{file = "Fiona-1.8.21-cp36-cp36m-macosx_10_10_x86_64.whl", hash = "sha256:315e186cb880a8128e110312eb92f5956bbc54d7152af999d3483b463758d6f9"},
|
||||
{file = "Fiona-1.8.21-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fb2407623c4f44732a33b3f056f8c58c54152b51f0324bf8f10945e711eb549"},
|
||||
{file = "Fiona-1.8.21-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:b69054ed810eb7339d7effa88589afca48003206d7627d0b0b149715fc3fde41"},
|
||||
{file = "Fiona-1.8.21-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:11532ccfda1073d3f5f558e4bb78d45b268e8680fd6e14993a394c564ddbd069"},
|
||||
{file = "Fiona-1.8.21-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:3789523c811809a6e2e170cf9c437631f959f4c7a868f024081612d30afab468"},
|
||||
{file = "Fiona-1.8.21-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:085f18d943097ac3396f3f9664ac1ae04ad0ff272f54829f03442187f01b6116"},
|
||||
{file = "Fiona-1.8.21-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:388acc9fa07ba7858d508dfe826d4b04d813818bced16c4049de19cc7ca322ef"},
|
||||
{file = "Fiona-1.8.21-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40b4eaf5b88407421d6c9e707520abd2ff16d7cd43efb59cd398aa41d2de332c"},
|
||||
{file = "Fiona-1.8.21.tar.gz", hash = "sha256:3a0edca2a7a070db405d71187214a43d2333a57b4097544a3fcc282066a58bfc"},
|
||||
]
|
||||
flake8 = [
|
||||
{file = "flake8-3.9.2-py2.py3-none-any.whl", hash = "sha256:bf8fd333346d844f616e8d47905ef3a3384edae6b4e9beb0c5101e25e3110907"},
|
||||
|
|
@ -1961,12 +1978,12 @@ ipdb = [
|
|||
{file = "ipdb-0.13.9.tar.gz", hash = "sha256:951bd9a64731c444fd907a5ce268543020086a697f6be08f7cc2c9a752a278c5"},
|
||||
]
|
||||
ipykernel = [
|
||||
{file = "ipykernel-6.8.0-py3-none-any.whl", hash = "sha256:6c977ead67ec22151993a5f848b97e57a5e771f979b510941e157b2e7fe54184"},
|
||||
{file = "ipykernel-6.8.0.tar.gz", hash = "sha256:67d316d527eca24e3ded45a2b38689615bcda1aa520a11af0accdcea7152c18a"},
|
||||
{file = "ipykernel-6.9.1-py3-none-any.whl", hash = "sha256:4fae9df6e192837552b2406a6052d707046dd2e153860be73c68484bacba18ed"},
|
||||
{file = "ipykernel-6.9.1.tar.gz", hash = "sha256:f95070a2dfd3147f8ab19f18ee46733310813758593745e07ec18fb08b409f1d"},
|
||||
]
|
||||
ipython = [
|
||||
{file = "ipython-7.31.1-py3-none-any.whl", hash = "sha256:55df3e0bd0f94e715abd968bedd89d4e8a7bce4bf498fb123fed4f5398fea874"},
|
||||
{file = "ipython-7.31.1.tar.gz", hash = "sha256:b5548ec5329a4bcf054a5deed5099b0f9622eb9ea51aaa7104d215fece201d8c"},
|
||||
{file = "ipython-7.32.0-py3-none-any.whl", hash = "sha256:86df2cf291c6c70b5be6a7b608650420e89180c8ec74f376a34e2dc15c3400e7"},
|
||||
{file = "ipython-7.32.0.tar.gz", hash = "sha256:468abefc45c15419e3c8e8c0a6a5c115b2127bafa34d7c641b1d443658793909"},
|
||||
]
|
||||
ipython-genutils = [
|
||||
{file = "ipython_genutils-0.2.0-py2.py3-none-any.whl", hash = "sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8"},
|
||||
|
|
@ -2017,8 +2034,8 @@ jupyter-contrib-nbextensions = [
|
|||
{file = "jupyter_contrib_nbextensions-0.5.1.tar.gz", hash = "sha256:eecd28ecc2fc410226c0a3d4932ed2fac4860ccf8d9e9b1b29548835a35b22ab"},
|
||||
]
|
||||
jupyter-core = [
|
||||
{file = "jupyter_core-4.9.1-py3-none-any.whl", hash = "sha256:1c091f3bbefd6f2a8782f2c1db662ca8478ac240e962ae2c66f0b87c818154ea"},
|
||||
{file = "jupyter_core-4.9.1.tar.gz", hash = "sha256:dce8a7499da5a53ae3afd5a9f4b02e5df1d57250cf48f3ad79da23b4778cd6fa"},
|
||||
{file = "jupyter_core-4.9.2-py3-none-any.whl", hash = "sha256:f875e4d27e202590311d468fa55f90c575f201490bd0c18acabe4e318db4a46d"},
|
||||
{file = "jupyter_core-4.9.2.tar.gz", hash = "sha256:d69baeb9ffb128b8cd2657fcf2703f89c769d1673c851812119e3a2a0e93ad9a"},
|
||||
]
|
||||
jupyter-highlight-selected-word = [
|
||||
{file = "jupyter_highlight_selected_word-0.2.0-py2.py3-none-any.whl", hash = "sha256:9545dfa9cb057eebe3a5795604dcd3a5294ea18637e553f61a0b67c1b5903c58"},
|
||||
|
|
@ -2128,137 +2145,109 @@ liccheck = [
|
|||
{file = "liccheck-0.6.5.tar.gz", hash = "sha256:d4009f1876eb7e4228ecf495e36573ef5b8a226d4cd91235138e417f990a67e8"},
|
||||
]
|
||||
lxml = [
|
||||
{file = "lxml-4.7.1-cp27-cp27m-macosx_10_14_x86_64.whl", hash = "sha256:d546431636edb1d6a608b348dd58cc9841b81f4116745857b6cb9f8dadb2725f"},
|
||||
{file = "lxml-4.7.1-cp27-cp27m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6308062534323f0d3edb4e702a0e26a76ca9e0e23ff99be5d82750772df32a9e"},
|
||||
{file = "lxml-4.7.1-cp27-cp27m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:f76dbe44e31abf516114f6347a46fa4e7c2e8bceaa4b6f7ee3a0a03c8eba3c17"},
|
||||
{file = "lxml-4.7.1-cp27-cp27m-win32.whl", hash = "sha256:d5618d49de6ba63fe4510bdada62d06a8acfca0b4b5c904956c777d28382b419"},
|
||||
{file = "lxml-4.7.1-cp27-cp27m-win_amd64.whl", hash = "sha256:9393a05b126a7e187f3e38758255e0edf948a65b22c377414002d488221fdaa2"},
|
||||
{file = "lxml-4.7.1-cp27-cp27mu-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:50d3dba341f1e583265c1a808e897b4159208d814ab07530202b6036a4d86da5"},
|
||||
{file = "lxml-4.7.1-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:44f552e0da3c8ee3c28e2eb82b0b784200631687fc6a71277ea8ab0828780e7d"},
|
||||
{file = "lxml-4.7.1-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:e662c6266e3a275bdcb6bb049edc7cd77d0b0f7e119a53101d367c841afc66dc"},
|
||||
{file = "lxml-4.7.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:4c093c571bc3da9ebcd484e001ba18b8452903cd428c0bc926d9b0141bcb710e"},
|
||||
{file = "lxml-4.7.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:3e26ad9bc48d610bf6cc76c506b9e5ad9360ed7a945d9be3b5b2c8535a0145e3"},
|
||||
{file = "lxml-4.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:a5f623aeaa24f71fce3177d7fee875371345eb9102b355b882243e33e04b7175"},
|
||||
{file = "lxml-4.7.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7b5e2acefd33c259c4a2e157119c4373c8773cf6793e225006a1649672ab47a6"},
|
||||
{file = "lxml-4.7.1-cp310-cp310-win32.whl", hash = "sha256:67fa5f028e8a01e1d7944a9fb616d1d0510d5d38b0c41708310bd1bc45ae89f6"},
|
||||
{file = "lxml-4.7.1-cp310-cp310-win_amd64.whl", hash = "sha256:b1d381f58fcc3e63fcc0ea4f0a38335163883267f77e4c6e22d7a30877218a0e"},
|
||||
{file = "lxml-4.7.1-cp35-cp35m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:38d9759733aa04fb1697d717bfabbedb21398046bd07734be7cccc3d19ea8675"},
|
||||
{file = "lxml-4.7.1-cp35-cp35m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:dfd0d464f3d86a1460683cd742306d1138b4e99b79094f4e07e1ca85ee267fe7"},
|
||||
{file = "lxml-4.7.1-cp35-cp35m-win32.whl", hash = "sha256:534e946bce61fd162af02bad7bfd2daec1521b71d27238869c23a672146c34a5"},
|
||||
{file = "lxml-4.7.1-cp35-cp35m-win_amd64.whl", hash = "sha256:6ec829058785d028f467be70cd195cd0aaf1a763e4d09822584ede8c9eaa4b03"},
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{file = "MarkupSafe-2.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:b8811d48078d1cf2a6863dafb896e68406c5f513048451cd2ded0473133473c7"},
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{file = "MarkupSafe-2.1.0.tar.gz", hash = "sha256:80beaf63ddfbc64a0452b841d8036ca0611e049650e20afcb882f5d3c266d65f"},
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{file = "matplotlib-3.5.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:456cc8334f6d1124e8ff856b42d2cc1c84335375a16448189999496549f7182b"},
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@ -2342,13 +2331,16 @@ mypy-extensions = [
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@ -2363,28 +2355,25 @@ notebook = [
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{file = "numpy-1.22.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a176959b6e7e00b5a0d6f549a479f869829bfd8150282c590deee6d099bbb6e"},
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{file = "numpy-1.22.2.zip", hash = "sha256:076aee5a3763d41da6bef9565fdf3cb987606f567cd8b104aded2b38b7b47abf"},
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]
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||||
openpyxl = [
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||||
{file = "openpyxl-3.0.9-py2.py3-none-any.whl", hash = "sha256:8f3b11bd896a95468a4ab162fc4fcd260d46157155d1f8bfaabb99d88cfcf79f"},
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|
|
@ -2395,31 +2384,31 @@ packaging = [
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{file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"},
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]
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pandas = [
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{file = "pandas-1.4.0.tar.gz", hash = "sha256:cdd76254c7f0a1583bd4e4781fb450d0ebf392e10d3f12e92c95575942e37df5"},
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{file = "pandas-1.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:c614001129b2a5add5e3677c3a213a9e6fd376204cb8d17c04e84ff7dfc02a73"},
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{file = "pandas-1.4.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:4e1176f45981c8ccc8161bc036916c004ca51037a7ed73f2d2a9857e6dbe654f"},
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pandas-vet = [
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pandocfilters = [
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@ -2442,42 +2431,45 @@ pickleshare = [
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|
||||
{file = "Pillow-9.0.1-cp310-cp310-macosx_10_10_universal2.whl", hash = "sha256:9bfdb82cdfeccec50aad441afc332faf8606dfa5e8efd18a6692b5d6e79f00fd"},
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{file = "Pillow-9.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5100b45a4638e3c00e4d2320d3193bdabb2d75e79793af7c3eb139e4f569f16f"},
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||||
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{file = "Pillow-9.0.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0f29d831e2151e0b7b39981756d201f7108d3d215896212ffe2e992d06bfe049"},
|
||||
{file = "Pillow-9.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:855c583f268edde09474b081e3ddcd5cf3b20c12f26e0d434e1386cc5d318e7a"},
|
||||
{file = "Pillow-9.0.1-cp310-cp310-win32.whl", hash = "sha256:d9d7942b624b04b895cb95af03a23407f17646815495ce4547f0e60e0b06f58e"},
|
||||
{file = "Pillow-9.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:81c4b81611e3a3cb30e59b0cf05b888c675f97e3adb2c8672c3154047980726b"},
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||||
{file = "Pillow-9.0.1-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:413ce0bbf9fc6278b2d63309dfeefe452835e1c78398efb431bab0672fe9274e"},
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{file = "Pillow-9.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:80fe64a6deb6fcfdf7b8386f2cf216d329be6f2781f7d90304351811fb591360"},
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{file = "Pillow-9.0.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cef9c85ccbe9bee00909758936ea841ef12035296c748aaceee535969e27d31b"},
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{file = "Pillow-9.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d19397351f73a88904ad1aee421e800fe4bbcd1aeee6435fb62d0a05ccd1030"},
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{file = "Pillow-9.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:ede5af4a2702444a832a800b8eb7f0a7a1c0eed55b644642e049c98d589e5092"},
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{file = "Pillow-9.0.1-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:b5b3f092fe345c03bca1e0b687dfbb39364b21ebb8ba90e3fa707374b7915204"},
|
||||
{file = "Pillow-9.0.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:335ace1a22325395c4ea88e00ba3dc89ca029bd66bd5a3c382d53e44f0ccd77e"},
|
||||
{file = "Pillow-9.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db6d9fac65bd08cea7f3540b899977c6dee9edad959fa4eaf305940d9cbd861c"},
|
||||
{file = "Pillow-9.0.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f154d173286a5d1863637a7dcd8c3437bb557520b01bddb0be0258dcb72696b5"},
|
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{file = "Pillow-9.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14d4b1341ac07ae07eb2cc682f459bec932a380c3b122f5540432d8977e64eae"},
|
||||
{file = "Pillow-9.0.1-cp38-cp38-win32.whl", hash = "sha256:effb7749713d5317478bb3acb3f81d9d7c7f86726d41c1facca068a04cf5bb4c"},
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||||
{file = "Pillow-9.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:7f7609a718b177bf171ac93cea9fd2ddc0e03e84d8fa4e887bdfc39671d46b00"},
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||||
{file = "Pillow-9.0.1-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:80ca33961ced9c63358056bd08403ff866512038883e74f3a4bf88ad3eb66838"},
|
||||
{file = "Pillow-9.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1c3c33ac69cf059bbb9d1a71eeaba76781b450bc307e2291f8a4764d779a6b28"},
|
||||
{file = "Pillow-9.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:12875d118f21cf35604176872447cdb57b07126750a33748bac15e77f90f1f9c"},
|
||||
{file = "Pillow-9.0.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:514ceac913076feefbeaf89771fd6febde78b0c4c1b23aaeab082c41c694e81b"},
|
||||
{file = "Pillow-9.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3c5c79ab7dfce6d88f1ba639b77e77a17ea33a01b07b99840d6ed08031cb2a7"},
|
||||
{file = "Pillow-9.0.1-cp39-cp39-win32.whl", hash = "sha256:718856856ba31f14f13ba885ff13874be7fefc53984d2832458f12c38205f7f7"},
|
||||
{file = "Pillow-9.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:f25ed6e28ddf50de7e7ea99d7a976d6a9c415f03adcaac9c41ff6ff41b6d86ac"},
|
||||
{file = "Pillow-9.0.1-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:011233e0c42a4a7836498e98c1acf5e744c96a67dd5032a6f666cc1fb97eab97"},
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||||
{file = "Pillow-9.0.1-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:253e8a302a96df6927310a9d44e6103055e8fb96a6822f8b7f514bb7ef77de56"},
|
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{file = "Pillow-9.0.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6295f6763749b89c994fcb6d8a7f7ce03c3992e695f89f00b741b4580b199b7e"},
|
||||
{file = "Pillow-9.0.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:a9f44cd7e162ac6191491d7249cceb02b8116b0f7e847ee33f739d7cb1ea1f70"},
|
||||
{file = "Pillow-9.0.1.tar.gz", hash = "sha256:6c8bc8238a7dfdaf7a75f5ec5a663f4173f8c367e5a39f87e720495e1eed75fa"},
|
||||
]
|
||||
platformdirs = [
|
||||
{file = "platformdirs-2.4.1-py3-none-any.whl", hash = "sha256:1d7385c7db91728b83efd0ca99a5afb296cab9d0ed8313a45ed8ba17967ecfca"},
|
||||
{file = "platformdirs-2.4.1.tar.gz", hash = "sha256:440633ddfebcc36264232365d7840a970e75e1018d15b4327d11f91909045fda"},
|
||||
{file = "platformdirs-2.5.1-py3-none-any.whl", hash = "sha256:bcae7cab893c2d310a711b70b24efb93334febe65f8de776ee320b517471e227"},
|
||||
{file = "platformdirs-2.5.1.tar.gz", hash = "sha256:7535e70dfa32e84d4b34996ea99c5e432fa29a708d0f4e394bbcb2a8faa4f16d"},
|
||||
]
|
||||
pluggy = [
|
||||
{file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"},
|
||||
|
|
@ -2488,8 +2480,8 @@ prometheus-client = [
|
|||
{file = "prometheus_client-0.13.1.tar.gz", hash = "sha256:ada41b891b79fca5638bd5cfe149efa86512eaa55987893becd2c6d8d0a5dfc5"},
|
||||
]
|
||||
prompt-toolkit = [
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||||
{file = "prompt_toolkit-3.0.26-py3-none-any.whl", hash = "sha256:4bcf119be2200c17ed0d518872ef922f1de336eb6d1ddbd1e089ceb6447d97c6"},
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||||
{file = "prompt_toolkit-3.0.26.tar.gz", hash = "sha256:a51d41a6a45fd9def54365bca8f0402c8f182f2b6f7e29c74d55faeb9fb38ac4"},
|
||||
{file = "prompt_toolkit-3.0.28-py3-none-any.whl", hash = "sha256:30129d870dcb0b3b6a53efdc9d0a83ea96162ffd28ffe077e94215b233dc670c"},
|
||||
{file = "prompt_toolkit-3.0.28.tar.gz", hash = "sha256:9f1cd16b1e86c2968f2519d7fb31dd9d669916f515612c269d14e9ed52b51650"},
|
||||
]
|
||||
ptyprocess = [
|
||||
{file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
|
||||
|
|
@ -2603,11 +2595,11 @@ pywin32 = [
|
|||
{file = "pywin32-303-cp39-cp39-win_amd64.whl", hash = "sha256:79cbb862c11b9af19bcb682891c1b91942ec2ff7de8151e2aea2e175899cda34"},
|
||||
]
|
||||
pywinpty = [
|
||||
{file = "pywinpty-2.0.1-cp310-none-win_amd64.whl", hash = "sha256:ec7d4841c82980519f31d2c61b7f93db4b773a66fce489a8a72377045fe04c4b"},
|
||||
{file = "pywinpty-2.0.1-cp37-none-win_amd64.whl", hash = "sha256:29550aafda86962b3b68e3454c11e26c1b8cf646dfafec33a4325c8d70ab4f36"},
|
||||
{file = "pywinpty-2.0.1-cp38-none-win_amd64.whl", hash = "sha256:dfdbcd0407c157c2024b0ea91b855caae25510fcf6c4da21c075253f05991a3a"},
|
||||
{file = "pywinpty-2.0.1-cp39-none-win_amd64.whl", hash = "sha256:c7cd0b30da5edd3e0b967842baa2aef1d205d991aa63a13c05afdb95d0812e69"},
|
||||
{file = "pywinpty-2.0.1.tar.gz", hash = "sha256:14e7321c6d43743af0de175fca9f111c5cc8d0a9f7c608c9e1cc69ec0d6ac146"},
|
||||
{file = "pywinpty-2.0.2-cp310-none-win_amd64.whl", hash = "sha256:4b421379b407bf2f52a64a4c58f61deffe623b5add02d871acb290b771bb6227"},
|
||||
{file = "pywinpty-2.0.2-cp37-none-win_amd64.whl", hash = "sha256:238b75fc456a6bc558761a89c9e6b3c8f2f54d79db03ae28997a68313c24b2ca"},
|
||||
{file = "pywinpty-2.0.2-cp38-none-win_amd64.whl", hash = "sha256:344858a0b956fdc64a547d5e1980b0257b47f5433ed7cb89bf7b6268cb280c6c"},
|
||||
{file = "pywinpty-2.0.2-cp39-none-win_amd64.whl", hash = "sha256:a4a066eaf2e30944d3028d946883ceb7883a499b53c4b89ca2d54bd7a4210550"},
|
||||
{file = "pywinpty-2.0.2.tar.gz", hash = "sha256:20ec117183f79642eff555ce0dd1823f942618d65813fb6122d14b6e34b5d05a"},
|
||||
]
|
||||
pyyaml = [
|
||||
{file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"},
|
||||
|
|
@ -2710,8 +2702,8 @@ safety = [
|
|||
{file = "safety-1.10.3.tar.gz", hash = "sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5"},
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||||
]
|
||||
semantic-version = [
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||||
{file = "semantic_version-2.8.5-py2.py3-none-any.whl", hash = "sha256:45e4b32ee9d6d70ba5f440ec8cc5221074c7f4b0e8918bdab748cc37912440a9"},
|
||||
{file = "semantic_version-2.8.5.tar.gz", hash = "sha256:d2cb2de0558762934679b9a104e82eca7af448c9f4974d1f3eeccff651df8a54"},
|
||||
{file = "semantic_version-2.9.0-py2.py3-none-any.whl", hash = "sha256:db2504ab37902dd2c9876ece53567aa43a5b2a417fbe188097b2048fff46da3d"},
|
||||
{file = "semantic_version-2.9.0.tar.gz", hash = "sha256:abf54873553e5e07a6fd4d5f653b781f5ae41297a493666b59dcf214006a12b2"},
|
||||
]
|
||||
send2trash = [
|
||||
{file = "Send2Trash-1.8.0-py3-none-any.whl", hash = "sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08"},
|
||||
|
|
@ -2722,27 +2714,32 @@ setuptools-scm = [
|
|||
{file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
|
||||
]
|
||||
shapely = [
|
||||
{file = "Shapely-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c5632cedea6d815b61eb4c264da1c3f24a8ce2ceba2f74e30fba340ca230563"},
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{file = "Shapely-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d4ce1f18a0c9bb6b483c73bd7a0eb3a5e90676bcc29b9c27120236e662195c9d"},
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||||
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||||
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||||
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|
||||
{file = "Shapely-1.8.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:68bdf463f7a609fbed42bbded18fa74c82a5741251984a5597d070060f4286f4"},
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||||
{file = "Shapely-1.8.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:2c3cc87e66cbffd00ce0457c03969b64935752824bf43a1cd61f21cf606997d6"},
|
||||
{file = "Shapely-1.8.0-cp37-cp37m-win32.whl", hash = "sha256:bd84d993a0e8e07f5ebb4c67794d5392fdd23ce59a7ccc121900f2080f57989a"},
|
||||
{file = "Shapely-1.8.0-cp37-cp37m-win_amd64.whl", hash = "sha256:796b15a483ac37c2dc757654186d0e064a42fb6f43cb9d1ff65d81cd0c92a84e"},
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{file = "Shapely-1.8.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:622f62d2b2da81dd40841a56db0f78bcf9f9af7a83c7d5f5dc9bcb234aa650ba"},
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||||
{file = "Shapely-1.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:26b43b69dfeb8a8cb27aacf5597134baf12337845c2bacb01809540c20d3d904"},
|
||||
{file = "Shapely-1.8.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:cfb9d72d255af1a484e3859f4c9bb737950faf1d16c21d2b949ffc4ba5f46147"},
|
||||
{file = "Shapely-1.8.0-cp38-cp38-win32.whl", hash = "sha256:f304243b1f4d7bca9b3c9fdeec6565171e1b611fb4a3d6c93efc870c8a75958c"},
|
||||
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|
||||
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|
||||
{file = "Shapely-1.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:13cbb959863cec32d48e2cffdc4bb81828bc3b0fa4256c9b2b32edac5021a0e4"},
|
||||
{file = "Shapely-1.8.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:7e1aebf4f1b2fbef40152fd531216387fcf6fe4ff2d777268381979b63c7c779"},
|
||||
{file = "Shapely-1.8.0-cp39-cp39-win32.whl", hash = "sha256:83145eda2e582c2046d1ecc6a0d7dbfe97f492434311124f65ea60f4e87a6b65"},
|
||||
{file = "Shapely-1.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:9b54ebd8fa4b78320f6d87032fe91363c7c1bf0f8d4a30eb93bca6413f787fd5"},
|
||||
{file = "Shapely-1.8.0.tar.gz", hash = "sha256:f5307ee14ba4199f8bbcf6532ca33064661c1433960c432c84f0daa73b47ef9c"},
|
||||
{file = "Shapely-1.8.1.post1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0ca96a3314b7a38a3bb385531469de1fcf2b2c2979ec2aa4f37b4c70632cf1ad"},
|
||||
{file = "Shapely-1.8.1.post1-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:493902923fdd135316161a4ece5294ba3ce81accaa54540d2af3b93f7231143a"},
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||||
{file = "Shapely-1.8.1.post1-cp310-cp310-win_amd64.whl", hash = "sha256:b82fc74d5efb11a71283c4ed69b4e036997cc70db4b73c646207ddf0476ade44"},
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||||
{file = "Shapely-1.8.1.post1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:89bc5f3abc1ccbc7682c2e1664153c4f8f125fa9c24bff4abca48685739d5636"},
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||||
{file = "Shapely-1.8.1.post1-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:44cb895b1710f7559c28d69dfa08cafe4f58cd4b7a87091a55bdf6711ad9ad66"},
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||||
{file = "Shapely-1.8.1.post1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:437fff3b6274be26ffa3e450de711ee01e436324b5a405952add2146227e3eb5"},
|
||||
{file = "Shapely-1.8.1.post1-cp36-cp36m-win32.whl", hash = "sha256:dc0f46212f84c57d13189fc33cf61e13eee292704d7652e931e4b51c54b0c73c"},
|
||||
{file = "Shapely-1.8.1.post1-cp36-cp36m-win_amd64.whl", hash = "sha256:9248aad099ecf228fbdd877b0c668823dd83c48798cf04d49a1be75167e3a7ce"},
|
||||
{file = "Shapely-1.8.1.post1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:bab5ff7c576588acccd665ecce2a0fe7b47d4ce0398f2d5c1e5b2e27d09398d2"},
|
||||
{file = "Shapely-1.8.1.post1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:2381ce0aff67d569eb509bcc051264aa5fbdc1fdd54f4c09963d0e09f16a8f1b"},
|
||||
{file = "Shapely-1.8.1.post1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b4d35e72022b2dbf152d476b0362596011c674ff68be9fc8f2e68e71d86502ca"},
|
||||
{file = "Shapely-1.8.1.post1-cp37-cp37m-win32.whl", hash = "sha256:5a420e7112b55a1587412a5b03ebf59e302ddd354da68516d3721718f6b8a7c5"},
|
||||
{file = "Shapely-1.8.1.post1-cp37-cp37m-win_amd64.whl", hash = "sha256:c4c366e18edf91196a399f8f0f046f93516002e6d8af0b57c23e7c7d91944b16"},
|
||||
{file = "Shapely-1.8.1.post1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2020fda37c708d44a613c020cea09e81e476f96866f348afc2601e66c0e71db1"},
|
||||
{file = "Shapely-1.8.1.post1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:69d5352fb977655c85d2f40a05ae24fc5053cccee77d0a8b1f773e54804e723e"},
|
||||
{file = "Shapely-1.8.1.post1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:83f3c8191d30ae0e3dd557434c48ca591d75342d5a3f42fc5148ec42796be624"},
|
||||
{file = "Shapely-1.8.1.post1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:3e792635e92c9aacd1452a589a4fa2970114b6a9b1165e09655481f6e58970f5"},
|
||||
{file = "Shapely-1.8.1.post1-cp38-cp38-win32.whl", hash = "sha256:8cf7331f61780506976fe2175e069d898e1b04ace73be21aad55c3ee92e58e3a"},
|
||||
{file = "Shapely-1.8.1.post1-cp38-cp38-win_amd64.whl", hash = "sha256:f109064bdb0753a6bac6238538cfeeb4a09739e2d556036b343b2eabeb9520b2"},
|
||||
{file = "Shapely-1.8.1.post1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:aea1e87450adffba3d04ccbaa790df719bb7aa23b05ac797ad16be236a5d0db8"},
|
||||
{file = "Shapely-1.8.1.post1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3a3602ba2e7715ddd5d4114173dec83d3181bfb2497e8589676c284aa739fd67"},
|
||||
{file = "Shapely-1.8.1.post1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:679789d774cfe09ca05118cab78c0a6a42985b3ed23bc93606272a4509b4df28"},
|
||||
{file = "Shapely-1.8.1.post1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:363df36370f28fdc7789857929f6ff27e659f64087b4c89f7a47ed43bd3bfe4d"},
|
||||
{file = "Shapely-1.8.1.post1-cp39-cp39-win32.whl", hash = "sha256:bc6063875182515d3888180cc4cbdbaa6443e4a4386c4bb25499e9875b75dcac"},
|
||||
{file = "Shapely-1.8.1.post1-cp39-cp39-win_amd64.whl", hash = "sha256:54aeb2a57978ce731fd52289d0e1deee7c232d41aed53091f38776378f644184"},
|
||||
{file = "Shapely-1.8.1.post1.tar.gz", hash = "sha256:93ff06ff05fbe2be843b93c7b1ad8292e56e665ba01b4708f75ae8a757972e9f"},
|
||||
]
|
||||
six = [
|
||||
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
|
||||
|
|
@ -2753,8 +2750,8 @@ terminado = [
|
|||
{file = "terminado-0.13.1.tar.gz", hash = "sha256:5b82b5c6e991f0705a76f961f43262a7fb1e55b093c16dca83f16384a7f39b7b"},
|
||||
]
|
||||
testpath = [
|
||||
{file = "testpath-0.5.0-py3-none-any.whl", hash = "sha256:8044f9a0bab6567fc644a3593164e872543bb44225b0e24846e2c89237937589"},
|
||||
{file = "testpath-0.5.0.tar.gz", hash = "sha256:1acf7a0bcd3004ae8357409fc33751e16d37ccc650921da1094a86581ad1e417"},
|
||||
{file = "testpath-0.6.0-py3-none-any.whl", hash = "sha256:8ada9f80a2ac6fb0391aa7cdb1a7d11cfa8429f693eda83f74dde570fe6fa639"},
|
||||
{file = "testpath-0.6.0.tar.gz", hash = "sha256:2f1b97e6442c02681ebe01bd84f531028a7caea1af3825000f52345c30285e0f"},
|
||||
]
|
||||
toml = [
|
||||
{file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
|
||||
|
|
@ -2824,16 +2821,16 @@ traitlets = [
|
|||
{file = "traitlets-5.1.1.tar.gz", hash = "sha256:059f456c5a7c1c82b98c2e8c799f39c9b8128f6d0d46941ee118daace9eb70c7"},
|
||||
]
|
||||
types-requests = [
|
||||
{file = "types-requests-2.27.8.tar.gz", hash = "sha256:c2f4e4754d07ca0a88fd8a89bbc6c8a9f90fb441f9c9b572fd5c484f04817486"},
|
||||
{file = "types_requests-2.27.8-py3-none-any.whl", hash = "sha256:8ec9f5f84adc6f579f53943312c28a84e87dc70201b54f7c4fbc7d22ecfa8a3e"},
|
||||
{file = "types-requests-2.27.11.tar.gz", hash = "sha256:6a7ed24b21780af4a5b5e24c310b2cd885fb612df5fd95584d03d87e5f2a195a"},
|
||||
{file = "types_requests-2.27.11-py3-none-any.whl", hash = "sha256:506279bad570c7b4b19ac1f22e50146538befbe0c133b2cea66a9b04a533a859"},
|
||||
]
|
||||
types-urllib3 = [
|
||||
{file = "types-urllib3-1.26.9.tar.gz", hash = "sha256:abd2d4857837482b1834b4817f0587678dcc531dbc9abe4cde4da28cef3f522c"},
|
||||
{file = "types_urllib3-1.26.9-py3-none-any.whl", hash = "sha256:4a54f6274ab1c80968115634a55fb9341a699492b95e32104a7c513db9fe02e9"},
|
||||
{file = "types-urllib3-1.26.10.tar.gz", hash = "sha256:a26898f530e6c3f43f25b907f2b884486868ffd56a9faa94cbf9b3eb6e165d6a"},
|
||||
{file = "types_urllib3-1.26.10-py3-none-any.whl", hash = "sha256:d755278d5ecd7a7a6479a190e54230f241f1a99c19b81518b756b19dc69e518c"},
|
||||
]
|
||||
typing-extensions = [
|
||||
{file = "typing_extensions-4.0.1-py3-none-any.whl", hash = "sha256:7f001e5ac290a0c0401508864c7ec868be4e701886d5b573a9528ed3973d9d3b"},
|
||||
{file = "typing_extensions-4.0.1.tar.gz", hash = "sha256:4ca091dea149f945ec56afb48dae714f21e8692ef22a395223bcd328961b6a0e"},
|
||||
{file = "typing_extensions-4.1.1-py3-none-any.whl", hash = "sha256:21c85e0fe4b9a155d0799430b0ad741cdce7e359660ccbd8b530613e8df88ce2"},
|
||||
{file = "typing_extensions-4.1.1.tar.gz", hash = "sha256:1a9462dcc3347a79b1f1c0271fbe79e844580bb598bafa1ed208b94da3cdcd42"},
|
||||
]
|
||||
urllib3 = [
|
||||
{file = "urllib3-1.26.8-py2.py3-none-any.whl", hash = "sha256:000ca7f471a233c2251c6c7023ee85305721bfdf18621ebff4fd17a8653427ed"},
|
||||
|
|
@ -2843,8 +2840,8 @@ us = [
|
|||
{file = "us-2.0.2.tar.gz", hash = "sha256:cb11ad0d43deff3a1c3690c74f0c731cff5b862c73339df2edd91133e1496fbc"},
|
||||
]
|
||||
virtualenv = [
|
||||
{file = "virtualenv-20.13.0-py2.py3-none-any.whl", hash = "sha256:339f16c4a86b44240ba7223d0f93a7887c3ca04b5f9c8129da7958447d079b09"},
|
||||
{file = "virtualenv-20.13.0.tar.gz", hash = "sha256:d8458cf8d59d0ea495ad9b34c2599487f8a7772d796f9910858376d1600dd2dd"},
|
||||
{file = "virtualenv-20.13.2-py2.py3-none-any.whl", hash = "sha256:e7b34c9474e6476ee208c43a4d9ac1510b041c68347eabfe9a9ea0c86aa0a46b"},
|
||||
{file = "virtualenv-20.13.2.tar.gz", hash = "sha256:01f5f80744d24a3743ce61858123488e91cb2dd1d3bdf92adaf1bba39ffdedf0"},
|
||||
]
|
||||
wcwidth = [
|
||||
{file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
|
||||
|
|
|
|||
|
|
@ -15,7 +15,7 @@ jupyter-contrib-nbextensions = "^0.5.1"
|
|||
matplotlib = "^3.4.2"
|
||||
numpy = "^1.22.1"
|
||||
pandas = "^1.2.5"
|
||||
pillow = "9.0.0"
|
||||
pillow = "9.0.1"
|
||||
python = "^3.8"
|
||||
pypandoc = "^1.6.3"
|
||||
requests = "^2.25.1"
|
||||
|
|
@ -39,6 +39,7 @@ tox = "^3.24.0"
|
|||
pytest-mock = "^3.6.1"
|
||||
tox-poetry = "^0.4.1"
|
||||
pandas-vet = "^0.2.2"
|
||||
nb-black = "^1.0.7"
|
||||
|
||||
[build-system]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue